Introduction
Hours: 40
Competitive salary a year on a permanent 35-hour per week contract
Send in your application by 31st March 2019.
Nationwide has recently launched a new data strategy which will transform the way the Society thinks about, values and manages its data. As part of this new strategy the data & analytics community, and more specifically, the data solutions team has a number of exciting new roles to help deliver on the promises of reducing the number of legacy data stores, simplifying the architectural landscape and treating data as a valued asset. This role will focus on delivering reporting and analytics solutions on our Hadoop data lake, setting up and leading an enduring in-house engineering capability and helping drive the data strategy. Combining accountabilities for delivery, continuous improvement and building an in-house capability, this exciting new role will provide the opportunity to work with some cutting-edge technologies, industry leading vendors and help shape and drive the next phase of the strategy execution.
What you'll be doing
Reporting to the Snr Mgr Data Engineering, you will lead a team of engineers responsible for the implementation of data solutions onto the new Hadoop data lake in support of our strategy objective of simplifying our data landscape and delivery of insight and innovation. Working directly with business and IT stakeholders you will drive best practise, innovation and automation in the industrialisation of complex strategic IT initiatives alongside smaller user driven demand. Working with Architecture you’ll be driving strategy, technology best practise and ensuring the platform remains relevant and up to date with industry trends and emerging technologies. Working with data governance teams and the wider D&A community you will ensure that the data remains secure, well managed and fully governed and help to drive increased adoption of the data solutions across the enterprise.
Who we're looking for
As a minimum requirement you’ll:
Have significant experience of data lake and data warehouse delivery gained in a mix of industry sectors
Have strong experience in the Hadoop big data appliance and a broad range of associated technologies, such as Python, R, Spark, HIVE, Scala
Be a strong leader with a deep technical understanding as you will be required to setup and lead a team of engineers alongside setting strategy
Be able to demonstrate line management experience, be able to set SMART objectives and drive high performance and continual improvement
Have excellent stakeholder management and influencing skills
It would be nice if you also had:
Hands-on experience of commercial ETL tooling, such as Informatica, Ab Initio or DataStage
Experience of appliance databases, such as Teradata
Have worked in the financial sector for part of your career to date
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23% • Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to an annual performance related bonus scheme
Interested?
Please apply by using the 'Apply now' button. No recruitment agencies please.
25/03/2019
Full time
Introduction
Hours: 40
Competitive salary a year on a permanent 35-hour per week contract
Send in your application by 31st March 2019.
Nationwide has recently launched a new data strategy which will transform the way the Society thinks about, values and manages its data. As part of this new strategy the data & analytics community, and more specifically, the data solutions team has a number of exciting new roles to help deliver on the promises of reducing the number of legacy data stores, simplifying the architectural landscape and treating data as a valued asset. This role will focus on delivering reporting and analytics solutions on our Hadoop data lake, setting up and leading an enduring in-house engineering capability and helping drive the data strategy. Combining accountabilities for delivery, continuous improvement and building an in-house capability, this exciting new role will provide the opportunity to work with some cutting-edge technologies, industry leading vendors and help shape and drive the next phase of the strategy execution.
What you'll be doing
Reporting to the Snr Mgr Data Engineering, you will lead a team of engineers responsible for the implementation of data solutions onto the new Hadoop data lake in support of our strategy objective of simplifying our data landscape and delivery of insight and innovation. Working directly with business and IT stakeholders you will drive best practise, innovation and automation in the industrialisation of complex strategic IT initiatives alongside smaller user driven demand. Working with Architecture you’ll be driving strategy, technology best practise and ensuring the platform remains relevant and up to date with industry trends and emerging technologies. Working with data governance teams and the wider D&A community you will ensure that the data remains secure, well managed and fully governed and help to drive increased adoption of the data solutions across the enterprise.
Who we're looking for
As a minimum requirement you’ll:
Have significant experience of data lake and data warehouse delivery gained in a mix of industry sectors
Have strong experience in the Hadoop big data appliance and a broad range of associated technologies, such as Python, R, Spark, HIVE, Scala
Be a strong leader with a deep technical understanding as you will be required to setup and lead a team of engineers alongside setting strategy
Be able to demonstrate line management experience, be able to set SMART objectives and drive high performance and continual improvement
Have excellent stakeholder management and influencing skills
It would be nice if you also had:
Hands-on experience of commercial ETL tooling, such as Informatica, Ab Initio or DataStage
Experience of appliance databases, such as Teradata
Have worked in the financial sector for part of your career to date
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23% • Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to an annual performance related bonus scheme
Interested?
Please apply by using the 'Apply now' button. No recruitment agencies please.
Introduction
Hours: 40
Salary: £50,840 to £72,436 per annum plus bonus and benefits on a permanent, 35-hour contract.
Send in your application by 30th April 2019.
The Analytics Hub sits in a new, data-led community that provides analytic and data science-based solutions to all areas of Nationwide. We solve real business problems, improve customer experience and drive efficiency. It’s an exciting time to join as the demand for innovation and analytics is increasing, so you’ll be able to grow with us in a fast-paced, dynamic environment.
What you'll be doing
Working within the Agile framework, and a hub-and-spoke data science model, you will collaborate with different communities to understand the difficulties they face and identify improvements. You’ll develop new analytics use cases for the team to deliver and work collaboratively with both the data engineering teams and business stakeholders to understand how data can be used to support use case delivery. The data you use will be varied and multi-faceted, and the insights you generate along the way will prove invaluable. We are constantly looking to utilise more varied structured, semi-structured and unstructured data sources to bring additional dimensions into our analysis. A key part of your role will be to seek out those sources and spot opportunities. Comfortable working with senior business leaders, you’ll build relationships across the Society, creating compelling data driven stories to support your outputs and findings. We are currently investing in a new Big Data platform based on Hortonworks Hadoop, Teradata and Open Source tooling. We’ll use this technology to develop a strong data science capability and you will be at the forefront of early adopters looking to embrace and grow this capability.
Who we're looking for
We’re looking for a data scientist with a specialism in analytics who is enthusiastic, proactive and ready to bring fresh ideas and methods to the team. As a minimum, you’ll:
Be a fluent communicator
Have experience with databases and SQL as well as processing unstructured data
Have expertise using Python/R
Have a Masters or PhD in maths, statistics, computer science, physics, economics or related field.
Have knowledge of linear algebra, high order statistics and machine learning algorithms such as Support Vector Machines, Random Forest, Artificial Neural networks
Hadoop, PySpark, Natural Language Processing or Deep learning experience would be beneficial
Experience interpreting outputs of models and building visualizations to depict your interpretations
Have completed end-to-end analytical pieces of work, bringing the output to life through compelling story telling to ensure business adoption.
Be innovative, creative and agile, developing and championing new ideas, spotting opportunities, and learning fast along the way.
Experience of SAS EM, VA/VS would be beneficial
Experience of productionising models would be beneficial
The extras you'll get
Feeling as though you belong means being valued, recognised and rewarded. We aim to give our people a good work-life balance, so you’ll receive your schedule in advance, helping you to organise your life. We show our support through the recognition and rewards scheme we offer:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23%
Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to a healthcare scheme
Access to an annual performance related bonus scheme
Interested?
Apply online via the 'Apply now' button.
22/03/2019
Full time
Introduction
Hours: 40
Salary: £50,840 to £72,436 per annum plus bonus and benefits on a permanent, 35-hour contract.
Send in your application by 30th April 2019.
The Analytics Hub sits in a new, data-led community that provides analytic and data science-based solutions to all areas of Nationwide. We solve real business problems, improve customer experience and drive efficiency. It’s an exciting time to join as the demand for innovation and analytics is increasing, so you’ll be able to grow with us in a fast-paced, dynamic environment.
What you'll be doing
Working within the Agile framework, and a hub-and-spoke data science model, you will collaborate with different communities to understand the difficulties they face and identify improvements. You’ll develop new analytics use cases for the team to deliver and work collaboratively with both the data engineering teams and business stakeholders to understand how data can be used to support use case delivery. The data you use will be varied and multi-faceted, and the insights you generate along the way will prove invaluable. We are constantly looking to utilise more varied structured, semi-structured and unstructured data sources to bring additional dimensions into our analysis. A key part of your role will be to seek out those sources and spot opportunities. Comfortable working with senior business leaders, you’ll build relationships across the Society, creating compelling data driven stories to support your outputs and findings. We are currently investing in a new Big Data platform based on Hortonworks Hadoop, Teradata and Open Source tooling. We’ll use this technology to develop a strong data science capability and you will be at the forefront of early adopters looking to embrace and grow this capability.
Who we're looking for
We’re looking for a data scientist with a specialism in analytics who is enthusiastic, proactive and ready to bring fresh ideas and methods to the team. As a minimum, you’ll:
Be a fluent communicator
Have experience with databases and SQL as well as processing unstructured data
Have expertise using Python/R
Have a Masters or PhD in maths, statistics, computer science, physics, economics or related field.
Have knowledge of linear algebra, high order statistics and machine learning algorithms such as Support Vector Machines, Random Forest, Artificial Neural networks
Hadoop, PySpark, Natural Language Processing or Deep learning experience would be beneficial
Experience interpreting outputs of models and building visualizations to depict your interpretations
Have completed end-to-end analytical pieces of work, bringing the output to life through compelling story telling to ensure business adoption.
Be innovative, creative and agile, developing and championing new ideas, spotting opportunities, and learning fast along the way.
Experience of SAS EM, VA/VS would be beneficial
Experience of productionising models would be beneficial
The extras you'll get
Feeling as though you belong means being valued, recognised and rewarded. We aim to give our people a good work-life balance, so you’ll receive your schedule in advance, helping you to organise your life. We show our support through the recognition and rewards scheme we offer:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23%
Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to a healthcare scheme
Access to an annual performance related bonus scheme
Interested?
Apply online via the 'Apply now' button.
We are getting our hands on huge amounts of data while producing video. Efficient ways to parse the data and build a database suitable for training detection and behavioral analytics algorithms will be a fundamental part of future development.
Responsibilities:
Develop mechanisms to automatically store metadata out of the live footage and the camera operation from every Seervision robot camera (labeling in machine learning). Format footage and metadata for use in (un)supervised machine learning tasks. Develop software bridges between footage metadata and commercial video processing software.
Potential:
Take full control of the machine learning tasks and focus solely on R&D in close collaboration with ETH. Control over team hiring decisions.
Advantages:
2+ year in machine learning, preferably with neural networks. Experience with video processing software (e.g. Adobe Premiere).
16/04/2019
Full time
We are getting our hands on huge amounts of data while producing video. Efficient ways to parse the data and build a database suitable for training detection and behavioral analytics algorithms will be a fundamental part of future development.
Responsibilities:
Develop mechanisms to automatically store metadata out of the live footage and the camera operation from every Seervision robot camera (labeling in machine learning). Format footage and metadata for use in (un)supervised machine learning tasks. Develop software bridges between footage metadata and commercial video processing software.
Potential:
Take full control of the machine learning tasks and focus solely on R&D in close collaboration with ETH. Control over team hiring decisions.
Advantages:
2+ year in machine learning, preferably with neural networks. Experience with video processing software (e.g. Adobe Premiere).
IHS Markit (Nasdaq: INFO) is a world leader in critical information, analytics and solutions for the major industries and markets that drive economies worldwide. The company delivers next-generation information, analytics and solutions to customers in business, finance and government, improving their operational efficiency and providing deep insights that lead to well-informed, confident decisions. IHS Markit has more than 50,000 key business and government customers, including 80 percent of the Fortune Global 500 and the world’s leading financial institutions. Headquartered in London, IHS Markit is committed to sustainable, profitable growth.
The Data Scientist will support the project insights gained from analyzing company data. The candidate must have good experience using a variety of data mining/data analysis methods, using a variety of data tools, helping building and implementing models. The candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
In this role, the candidate will apply practical experience in mining, cleansing, and analyzing unsynchronised data, understanding of data science algorithms and willingness to write code to explore problems and understand data. The candidate will work hand-in-hand with Subject Matter Experts and the technical team.
The ideal candidate responsibilities will include;
2-3 years of experience manipulating data sets and building statistical model
Analyse data from company databases to drive optimization and improvement of product development and business strategies
A passion for discovering solutions hidden in large data set
SQL skills for data retrieval, analysis and data cleansing
Develop processes and tools to monitor and analyse model performance and data accuracy
Understanding of data science algorithms
Personal Specification
Experience with programming languages such as R/Python..
Solid background in programming, good knowledge of operating system
Robust knowledge on Database structures (Oracle, SQL)
An understanding of Data Management Systems.
Good knowledge of an Agile development environment
Keep up-to-date with latest technology trends (Machine Learning)
Be an effective communicator, self-motivated, and able to drive insights into actions
Excellent written and verbal communication skills for coordinating across teams
Fluent English language (spoken and written; French a plus.
Ability to explain a technical subject to a non-technical audience
Delivering, communicating, and/or presenting results
Analytical skills, methodological thinking and problem-solving capabilities
IHS Markit is committed to Equal Employment Opportunity and providing reasonable accommodations to applicants with disabilities. If you are interested in applying for employment with IHS Markit and need special assistance or accommodation to use our website to apply to a position, please contact accessibility@ihsmarkit.com or call +1 212 849 0399. Determination on requests for reasonable accommodation will be considered on a case-by-case basis.
This contact information (email and phone) is intended for application assistance and accommodation requests only.
We are unable to accept resumes or provide information about application status through the phone number or email address above. Resumes are only accepted through the online application process and only qualified candidates will receive consideration and follow-up.
IHS Markit is proud to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by law. We maintain a drug-free workplace and perform pre-employment drug testing. As a federal contractor in the United States, IHS Markit is required to participate in the E-Verify Program to confirm eligibility to work in the United States. For information regarding legal rights and protections in the United States
Current Colleagues
If you are currently employed by IHS Markit, please apply internally via the Workday internal careers site.
11/04/2019
Full time
IHS Markit (Nasdaq: INFO) is a world leader in critical information, analytics and solutions for the major industries and markets that drive economies worldwide. The company delivers next-generation information, analytics and solutions to customers in business, finance and government, improving their operational efficiency and providing deep insights that lead to well-informed, confident decisions. IHS Markit has more than 50,000 key business and government customers, including 80 percent of the Fortune Global 500 and the world’s leading financial institutions. Headquartered in London, IHS Markit is committed to sustainable, profitable growth.
The Data Scientist will support the project insights gained from analyzing company data. The candidate must have good experience using a variety of data mining/data analysis methods, using a variety of data tools, helping building and implementing models. The candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
In this role, the candidate will apply practical experience in mining, cleansing, and analyzing unsynchronised data, understanding of data science algorithms and willingness to write code to explore problems and understand data. The candidate will work hand-in-hand with Subject Matter Experts and the technical team.
The ideal candidate responsibilities will include;
2-3 years of experience manipulating data sets and building statistical model
Analyse data from company databases to drive optimization and improvement of product development and business strategies
A passion for discovering solutions hidden in large data set
SQL skills for data retrieval, analysis and data cleansing
Develop processes and tools to monitor and analyse model performance and data accuracy
Understanding of data science algorithms
Personal Specification
Experience with programming languages such as R/Python..
Solid background in programming, good knowledge of operating system
Robust knowledge on Database structures (Oracle, SQL)
An understanding of Data Management Systems.
Good knowledge of an Agile development environment
Keep up-to-date with latest technology trends (Machine Learning)
Be an effective communicator, self-motivated, and able to drive insights into actions
Excellent written and verbal communication skills for coordinating across teams
Fluent English language (spoken and written; French a plus.
Ability to explain a technical subject to a non-technical audience
Delivering, communicating, and/or presenting results
Analytical skills, methodological thinking and problem-solving capabilities
IHS Markit is committed to Equal Employment Opportunity and providing reasonable accommodations to applicants with disabilities. If you are interested in applying for employment with IHS Markit and need special assistance or accommodation to use our website to apply to a position, please contact accessibility@ihsmarkit.com or call +1 212 849 0399. Determination on requests for reasonable accommodation will be considered on a case-by-case basis.
This contact information (email and phone) is intended for application assistance and accommodation requests only.
We are unable to accept resumes or provide information about application status through the phone number or email address above. Resumes are only accepted through the online application process and only qualified candidates will receive consideration and follow-up.
IHS Markit is proud to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by law. We maintain a drug-free workplace and perform pre-employment drug testing. As a federal contractor in the United States, IHS Markit is required to participate in the E-Verify Program to confirm eligibility to work in the United States. For information regarding legal rights and protections in the United States
Current Colleagues
If you are currently employed by IHS Markit, please apply internally via the Workday internal careers site.
Dathena is a Swiss and Singaporean company developing data governance software based on machine learning an artificial intelligence. Dathena is the most complete and accurate data governance platform, and is the only solution to easily classify and manage data with this level of accuracy while helping companies to comply with regulations.
Using cutting edge machine learning technology Dathena sift through all of unstructured data, allowing to regain full control on company’s information. The velocity and density of information in digital business has significant business benefits due to the insights it creates. However, it exposes new risks on how to protect this data and new privacy challenges to guide its appropriate use. Digital business requires a new view on security and privacy, one that is driven by the level of risk appetite and enablement of business and technology strategy.
Job purpose
This position will be part of the Client Solutions Team, and responsible for providing clients with the guidance and support needed throughout the full lifecycle of our solution’s implementation to ensure the successful and most effective use of Dathena’s products.In addition, this person will be a leader in ensuring overall client and partner satisfaction with Dathena’s products and related services. You will act as a trusted technical advisor to support our clients to ensure they remain successful and realize the full value of their investment in our product.
Responsibilities
Become a trusted expert in Dathena, our client platforms & partner vendor functionality to provide effective operational guidance around these technologies.
Oversee client service requests acting as a service delivery and escalation manager.
Help partners in their day-to-day challenges as our customers’ go-to resource for troubleshooting technical issues
Build client success and prioritization plans aligned to key performance indicators and objectives.
Ensure key accounts are updated on new product features and produce roadmaps to implement.
Educate clients on the value of the overall solution and encourage optimal utilization.
Channel customers’ feedback to the Dathena product team.
Assist in prioritizing product requirements and platform improvements by understanding and communicating customers’ needs.
Identify pattern and constantly look for opportunity to industrialize the Assessment to subscription process
Develop best practice recommendations for Dathena clients based on product and vertical experience gained in the field.
Key metrics
Customer and Partner satisfaction
Implementation duration
# of conversion of Customers to subscription
Contributions to product and sales process improvement
Desired Experience
Comfortable managing technical conversations with technical and non-technical stakeholders.
Problem-solving skills around technical, product, and business questions.
Ability to build great relationships with technical and non-technical customers
Contribute to the success of a dynamic and growing organization
Good knowledge in using query languages such as SQL, Hive, Pig, etc.
Good scripting and programming skills: Bash, Python, Scala, Java.
Good understanding of machine learning techniques and algorithms, such as K-means, k-NN, Naive Bayes, SVM, Decision Forests, etc.
Knowledge with common data science toolkits, such as R, Spark, NumPy, etc. Excellence in at least one of these is highly desirable
Knowledge with NoSQL databases, such as Cassandra and HBase
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Soft Skills
Fluent in English; French or German is a plus
Data-oriented personality
Exceptional Oral and Written Communication Skills
Time management
Interpersonal Skills
Critical Thinking
Working conditions
As a critical link between the client and the development, you must fully embrace the team spirit of a young and innovative Start-up.Travel and working from remote locations may be required.Scope: Expandable to EMEA depending on expertise and company growth.
10/04/2019
Full time
Dathena is a Swiss and Singaporean company developing data governance software based on machine learning an artificial intelligence. Dathena is the most complete and accurate data governance platform, and is the only solution to easily classify and manage data with this level of accuracy while helping companies to comply with regulations.
Using cutting edge machine learning technology Dathena sift through all of unstructured data, allowing to regain full control on company’s information. The velocity and density of information in digital business has significant business benefits due to the insights it creates. However, it exposes new risks on how to protect this data and new privacy challenges to guide its appropriate use. Digital business requires a new view on security and privacy, one that is driven by the level of risk appetite and enablement of business and technology strategy.
Job purpose
This position will be part of the Client Solutions Team, and responsible for providing clients with the guidance and support needed throughout the full lifecycle of our solution’s implementation to ensure the successful and most effective use of Dathena’s products.In addition, this person will be a leader in ensuring overall client and partner satisfaction with Dathena’s products and related services. You will act as a trusted technical advisor to support our clients to ensure they remain successful and realize the full value of their investment in our product.
Responsibilities
Become a trusted expert in Dathena, our client platforms & partner vendor functionality to provide effective operational guidance around these technologies.
Oversee client service requests acting as a service delivery and escalation manager.
Help partners in their day-to-day challenges as our customers’ go-to resource for troubleshooting technical issues
Build client success and prioritization plans aligned to key performance indicators and objectives.
Ensure key accounts are updated on new product features and produce roadmaps to implement.
Educate clients on the value of the overall solution and encourage optimal utilization.
Channel customers’ feedback to the Dathena product team.
Assist in prioritizing product requirements and platform improvements by understanding and communicating customers’ needs.
Identify pattern and constantly look for opportunity to industrialize the Assessment to subscription process
Develop best practice recommendations for Dathena clients based on product and vertical experience gained in the field.
Key metrics
Customer and Partner satisfaction
Implementation duration
# of conversion of Customers to subscription
Contributions to product and sales process improvement
Desired Experience
Comfortable managing technical conversations with technical and non-technical stakeholders.
Problem-solving skills around technical, product, and business questions.
Ability to build great relationships with technical and non-technical customers
Contribute to the success of a dynamic and growing organization
Good knowledge in using query languages such as SQL, Hive, Pig, etc.
Good scripting and programming skills: Bash, Python, Scala, Java.
Good understanding of machine learning techniques and algorithms, such as K-means, k-NN, Naive Bayes, SVM, Decision Forests, etc.
Knowledge with common data science toolkits, such as R, Spark, NumPy, etc. Excellence in at least one of these is highly desirable
Knowledge with NoSQL databases, such as Cassandra and HBase
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Soft Skills
Fluent in English; French or German is a plus
Data-oriented personality
Exceptional Oral and Written Communication Skills
Time management
Interpersonal Skills
Critical Thinking
Working conditions
As a critical link between the client and the development, you must fully embrace the team spirit of a young and innovative Start-up.Travel and working from remote locations may be required.Scope: Expandable to EMEA depending on expertise and company growth.
We've got a mission for you instead. You're the best at what you do. You don't just want a job. You're looking for the ultimate challenge. In a team that knows no limits, because you don't either.
Welcome to Advertima. We combine machine learning, computer vision, and smart data to visually interpret human behavior in the physical world. More specifically, we detect people's physical appearance, their full-body motion and the situational context in real-time.
In short: We are a Tech-Startup and we develop an AI-driven computer vision technology to enable organizations to better understand their customers and audiences and engage with them in the physical world. Our software is already operational with prominent clients, and now it is time to conquer the world. Do you want to help shape our success story?
Join our team as Computer Vision & Machine Learning Engineer:
Your role...
Participate in cutting edge research in computer vision, artificial intelligence and machine learning applications
Develop solutions for real world, large scale problems
Your profile...
MSc/PhD in Computer Science, Artificial Intelligence, Machine Learning, Math or related technical field
Algorithmic background and rock-solid problem solving skills
Strong background in computer vision or machine learning
Solid coding experience in system components and experience in various software engineering systems
Passion for quality, performance and reliability
Excellent teamwork and communication skills
Ideally you will also have...
Experience in deep learning & non linear optimization
What we offer...
An international, young and highly motivated team of start-up professionals
A fast-paced, dynamic and innovative working environment
The opportunity to strongly impact on the future of Advertima
An organizational model that distributes power across peers
A workplace in the modern Y&R Coworking Space (ZH) and/or STARTFELD Innovation Hub (SG)
Flexible vacation policy
Self-development budget
Monthly team brunch
Competitive compensation
Phantom stock options
Ready for the mission? Don't keep us in suspense.
09/04/2019
Full time
We've got a mission for you instead. You're the best at what you do. You don't just want a job. You're looking for the ultimate challenge. In a team that knows no limits, because you don't either.
Welcome to Advertima. We combine machine learning, computer vision, and smart data to visually interpret human behavior in the physical world. More specifically, we detect people's physical appearance, their full-body motion and the situational context in real-time.
In short: We are a Tech-Startup and we develop an AI-driven computer vision technology to enable organizations to better understand their customers and audiences and engage with them in the physical world. Our software is already operational with prominent clients, and now it is time to conquer the world. Do you want to help shape our success story?
Join our team as Computer Vision & Machine Learning Engineer:
Your role...
Participate in cutting edge research in computer vision, artificial intelligence and machine learning applications
Develop solutions for real world, large scale problems
Your profile...
MSc/PhD in Computer Science, Artificial Intelligence, Machine Learning, Math or related technical field
Algorithmic background and rock-solid problem solving skills
Strong background in computer vision or machine learning
Solid coding experience in system components and experience in various software engineering systems
Passion for quality, performance and reliability
Excellent teamwork and communication skills
Ideally you will also have...
Experience in deep learning & non linear optimization
What we offer...
An international, young and highly motivated team of start-up professionals
A fast-paced, dynamic and innovative working environment
The opportunity to strongly impact on the future of Advertima
An organizational model that distributes power across peers
A workplace in the modern Y&R Coworking Space (ZH) and/or STARTFELD Innovation Hub (SG)
Flexible vacation policy
Self-development budget
Monthly team brunch
Competitive compensation
Phantom stock options
Ready for the mission? Don't keep us in suspense.
We've got a mission for you instead. You're the best at what you do. You don't just want a job. You're looking for the ultimate challenge. In a team that knows no limits, because you don't either.
Welcome to Advertima. We combine machine learning, computer vision, and smart data to visually interpret human behavior in the physical world. More specifically, we detect people's physical appearance, their full-body motion and the situational context in real-time.
In short: We are a Tech-Startup and we develop an AI-driven computer vision technology to enable organizations to better understand their customers and audiences and engage with them in the physical world. Our software is already operational with prominent clients, and now it is time to conquer the world. Do you want to help shape our success story?
Join our team as Computer Vision & Machine Learning Intern:
Your role...
Participate in cutting edge research in computer vision, artificial intelligence and machine learning applications
Develop solutions for real world, large scale problems
Your profile...
BSc/MSc in Computer Science, Artificial Intelligence, Machine Learning, Math or related technical field
Algorithmic background and rock-solid problem solving skills
Background in computer vision or machine learning
Solid coding experience in system components and experience in various software engineering systems
Passion for quality, performance and reliability
Excellent teamwork and communication skills
Availability of at least 6 months, interest in a fixed position preferred
Ideally you will also have...
Experience in deep learning & non linear optimization
What we offer...
An international, young and highly motivated team of start-up professionals
A fast-paced, dynamic and innovative working environment
The opportunity to strongly impact on the future of Advertima & to be transferred to a fixed position after 6 months
An organizational model that distributes power across peers
A workplace in the modern Y&R Coworking Space (ZH) and/or STARTFELD Innovation Hub (SG)
Flexible vacation policy
Self-development budget
Monthly team brunch
Competitive compensation
Phantom stock options
09/04/2019
Full time
We've got a mission for you instead. You're the best at what you do. You don't just want a job. You're looking for the ultimate challenge. In a team that knows no limits, because you don't either.
Welcome to Advertima. We combine machine learning, computer vision, and smart data to visually interpret human behavior in the physical world. More specifically, we detect people's physical appearance, their full-body motion and the situational context in real-time.
In short: We are a Tech-Startup and we develop an AI-driven computer vision technology to enable organizations to better understand their customers and audiences and engage with them in the physical world. Our software is already operational with prominent clients, and now it is time to conquer the world. Do you want to help shape our success story?
Join our team as Computer Vision & Machine Learning Intern:
Your role...
Participate in cutting edge research in computer vision, artificial intelligence and machine learning applications
Develop solutions for real world, large scale problems
Your profile...
BSc/MSc in Computer Science, Artificial Intelligence, Machine Learning, Math or related technical field
Algorithmic background and rock-solid problem solving skills
Background in computer vision or machine learning
Solid coding experience in system components and experience in various software engineering systems
Passion for quality, performance and reliability
Excellent teamwork and communication skills
Availability of at least 6 months, interest in a fixed position preferred
Ideally you will also have...
Experience in deep learning & non linear optimization
What we offer...
An international, young and highly motivated team of start-up professionals
A fast-paced, dynamic and innovative working environment
The opportunity to strongly impact on the future of Advertima & to be transferred to a fixed position after 6 months
An organizational model that distributes power across peers
A workplace in the modern Y&R Coworking Space (ZH) and/or STARTFELD Innovation Hub (SG)
Flexible vacation policy
Self-development budget
Monthly team brunch
Competitive compensation
Phantom stock options
Hitachi Vantara, a wholly owned subsidiary of Hitachi, Ltd., helps data-driven leaders use the value in their data to innovate intelligently and reach outcomes that matter for business and society – what we call a double bottom line. Only Hitachi Vantara combines 100+ years of experience in operational technology (OT) and 60+ years in IT to unlock the power of data from your business, your people and your machines. We help enterprises store, enrich, activate and monetize data for better customer experiences, new revenue streams and lower business costs.
The Role
A customer-focused technical sales professional who leads the pre-sales effort by creating opportunities and partnering with the Account Manager to build a customer-centric sales value proposition. For the a few Enterprise customers, the remit is to establish a trusted relationship and strong understanding of the customer’s business, translating business needs into technical requirement and developing and presenting a technical vision, business case and physical solution specifically modelled for their customer.
The Solutions Consultant owns the technical customer relationship and leverages strong technical and interpersonal skills to lead technical discussions and apply advanced subject matter expertise, providing guidance on current market landscape and challenges, industry trends, and the Hitachi Vantara vision.
Solution Design: Interview prospects to determine business and technical requirements and determine a technical fit.
Custom Presentations: Create compelling customized presentations tailored to prospects’ use case and vertical.
Custom Demonstrations and Proofs-of-Concept: Hands-on development using the Pentaho platform and related technologies.
Product Expert: Conduct technical Q&A sessions and demonstrations around Hitachi Vantara product features, installation, configuration, and best practices.
Lead Evaluations: Design and scope focused evaluation plans that uniquely position Hitachi Vantara, are tied to prospect requirements, and prove out business value.
Teamwork: Collaborate with big data experts, data scientists, consultants in Hitachi Vantara to deliver advanced custom demonstrations, workshops, and POCs.
Continual Learning: A passion for learning new technologies as needed. Creative troubleshooting of issues that require solutions or innovative work-a-rounds
High Impact: Key stakeholder in collaboration with marketing, product management, engineering, and professional services across Hitachi Vantara.
Required Experience
Analytics Experience: 3+ years of experience in designing, implementing and supporting big data projects (e.g. Hadoop, NoSQL, Spark).
Sales Experience: 2+ years of presales experience supporting enterprise software sales cycles
Technology: Advanced big data implementation and java architecture experience as well as understanding of data integration and data warehousing.
Hands-on Hadoop experience
ETL, data warehousing, data engineering, data integration
Relational databases (e.g. Oracle, MySQL, PostgreSQL, generic SQL, JDBC
Java programming
BI Tools (e.g. Tableau, Qlik, MicroStrategy)
Security systems (e.g. LDAP, SSO, Kerberos)
Advanced analytics (e.g. R, Scala, Python, Weka, SAS)
Operating systems (e.g. Linux, Windows, shell scripting),
strong communication skills, fluent in German and English (written & spoken),
Education: B.A. or B.S. Degree from an accredited university (may substitute an Associate degree plus 4 additional years of experience).
We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
09/04/2019
Full time
Hitachi Vantara, a wholly owned subsidiary of Hitachi, Ltd., helps data-driven leaders use the value in their data to innovate intelligently and reach outcomes that matter for business and society – what we call a double bottom line. Only Hitachi Vantara combines 100+ years of experience in operational technology (OT) and 60+ years in IT to unlock the power of data from your business, your people and your machines. We help enterprises store, enrich, activate and monetize data for better customer experiences, new revenue streams and lower business costs.
The Role
A customer-focused technical sales professional who leads the pre-sales effort by creating opportunities and partnering with the Account Manager to build a customer-centric sales value proposition. For the a few Enterprise customers, the remit is to establish a trusted relationship and strong understanding of the customer’s business, translating business needs into technical requirement and developing and presenting a technical vision, business case and physical solution specifically modelled for their customer.
The Solutions Consultant owns the technical customer relationship and leverages strong technical and interpersonal skills to lead technical discussions and apply advanced subject matter expertise, providing guidance on current market landscape and challenges, industry trends, and the Hitachi Vantara vision.
Solution Design: Interview prospects to determine business and technical requirements and determine a technical fit.
Custom Presentations: Create compelling customized presentations tailored to prospects’ use case and vertical.
Custom Demonstrations and Proofs-of-Concept: Hands-on development using the Pentaho platform and related technologies.
Product Expert: Conduct technical Q&A sessions and demonstrations around Hitachi Vantara product features, installation, configuration, and best practices.
Lead Evaluations: Design and scope focused evaluation plans that uniquely position Hitachi Vantara, are tied to prospect requirements, and prove out business value.
Teamwork: Collaborate with big data experts, data scientists, consultants in Hitachi Vantara to deliver advanced custom demonstrations, workshops, and POCs.
Continual Learning: A passion for learning new technologies as needed. Creative troubleshooting of issues that require solutions or innovative work-a-rounds
High Impact: Key stakeholder in collaboration with marketing, product management, engineering, and professional services across Hitachi Vantara.
Required Experience
Analytics Experience: 3+ years of experience in designing, implementing and supporting big data projects (e.g. Hadoop, NoSQL, Spark).
Sales Experience: 2+ years of presales experience supporting enterprise software sales cycles
Technology: Advanced big data implementation and java architecture experience as well as understanding of data integration and data warehousing.
Hands-on Hadoop experience
ETL, data warehousing, data engineering, data integration
Relational databases (e.g. Oracle, MySQL, PostgreSQL, generic SQL, JDBC
Java programming
BI Tools (e.g. Tableau, Qlik, MicroStrategy)
Security systems (e.g. LDAP, SSO, Kerberos)
Advanced analytics (e.g. R, Scala, Python, Weka, SAS)
Operating systems (e.g. Linux, Windows, shell scripting),
strong communication skills, fluent in German and English (written & spoken),
Education: B.A. or B.S. Degree from an accredited university (may substitute an Associate degree plus 4 additional years of experience).
We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
One of our leading customers in Lausanne is looking for a highly skilled Data Scientist to join the team.
This business develops technology to revolutionize how investment decisions are made. By extracting information from data, they advise clients on how to invest and make the best decisions.
In this role, our customer needs someone who can work within modeling research, designing and validating models to transform data into actionable insights.
You would develop predictive statistical, machine learning and deep learning methods.
This position would also include managing the research process including methodology selection, data collection, modeling and analysis.
In order to apply for this position, you should have strong experience working as a Data Scientist; ideally with a focus on NLP and text mining.
Experience and knowledge in data analysis and statistical modeling techniques (machine learning, deep learning, signal processing) are also required.
Good skills in time series analysis and machine learning research are also important.
Technical experience needed included t-sql, hadoop, with programming skills in Python, Spark etc....
If you feel your experience matches the requirements well and you are keen to hear more, please apply and we'll arrange a call soon.
09/04/2019
Full time
One of our leading customers in Lausanne is looking for a highly skilled Data Scientist to join the team.
This business develops technology to revolutionize how investment decisions are made. By extracting information from data, they advise clients on how to invest and make the best decisions.
In this role, our customer needs someone who can work within modeling research, designing and validating models to transform data into actionable insights.
You would develop predictive statistical, machine learning and deep learning methods.
This position would also include managing the research process including methodology selection, data collection, modeling and analysis.
In order to apply for this position, you should have strong experience working as a Data Scientist; ideally with a focus on NLP and text mining.
Experience and knowledge in data analysis and statistical modeling techniques (machine learning, deep learning, signal processing) are also required.
Good skills in time series analysis and machine learning research are also important.
Technical experience needed included t-sql, hadoop, with programming skills in Python, Spark etc....
If you feel your experience matches the requirements well and you are keen to hear more, please apply and we'll arrange a call soon.
For our client, a globally operating and market-leading internet company, we are currently looking for a motivated and experienced Business Analyst.
Business Analyst
Your challenges
Strong background in data science, digital transformation, statistical analysis and machine learning that will help to shape end-to-end data-driven solutions in the context of data mining, data collection, data processing, data cleansing, ensuring data quality, data visualization and data analysis using machine learning, elicit, analyze and validate requirements.
Define and document the software requirements of the platform software project based on our client's product requirements.
Structure the software requirements to be implemented by software development, to allow the software requirements to be implemented by software development.
Support know-how transfer from initial product requirements to technical requirements.
Manage requirements, test cases and associated risks, including their status and traces in the requirements management system.
Your skills
Bachelor's degree or training/education in computer sciences and natural sciences
Have +5 years of experience in data processing and analysis, data science, data visualization, machine learning, requirements engineering / management, business analysis, business process modelling
Optional: Experience in Analytics Platforms offered by Salesforce, Microsoft, Tableau, ThoughtSpot or similar vendors
You are a data-oriented personality with great interpersonal skills
Focus on evidence-based learning or equivalent
Strong understanding with business representatives, development and V&V
Be flexible, have strong communication, problem solving and statistic skills
Have full proficiency in English
Your horizons
Show us what you're made of and we'll offer you lots in return! You have the chance to join a truly growth-embracing culture, which will commit to helping you grow personally and professionally. As part of your role, our client wants you to know that your refreshing input is of high value!
Your contact
Frau Kaja Tarnowska, Key Account Manager, looks forward to answer your questions by phone +41 58 233 4580.
You can apply directly online.
Please mention reference JN -032019-295190 in your application
01/04/2019
Full time
For our client, a globally operating and market-leading internet company, we are currently looking for a motivated and experienced Business Analyst.
Business Analyst
Your challenges
Strong background in data science, digital transformation, statistical analysis and machine learning that will help to shape end-to-end data-driven solutions in the context of data mining, data collection, data processing, data cleansing, ensuring data quality, data visualization and data analysis using machine learning, elicit, analyze and validate requirements.
Define and document the software requirements of the platform software project based on our client's product requirements.
Structure the software requirements to be implemented by software development, to allow the software requirements to be implemented by software development.
Support know-how transfer from initial product requirements to technical requirements.
Manage requirements, test cases and associated risks, including their status and traces in the requirements management system.
Your skills
Bachelor's degree or training/education in computer sciences and natural sciences
Have +5 years of experience in data processing and analysis, data science, data visualization, machine learning, requirements engineering / management, business analysis, business process modelling
Optional: Experience in Analytics Platforms offered by Salesforce, Microsoft, Tableau, ThoughtSpot or similar vendors
You are a data-oriented personality with great interpersonal skills
Focus on evidence-based learning or equivalent
Strong understanding with business representatives, development and V&V
Be flexible, have strong communication, problem solving and statistic skills
Have full proficiency in English
Your horizons
Show us what you're made of and we'll offer you lots in return! You have the chance to join a truly growth-embracing culture, which will commit to helping you grow personally and professionally. As part of your role, our client wants you to know that your refreshing input is of high value!
Your contact
Frau Kaja Tarnowska, Key Account Manager, looks forward to answer your questions by phone +41 58 233 4580.
You can apply directly online.
Please mention reference JN -032019-295190 in your application
CROSS is a consulting and engineering company, a subsidiary of the Micropole group, specializing in the fields of Digital Transformation , Performance Management and Data Governance . Present in French-speaking Switzerland since 1987, the 190 employees who compose it accompany its customers from strategic thinking to the implementation of the solution and its support.
In order to strengthen our teams, we are looking for one of our customers in Geneva a (e):
SENIOR DATA SCIENTIST / IA
MAIN ACTIVITIES
Engage with selected stakeholders to define the needs and business scenarios and offers different types of solutions and a phased approach to their implementation.
Evaluate and pre-process raw information as necessary; delve into data to discover discrepancies and matching patterns.
Collaborate with Business Analysts on the "Business" side to plan the development process on behalf of the Steering Committee: organize, conduct and report on all technical related activities.
Work with the data scientist and the project team to design, develop, test and deliver AI solutions / modules and evaluate the modules / solutions compatibility with the ICT platform, its applicability, availability and scalability.
Delivering data models and matching criteria / types of data capture and distribution of human rights operations, defining the type of data and the record keeping processes, and dealing with large scale datasets.
Design and build from scratch a hub query, based on various sources, and accessible to the business.
Collaborate with ICT teams to evaluate and implement required developments.
Present AI Proof of Concepts to the Business Team in the field of Data Science, including a study of the technologies and the way to industrialize the solution .
TECHNICAL SKILLS
7+ years of experience as a Data Scientist
Strong experience in data mining / analysis, data modeling / neuronal networking and data visualization / reporting methods and tools o Strong knowledge of statistics and data analytics (eg as SPSS, SAS, Excel or similar).
Proficient in algorithms / queries for global / elastic search implementation
Demonstrated experience in implementing systems leveraging Artificial Intelligence / Machine Learning technologies eg for text / image recognition, identification / authentication
Proficient in programming languages and environments such as MATLAB, R, Python or related languages
Excellent analytical and communication skills
Outstanding organizational and problem-solving aptitude
Strong experience in large-scale deployment processes
Master Degree in Operations Research, Computer Science, Statistics, Mathematics or a related field
LANGUAGES
Fluent French
Fluent in written and spoken English
Your personal qualities will make the difference: rigorous professional ethics, autonomy while having a team spirit, analytical and synthesis skills, listening, creativity, sense of service, sense of customer relationship, diplomacy, commitment ...
At CROSS, as well as your CV and the experience that you will put forward, we will be seduced by your personality, the place you give to human relations in the work and your desire to be involved in the company.
To summarize, you will understand, if your skills, your desire to grow with us and your personality match our business project, then there is a good chance that we go together! So, do not hesitate, come join us.
27/03/2019
Full time
CROSS is a consulting and engineering company, a subsidiary of the Micropole group, specializing in the fields of Digital Transformation , Performance Management and Data Governance . Present in French-speaking Switzerland since 1987, the 190 employees who compose it accompany its customers from strategic thinking to the implementation of the solution and its support.
In order to strengthen our teams, we are looking for one of our customers in Geneva a (e):
SENIOR DATA SCIENTIST / IA
MAIN ACTIVITIES
Engage with selected stakeholders to define the needs and business scenarios and offers different types of solutions and a phased approach to their implementation.
Evaluate and pre-process raw information as necessary; delve into data to discover discrepancies and matching patterns.
Collaborate with Business Analysts on the "Business" side to plan the development process on behalf of the Steering Committee: organize, conduct and report on all technical related activities.
Work with the data scientist and the project team to design, develop, test and deliver AI solutions / modules and evaluate the modules / solutions compatibility with the ICT platform, its applicability, availability and scalability.
Delivering data models and matching criteria / types of data capture and distribution of human rights operations, defining the type of data and the record keeping processes, and dealing with large scale datasets.
Design and build from scratch a hub query, based on various sources, and accessible to the business.
Collaborate with ICT teams to evaluate and implement required developments.
Present AI Proof of Concepts to the Business Team in the field of Data Science, including a study of the technologies and the way to industrialize the solution .
TECHNICAL SKILLS
7+ years of experience as a Data Scientist
Strong experience in data mining / analysis, data modeling / neuronal networking and data visualization / reporting methods and tools o Strong knowledge of statistics and data analytics (eg as SPSS, SAS, Excel or similar).
Proficient in algorithms / queries for global / elastic search implementation
Demonstrated experience in implementing systems leveraging Artificial Intelligence / Machine Learning technologies eg for text / image recognition, identification / authentication
Proficient in programming languages and environments such as MATLAB, R, Python or related languages
Excellent analytical and communication skills
Outstanding organizational and problem-solving aptitude
Strong experience in large-scale deployment processes
Master Degree in Operations Research, Computer Science, Statistics, Mathematics or a related field
LANGUAGES
Fluent French
Fluent in written and spoken English
Your personal qualities will make the difference: rigorous professional ethics, autonomy while having a team spirit, analytical and synthesis skills, listening, creativity, sense of service, sense of customer relationship, diplomacy, commitment ...
At CROSS, as well as your CV and the experience that you will put forward, we will be seduced by your personality, the place you give to human relations in the work and your desire to be involved in the company.
To summarize, you will understand, if your skills, your desire to grow with us and your personality match our business project, then there is a good chance that we go together! So, do not hesitate, come join us.
Introduction
Hours: 40
Salary: Competitive Nationwide has recently launched a new data strategy which will transform the way the Society thinks about, values and manages its data. As part of this new strategy the Data & Analytics Community, and more specifically, the Data Solutions team has a number of exciting new roles to help deliver on the promises of reducing the number of legacy data stores, simplifying the architectural landscape and treating data as a valued asset.
Who we're looking for
We are looking for experienced Data Solution Designers to join our Design Hub, to deliver data solutions, patterns and controls, and constructing data pipelines to deliver information to our business community. You’ll be able to operate a complex technical portfolio with multiple objectives, and you’ll have experience of working in a challenging fast paced environment to deliver at scale for our projects. You will have:
Advanced and proven technology design skills and capabilities for data lake and data warehouses design
Good stakeholder management and engagement skills
Experience communicating and influencing peers and management
The ability to react with pace to manage changing demand
Experience of different delivery methodologies – Waterfall, Agile, DevOps
Experience in task management
You will have the experience in the following areas:
Designing patterns and techniques for data lake and data warehouse on hybrid cloud and on-premise architectures
Hadoop big data appliances, (Hive, HDFS, Scala, Spark, NIFI)
Using Informatica and Teradata
Knowledge of ETL frameworks
Understanding of end-to-end IM environments
Data modelling
Data mapping
Up to date with emerging technologies and trends, and awareness of open source tooling for big data
Worked in and knowledge of the finance sector
Proven leadership, mentoring and recruitment experience.
What you'll be doing
Reporting to the Design Hub Lead, you will be delivering project designs for our new information management solution, and managing reusable design and code specific patterns. Working with the Architecture, Design and Data Engineering teams, you’ll be ensuring technology best practice and ensuring the platform remains relevant and up to date whilst delivering change at pace. Apply now
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23%
Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to an annual performance related bonus scheme
Interested?
You can apply via the ''Apply now'' button.
25/03/2019
Full time
Introduction
Hours: 40
Salary: Competitive Nationwide has recently launched a new data strategy which will transform the way the Society thinks about, values and manages its data. As part of this new strategy the Data & Analytics Community, and more specifically, the Data Solutions team has a number of exciting new roles to help deliver on the promises of reducing the number of legacy data stores, simplifying the architectural landscape and treating data as a valued asset.
Who we're looking for
We are looking for experienced Data Solution Designers to join our Design Hub, to deliver data solutions, patterns and controls, and constructing data pipelines to deliver information to our business community. You’ll be able to operate a complex technical portfolio with multiple objectives, and you’ll have experience of working in a challenging fast paced environment to deliver at scale for our projects. You will have:
Advanced and proven technology design skills and capabilities for data lake and data warehouses design
Good stakeholder management and engagement skills
Experience communicating and influencing peers and management
The ability to react with pace to manage changing demand
Experience of different delivery methodologies – Waterfall, Agile, DevOps
Experience in task management
You will have the experience in the following areas:
Designing patterns and techniques for data lake and data warehouse on hybrid cloud and on-premise architectures
Hadoop big data appliances, (Hive, HDFS, Scala, Spark, NIFI)
Using Informatica and Teradata
Knowledge of ETL frameworks
Understanding of end-to-end IM environments
Data modelling
Data mapping
Up to date with emerging technologies and trends, and awareness of open source tooling for big data
Worked in and knowledge of the finance sector
Proven leadership, mentoring and recruitment experience.
What you'll be doing
Reporting to the Design Hub Lead, you will be delivering project designs for our new information management solution, and managing reusable design and code specific patterns. Working with the Architecture, Design and Data Engineering teams, you’ll be ensuring technology best practice and ensuring the platform remains relevant and up to date whilst delivering change at pace. Apply now
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23%
Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to an annual performance related bonus scheme
Interested?
You can apply via the ''Apply now'' button.
Introduction
Hours: 40
Up to £73,436 a year on a permanent 35-hour per week contract
Send in your application by 31st March 2019
Nationwide has recently launched a new data strategy which will transform the way the Society thinks about, values and manages its data. As part of this new strategy the data & analytics community, and more specifically, the data solutions team has a number of exciting new roles to help deliver on the promises of reducing the number of legacy data stores, simplifying the architectural landscape and treating data as a valued asset. This role will focus on delivering reporting and analytical solutions onto the society’s enterprise data platform (Hadoop big data ecosystem and Teradata appliance) in support of both small Agile and larger scale project and user delivery. Combining responsibilities for technical delivery alongside continuous improvement, innovation and automation, this exciting new role will provide the opportunity to work with some cutting-edge technologies.
What you'll be doing
Reporting to a Snr Data Engineer, you will form a key part of a team of engineers responsible for the implementation of data solutions onto the new IM estate in support of our strategy objective of simplifying our data landscape and delivery of insight and innovation. Working directly with business and IT stakeholders you will help to deliver best practice, innovation and automation in the industrialisation of complex strategic IT initiatives alongside smaller user driven demand. You will bring a high level of motivation and innovation to the team, always looking for ways to expand your own skill set and searching for ways to do things better, quicker & cheaper.
Who we're looking for
As a minimum requirement you’ll:
Have at least 1 years’ experience of data lake and/or data warehouse delivery with:
Either, experience in the Hadoop big data platform and a broad range of associated technologies, such as Python, R, Spark, HIVE, Scala
Or, experience in data warehouse delivery, ideally with a mix of Informatica and/or Teradata technologies
Be a technical innovator with a curious mindset and a thirst for knowledge and be able to demonstrate a drive for continual improvement
Be a strong team player who enjoys and thrives on collaboration across colleagues and teams
Have excellent stakeholder management and influencing skills
It would be nice if you also had:
Experience of working in an Agile environment using SCRUM/Kanban
Hands-on experience of working within a DevOps environment with tooling such as Jenkins, Docker, Cucumber etc
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23%
Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to a Healthcare scheme
Access to an annual performance related bonus scheme
Interested?
Please apply via the 'Apply now' button.
25/03/2019
Full time
Introduction
Hours: 40
Up to £73,436 a year on a permanent 35-hour per week contract
Send in your application by 31st March 2019
Nationwide has recently launched a new data strategy which will transform the way the Society thinks about, values and manages its data. As part of this new strategy the data & analytics community, and more specifically, the data solutions team has a number of exciting new roles to help deliver on the promises of reducing the number of legacy data stores, simplifying the architectural landscape and treating data as a valued asset. This role will focus on delivering reporting and analytical solutions onto the society’s enterprise data platform (Hadoop big data ecosystem and Teradata appliance) in support of both small Agile and larger scale project and user delivery. Combining responsibilities for technical delivery alongside continuous improvement, innovation and automation, this exciting new role will provide the opportunity to work with some cutting-edge technologies.
What you'll be doing
Reporting to a Snr Data Engineer, you will form a key part of a team of engineers responsible for the implementation of data solutions onto the new IM estate in support of our strategy objective of simplifying our data landscape and delivery of insight and innovation. Working directly with business and IT stakeholders you will help to deliver best practice, innovation and automation in the industrialisation of complex strategic IT initiatives alongside smaller user driven demand. You will bring a high level of motivation and innovation to the team, always looking for ways to expand your own skill set and searching for ways to do things better, quicker & cheaper.
Who we're looking for
As a minimum requirement you’ll:
Have at least 1 years’ experience of data lake and/or data warehouse delivery with:
Either, experience in the Hadoop big data platform and a broad range of associated technologies, such as Python, R, Spark, HIVE, Scala
Or, experience in data warehouse delivery, ideally with a mix of Informatica and/or Teradata technologies
Be a technical innovator with a curious mindset and a thirst for knowledge and be able to demonstrate a drive for continual improvement
Be a strong team player who enjoys and thrives on collaboration across colleagues and teams
Have excellent stakeholder management and influencing skills
It would be nice if you also had:
Experience of working in an Agile environment using SCRUM/Kanban
Hands-on experience of working within a DevOps environment with tooling such as Jenkins, Docker, Cucumber etc
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23%
Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to a Healthcare scheme
Access to an annual performance related bonus scheme
Interested?
Please apply via the 'Apply now' button.
Hitachi Vantara, a wholly owned subsidiary of Hitachi, Ltd., helps data-driven leaders use the value in their data to innovate intelligently and reach outcomes that matter for business and society – what we call a double bottom line. Only Hitachi Vantara combines 100+ years of experience in operational technology (OT) and 60+ years in IT to unlock the power of data from your business, your people and your machines. We help enterprises store, enrich, activate and monetize data for better customer experiences, new revenue streams and lower business costs.
The Role
A customer-focused technical sales professional who leads the pre-sales effort by creating opportunities and partnering with the Account Manager to build a customer-centric sales value proposition. For the a few Enterprise customers, the remit is to establish a trusted relationship and strong understanding of the customer’s business, translating business needs into technical requirement and developing and presenting a technical vision, business case and physical solution specifically modelled for their customer.
The Solutions Consultant owns the technical customer relationship and leverages strong technical and interpersonal skills to lead technical discussions and apply advanced subject matter expertise, providing guidance on current market landscape and challenges, industry trends, and the Hitachi Vantara vision.
Solution Design: Interview prospects to determine business and technical requirements and determine a technical fit.
Custom Presentations: Create compelling customized presentations tailored to prospects’ use case and vertical.
Custom Demonstrations and Proofs-of-Concept: Hands-on development using the Pentaho platform and related technologies.
Product Expert: Conduct technical Q&A sessions and demonstrations around Hitachi Vantara product features, installation, configuration, and best practices.
Lead Evaluations: Design and scope focused evaluation plans that uniquely position Hitachi Vantara, are tied to prospect requirements, and prove out business value.
Teamwork: Collaborate with big data experts, data scientists, consultants in Hitachi Vantara to deliver advanced custom demonstrations, workshops, and POCs.
Continual Learning: A passion for learning new technologies as needed. Creative troubleshooting of issues that require solutions or innovative work-a-rounds
High Impact: Key stakeholder in collaboration with marketing, product management, engineering, and professional services across Hitachi Vantara.
Required Experience
Analytics Experience: 3+ years of experience in designing, implementing and supporting big data projects (e.g. Hadoop, NoSQL, Spark).
Sales Experience: 2+ years of presales experience supporting enterprise software sales cycles
Technology: Advanced big data implementation and java architecture experience as well as understanding of data integration and data warehousing.
Hands-on Hadoop experience
ETL, data warehousing, data engineering, data integration
Relational databases (e.g. Oracle, MySQL, PostgreSQL, generic SQL, JDBC
Java programming
BI Tools (e.g. Tableau, Qlik, MicroStrategy)
Security systems (e.g. LDAP, SSO, Kerberos)
Advanced analytics (e.g. R, Scala, Python, Weka, SAS)
Operating systems (e.g. Linux, Windows, shell scripting),
strong communication skills, fluent in German and English (written & spoken),
Education: B.A. or B.S. Degree from an accredited university (may substitute an Associate degree plus 4 additional years of experience).
We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
25/03/2019
Full time
Hitachi Vantara, a wholly owned subsidiary of Hitachi, Ltd., helps data-driven leaders use the value in their data to innovate intelligently and reach outcomes that matter for business and society – what we call a double bottom line. Only Hitachi Vantara combines 100+ years of experience in operational technology (OT) and 60+ years in IT to unlock the power of data from your business, your people and your machines. We help enterprises store, enrich, activate and monetize data for better customer experiences, new revenue streams and lower business costs.
The Role
A customer-focused technical sales professional who leads the pre-sales effort by creating opportunities and partnering with the Account Manager to build a customer-centric sales value proposition. For the a few Enterprise customers, the remit is to establish a trusted relationship and strong understanding of the customer’s business, translating business needs into technical requirement and developing and presenting a technical vision, business case and physical solution specifically modelled for their customer.
The Solutions Consultant owns the technical customer relationship and leverages strong technical and interpersonal skills to lead technical discussions and apply advanced subject matter expertise, providing guidance on current market landscape and challenges, industry trends, and the Hitachi Vantara vision.
Solution Design: Interview prospects to determine business and technical requirements and determine a technical fit.
Custom Presentations: Create compelling customized presentations tailored to prospects’ use case and vertical.
Custom Demonstrations and Proofs-of-Concept: Hands-on development using the Pentaho platform and related technologies.
Product Expert: Conduct technical Q&A sessions and demonstrations around Hitachi Vantara product features, installation, configuration, and best practices.
Lead Evaluations: Design and scope focused evaluation plans that uniquely position Hitachi Vantara, are tied to prospect requirements, and prove out business value.
Teamwork: Collaborate with big data experts, data scientists, consultants in Hitachi Vantara to deliver advanced custom demonstrations, workshops, and POCs.
Continual Learning: A passion for learning new technologies as needed. Creative troubleshooting of issues that require solutions or innovative work-a-rounds
High Impact: Key stakeholder in collaboration with marketing, product management, engineering, and professional services across Hitachi Vantara.
Required Experience
Analytics Experience: 3+ years of experience in designing, implementing and supporting big data projects (e.g. Hadoop, NoSQL, Spark).
Sales Experience: 2+ years of presales experience supporting enterprise software sales cycles
Technology: Advanced big data implementation and java architecture experience as well as understanding of data integration and data warehousing.
Hands-on Hadoop experience
ETL, data warehousing, data engineering, data integration
Relational databases (e.g. Oracle, MySQL, PostgreSQL, generic SQL, JDBC
Java programming
BI Tools (e.g. Tableau, Qlik, MicroStrategy)
Security systems (e.g. LDAP, SSO, Kerberos)
Advanced analytics (e.g. R, Scala, Python, Weka, SAS)
Operating systems (e.g. Linux, Windows, shell scripting),
strong communication skills, fluent in German and English (written & spoken),
Education: B.A. or B.S. Degree from an accredited university (may substitute an Associate degree plus 4 additional years of experience).
We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Introduction
Hours: 40
Up to £73,436 a year dependent on experience
Permanent 35-hour per week contract
Combining accountabilities for delivery, continuous improvement and building an in-house capability, this exciting new role means you’ll work with cutting-edge technologies and industry leading vendors, as well as helping to drive our strategy. Your initial focus will be on delivering, embedding and evolving a DevOps toolchain to underpin and accelerate our Agile approach to data solutions delivery.
What you'll be doing
Reporting to the Senior Manager Data Engineering, you will lead the setup of a DevOps capability in the Data Solutions team, delivering efficient data pipelines, driving the adoption of data automation and working to make the delivery teams more efficient. Linking the data engineers and data operations team you will be helping to implement a DevOps toolchain helping to drive efficient code management, test automation and deployment velocity onto both the Hadoop data lake and the Teradata enterprise warehouse. Working with our designers and engineers, you will be looking continuously for further ways to adopt automation and improve efficiency in ways of working in order to reduce costs and increase pace. In essence, you will be working as part of the team to “create the machine that builds the machine”.
Who we're looking for
In addition to an inquisitive mindset and a passion for innovation, you will also:
Have significant experience of working within a DevOps environment utilising a range of commercial and open source tools, with any exposure to Jira, TFS, UFT, Selenium and Jenkins a bonus
Have a background in data engineering or operational support, again within a data domain
Be experienced in driving both innovation and automation
Have a good understanding and ideally some experience in the Hadoop big data appliance and a broad range of associated technologies, such as Python, R, Spark, HIVE, Scala
Be a strong leader with a deep technical understanding as you will be required to set up and lead a team of engineers alongside setting strategy
Have excellent stakeholder management and influencing skills
It would be nice if you also had:
Hands-on experience of commercial ETL tooling, such as Informatica, Ab Initio or DataStage
Experience of appliance databases, such as Teradata
Have worked in the financial sector for part of your career to date
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So, if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23% • Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to an annual performance related bonus scheme
Interested?
Please apply by using the 'Apply now' button. No recruitment agencies please.
22/03/2019
Full time
Introduction
Hours: 40
Up to £73,436 a year dependent on experience
Permanent 35-hour per week contract
Combining accountabilities for delivery, continuous improvement and building an in-house capability, this exciting new role means you’ll work with cutting-edge technologies and industry leading vendors, as well as helping to drive our strategy. Your initial focus will be on delivering, embedding and evolving a DevOps toolchain to underpin and accelerate our Agile approach to data solutions delivery.
What you'll be doing
Reporting to the Senior Manager Data Engineering, you will lead the setup of a DevOps capability in the Data Solutions team, delivering efficient data pipelines, driving the adoption of data automation and working to make the delivery teams more efficient. Linking the data engineers and data operations team you will be helping to implement a DevOps toolchain helping to drive efficient code management, test automation and deployment velocity onto both the Hadoop data lake and the Teradata enterprise warehouse. Working with our designers and engineers, you will be looking continuously for further ways to adopt automation and improve efficiency in ways of working in order to reduce costs and increase pace. In essence, you will be working as part of the team to “create the machine that builds the machine”.
Who we're looking for
In addition to an inquisitive mindset and a passion for innovation, you will also:
Have significant experience of working within a DevOps environment utilising a range of commercial and open source tools, with any exposure to Jira, TFS, UFT, Selenium and Jenkins a bonus
Have a background in data engineering or operational support, again within a data domain
Be experienced in driving both innovation and automation
Have a good understanding and ideally some experience in the Hadoop big data appliance and a broad range of associated technologies, such as Python, R, Spark, HIVE, Scala
Be a strong leader with a deep technical understanding as you will be required to set up and lead a team of engineers alongside setting strategy
Have excellent stakeholder management and influencing skills
It would be nice if you also had:
Hands-on experience of commercial ETL tooling, such as Informatica, Ab Initio or DataStage
Experience of appliance databases, such as Teradata
Have worked in the financial sector for part of your career to date
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So, if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23% • Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to an annual performance related bonus scheme
Interested?
Please apply by using the 'Apply now' button. No recruitment agencies please.
Pour notre partenaire actif dans le domaine de la recherche dans le canton de Berne, nous recherchons un:
Data Manager
Votre défi
Enant que Data Manager vous analysis et visualisez les données et vous proposez la stratégie scientifique dans le domaine. En effet vous réalisez une première analysis of the existing données, vous harmonisez et reliez les données avec des bases des données, vous rédigez of the analysis and et pub publiez les résultats. De plus vous contribuez activement à l'amélioration de la qualité des données et vous participez aux projets informatiques.
Vos compétences
Master or PhD in Science of Surveying, Statistiques ou un autre domain de l'analysis computationnelle des données
Expérience dans l'analyze des données
Excellent connaissances de programmation R
Connaissances approfondies des logiciels visualization of données (ggplot2, Shiny, D3.js, etc.) et de SQL
Connaissances en machine learning
Expérience avec les indicateurs et les données bibliométrique
Expérience avec les méthodologies Agile
Excellent connaissances du français et bonnes connaissances de l'allemand (ou inversement) et de l'anglais à l'oral et à l'écrit
Vos perspectives
Ce challenge vous intéresse? N'hésitez pas à me contacter adina.moraru@springprofessional.ch ou à postuler directement au poste via le lien indiqué sur l'annonce.
Votre contact
Mme Adina Moraru, Consultant Retail, répond à toutes vos questions au Tel. +41 58 233 2708 or e mail .
Vous pouvez postuler en ligne, ou par eMail . Merci de préciser la référence JN -012019-294597
20/03/2019
Full time
Pour notre partenaire actif dans le domaine de la recherche dans le canton de Berne, nous recherchons un:
Data Manager
Votre défi
Enant que Data Manager vous analysis et visualisez les données et vous proposez la stratégie scientifique dans le domaine. En effet vous réalisez une première analysis of the existing données, vous harmonisez et reliez les données avec des bases des données, vous rédigez of the analysis and et pub publiez les résultats. De plus vous contribuez activement à l'amélioration de la qualité des données et vous participez aux projets informatiques.
Vos compétences
Master or PhD in Science of Surveying, Statistiques ou un autre domain de l'analysis computationnelle des données
Expérience dans l'analyze des données
Excellent connaissances de programmation R
Connaissances approfondies des logiciels visualization of données (ggplot2, Shiny, D3.js, etc.) et de SQL
Connaissances en machine learning
Expérience avec les indicateurs et les données bibliométrique
Expérience avec les méthodologies Agile
Excellent connaissances du français et bonnes connaissances de l'allemand (ou inversement) et de l'anglais à l'oral et à l'écrit
Vos perspectives
Ce challenge vous intéresse? N'hésitez pas à me contacter adina.moraru@springprofessional.ch ou à postuler directement au poste via le lien indiqué sur l'annonce.
Votre contact
Mme Adina Moraru, Consultant Retail, répond à toutes vos questions au Tel. +41 58 233 2708 or e mail .
Vous pouvez postuler en ligne, ou par eMail . Merci de préciser la référence JN -012019-294597
For our locations in Lausanne, Geneva, Bern and Zürich, we are looking for an experienced Senior Data Scientist .
In order to further strengthen our Data Science team, we offer a diversified and interesting job to a person with motivation, initiative and good sense of service quality provided to our customers.
In this role
Be part of a consultants’ team to deliver services, mandates and or projects related to NLP and Data Science :
In your role as a senior consultant, you will design and implement NLP and other Data Science solutions for our customers
You will support the acquisition of new client projects, for example by preparing offers or holding client presentations,
You will contribute to elaborate and lead specific Value Propositions around NLP or other Data Science applications,
You will participate to continuously watch the market and technical evolution around NLP solutions.
You will actively participate to knowledge and experience sharing meetings with the team and the rest of the ELCA group
What we offer
A key role in a multidisciplinary service company, a leader in Switzerland in the field of new technologies
A pleasant working environment in a young and motivated team
Coaching by our Data Science lead experts and managers
Attractive development opportunities in various technological fields with further responsibilities
A wide range of exciting and interesting projects in various fields of activity
About your profile
For this vacancy we expect a candidate with an academic degree of a university, university of applied sciences or technical college with at least three to five years’ hands-on experience in the implementation of NLP solutions
Experience in machine learning models
Experience in information extraction
Experience in NLP applications such as dialogue systems and text classification
Flexibility to travel around Switzerland
Other skills:
Flexibility to travel around Switzerland
Good presentation and redaction skills
Speaking german is a strong plus
Your strengths include an efficient style of working both autonomous and in a team, a distinct customer focus and very good communication skills.
If you are interested in applying for this position, please send us your complete application (CV, cover letter, letter of reference, diplomas and certificates).
If you are INTERESTED in applying for this position, please send us your complete application (CV, cover letter, letter of reference, diplomas and certificates).
19/03/2019
Full time
For our locations in Lausanne, Geneva, Bern and Zürich, we are looking for an experienced Senior Data Scientist .
In order to further strengthen our Data Science team, we offer a diversified and interesting job to a person with motivation, initiative and good sense of service quality provided to our customers.
In this role
Be part of a consultants’ team to deliver services, mandates and or projects related to NLP and Data Science :
In your role as a senior consultant, you will design and implement NLP and other Data Science solutions for our customers
You will support the acquisition of new client projects, for example by preparing offers or holding client presentations,
You will contribute to elaborate and lead specific Value Propositions around NLP or other Data Science applications,
You will participate to continuously watch the market and technical evolution around NLP solutions.
You will actively participate to knowledge and experience sharing meetings with the team and the rest of the ELCA group
What we offer
A key role in a multidisciplinary service company, a leader in Switzerland in the field of new technologies
A pleasant working environment in a young and motivated team
Coaching by our Data Science lead experts and managers
Attractive development opportunities in various technological fields with further responsibilities
A wide range of exciting and interesting projects in various fields of activity
About your profile
For this vacancy we expect a candidate with an academic degree of a university, university of applied sciences or technical college with at least three to five years’ hands-on experience in the implementation of NLP solutions
Experience in machine learning models
Experience in information extraction
Experience in NLP applications such as dialogue systems and text classification
Flexibility to travel around Switzerland
Other skills:
Flexibility to travel around Switzerland
Good presentation and redaction skills
Speaking german is a strong plus
Your strengths include an efficient style of working both autonomous and in a team, a distinct customer focus and very good communication skills.
If you are interested in applying for this position, please send us your complete application (CV, cover letter, letter of reference, diplomas and certificates).
If you are INTERESTED in applying for this position, please send us your complete application (CV, cover letter, letter of reference, diplomas and certificates).
Logitech is transforming into a connected company, where devices and cloud services work hand in hand to create new user experiences.
You will be a Data Engineer within the CTO Office, a transversal organisation developing a common data platform, enabling big data / internet of things analytics and other advanced technologies such as Machine Learning for Logitech’s Business Groups. We will be leveraging public clouds, like AWS, Azure, and GCP, as well as tools like Apache Spark, Snowflake, D3.js and Tableau. We will be developing the worldwide infrastructure and operational best practices serving several millions of customers and devices. Due to the nature of the CTO office team, this is a challenging role that requires being able to anticipate business needs and focus on business success, as well as strong technical skills, willingness to experiment with technology, and ability to deliver on multiple projects under pressure.
Your Contribution:
Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and Do. These are the behaviors you’ll need for success at Logitech. In this role you will:
Develop and maintain ETL flows for loading data into the warehouse from the systems collecting data from devices
Work with engineering teams and business users to define data schemas for device event data stored in a common data warehouse
Define and manage views in the warehouse to meet the requirements of data scientists using platforms like Spark and business users using visualization tools like Tableau
Work with data scientists to productize analytics and data models, developing new ETL flows for new applications driven by model-based analytics
As business needs grow, develop and maintain data stream processing workflows for device event data, supporting the needs of business users for up-to-date information and customer-facing services
Your Skills:
For consideration, you must bring the following skills and behaviors to our team:
2 years of relevant work experience in, building pipelines for conventional, unstructured, streaming or big data sets using tools like Spark, Flink or Hadoop.
Programming proficiency in at least one major language (Python, Scala or Java)
Experience building fault tolerant distributed systems
Strong problem solving skills
Good presentation skills
Fluent in English
DESIRED SKILLS
A CONCEPTUAL UNDERSTANDING OF DATA SCIENCE AND MACHINE LEARNING APPLICATIONS LIKE RECOMMENDER SYSTEMS, CLASSIFICATION, PREDICTIVE MODELING AND CLUSTERING.
Familiarity with consumer oriented analytic techniques like segmentation and user profiling.
Understanding of parallelized data ingestion techniques (not essential but useful)
Pragmatic attitude and ability to rapidly iterate and evolve ideas into products
Experience assessing and anticipating business needs and focusing on delivering business-relevant results
Desire to collaborate in a team of researchers, data scientists and software developers.
EDUCATION
MSC DEGREE IN COMPUTER SCIENCE, DATA SCIENCE, MACHINE LEARNING OR RELATED TECHNICAL FIELD OR EQUIVALENT PRACTICAL EXPERIENCE.
Logitech is the sweet spot for people who are passionate about products, making a mark, and having fun doing it. As a company, we’re small and flexible enough for every person to take initiative and make things happen. But we’re big enough in our portfolio, and reach, for those actions to have a global impact. That’s a pretty sweet spot to be in and we’re always striving to keep it that way.
“ All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, Veteran status, or on the basis of disability.”
14/03/2019
Full time
Logitech is transforming into a connected company, where devices and cloud services work hand in hand to create new user experiences.
You will be a Data Engineer within the CTO Office, a transversal organisation developing a common data platform, enabling big data / internet of things analytics and other advanced technologies such as Machine Learning for Logitech’s Business Groups. We will be leveraging public clouds, like AWS, Azure, and GCP, as well as tools like Apache Spark, Snowflake, D3.js and Tableau. We will be developing the worldwide infrastructure and operational best practices serving several millions of customers and devices. Due to the nature of the CTO office team, this is a challenging role that requires being able to anticipate business needs and focus on business success, as well as strong technical skills, willingness to experiment with technology, and ability to deliver on multiple projects under pressure.
Your Contribution:
Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and Do. These are the behaviors you’ll need for success at Logitech. In this role you will:
Develop and maintain ETL flows for loading data into the warehouse from the systems collecting data from devices
Work with engineering teams and business users to define data schemas for device event data stored in a common data warehouse
Define and manage views in the warehouse to meet the requirements of data scientists using platforms like Spark and business users using visualization tools like Tableau
Work with data scientists to productize analytics and data models, developing new ETL flows for new applications driven by model-based analytics
As business needs grow, develop and maintain data stream processing workflows for device event data, supporting the needs of business users for up-to-date information and customer-facing services
Your Skills:
For consideration, you must bring the following skills and behaviors to our team:
2 years of relevant work experience in, building pipelines for conventional, unstructured, streaming or big data sets using tools like Spark, Flink or Hadoop.
Programming proficiency in at least one major language (Python, Scala or Java)
Experience building fault tolerant distributed systems
Strong problem solving skills
Good presentation skills
Fluent in English
DESIRED SKILLS
A CONCEPTUAL UNDERSTANDING OF DATA SCIENCE AND MACHINE LEARNING APPLICATIONS LIKE RECOMMENDER SYSTEMS, CLASSIFICATION, PREDICTIVE MODELING AND CLUSTERING.
Familiarity with consumer oriented analytic techniques like segmentation and user profiling.
Understanding of parallelized data ingestion techniques (not essential but useful)
Pragmatic attitude and ability to rapidly iterate and evolve ideas into products
Experience assessing and anticipating business needs and focusing on delivering business-relevant results
Desire to collaborate in a team of researchers, data scientists and software developers.
EDUCATION
MSC DEGREE IN COMPUTER SCIENCE, DATA SCIENCE, MACHINE LEARNING OR RELATED TECHNICAL FIELD OR EQUIVALENT PRACTICAL EXPERIENCE.
Logitech is the sweet spot for people who are passionate about products, making a mark, and having fun doing it. As a company, we’re small and flexible enough for every person to take initiative and make things happen. But we’re big enough in our portfolio, and reach, for those actions to have a global impact. That’s a pretty sweet spot to be in and we’re always striving to keep it that way.
“ All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, Veteran status, or on the basis of disability.”
Currently we are looking for a Business Analyst with Data Science for our Risch-Rotkreuz office to make the team even stronger.
We are seeking a Requirements Engineer/Business Analyst with strong background in digital transformation, data science, statistical analysis, and machine learning that will help us to shape end-to-end data-driven solutions.
So, essentially a strong motivation is needed to learn new things and comply to our internal processes.
RESPONSIBILITIES
Elicit, analyze, specify, and validate requirements in the context of data mining, data collection, data processing, data cleansing, ensuring data quality, data visualization, and data analysis using machine learning
Modell data-driven business processes
Author initial/product requirements documents
Manage changes to initial/product requirements
Manage vertical traceability between different levels of requirements
Support know-how transfer from initial/product requirements to technical requirements
Review technical requirements documents
Manage requirements, test cases, and associated risks, including their status and traces, in the requirements management system (i.e., HP Application Lifecycle Management)
Review test documents
REQUIREMENTS
Great interpersonal, communication and presentation skills
Strong analytical and problem-solving skills
Data-oriented personality
Ability to see the big picture
Easily adaptable and flexible to changing situations
Self-motivated with passion for delivering compelling solutions that exceed expectations
Experienced 5 +year’s in data processing and analysis
Experienced 5 +year’s in data science
Experienced 5 +year’s in data visualization
Experienced 5 +year’s in machine learning
Experienced 5 +year’s in the pharmaceutical/diagnostically
Experienced 5 +year’s in requirements engineering/management and business analysis
Experienced 5 +year’s in business process modelling
Experienced 5 +year’s in creating common understanding, incl. business representatives, development, V&V
Good applied statistics skills
Fast learner
Fluent verbal and written English, German is nice to have
Bachelor’s degree or equivalent education
Education/training in Computer Sciences, focus on evidence-based learning or equivalent
Education/training in Natural Sciences experience
Experienced in Analytics Platforms offered by Salesforce, Microsoft, Tableau, ThoughtSpot or similar vendors is nice to have
WE OFFER
Experience exchange with colleagues all around the world
Competitive compensation depending on experience and skills
Regular assessments and salary reviews
Develop integration modules for interacting with new systems and applications
Opportunities for self-realization
Friendly team and enjoyable working environment
Corporate and social events
Please note that any offers will be subject to appropriate background checks
We do not accept CV from recruiting or staffing agencies
25/02/2019
Full time
Currently we are looking for a Business Analyst with Data Science for our Risch-Rotkreuz office to make the team even stronger.
We are seeking a Requirements Engineer/Business Analyst with strong background in digital transformation, data science, statistical analysis, and machine learning that will help us to shape end-to-end data-driven solutions.
So, essentially a strong motivation is needed to learn new things and comply to our internal processes.
RESPONSIBILITIES
Elicit, analyze, specify, and validate requirements in the context of data mining, data collection, data processing, data cleansing, ensuring data quality, data visualization, and data analysis using machine learning
Modell data-driven business processes
Author initial/product requirements documents
Manage changes to initial/product requirements
Manage vertical traceability between different levels of requirements
Support know-how transfer from initial/product requirements to technical requirements
Review technical requirements documents
Manage requirements, test cases, and associated risks, including their status and traces, in the requirements management system (i.e., HP Application Lifecycle Management)
Review test documents
REQUIREMENTS
Great interpersonal, communication and presentation skills
Strong analytical and problem-solving skills
Data-oriented personality
Ability to see the big picture
Easily adaptable and flexible to changing situations
Self-motivated with passion for delivering compelling solutions that exceed expectations
Experienced 5 +year’s in data processing and analysis
Experienced 5 +year’s in data science
Experienced 5 +year’s in data visualization
Experienced 5 +year’s in machine learning
Experienced 5 +year’s in the pharmaceutical/diagnostically
Experienced 5 +year’s in requirements engineering/management and business analysis
Experienced 5 +year’s in business process modelling
Experienced 5 +year’s in creating common understanding, incl. business representatives, development, V&V
Good applied statistics skills
Fast learner
Fluent verbal and written English, German is nice to have
Bachelor’s degree or equivalent education
Education/training in Computer Sciences, focus on evidence-based learning or equivalent
Education/training in Natural Sciences experience
Experienced in Analytics Platforms offered by Salesforce, Microsoft, Tableau, ThoughtSpot or similar vendors is nice to have
WE OFFER
Experience exchange with colleagues all around the world
Competitive compensation depending on experience and skills
Regular assessments and salary reviews
Develop integration modules for interacting with new systems and applications
Opportunities for self-realization
Friendly team and enjoyable working environment
Corporate and social events
Please note that any offers will be subject to appropriate background checks
We do not accept CV from recruiting or staffing agencies
One of our leading Swiss customers in the banking industry is looking to develop their data team with two new Data Scientists with a focus on analytics and engineering.
In this role, you would be responsible for the consolidation and prioritisation of the data requirements in regards to the integration, management and transformation of the banks' data.
You would be responsible for developing the data processing systems as well as analysing complex data sets.
In this position, you would also work on the development and maintenance of machine learning models; working alongside the IT department.
Our customer is ideally looking for someone who has good experience working as a Data Scientist / Analyst. It would be ideal if this experience was working in the financial industry and especially in an analytical business.
Strong programming experience in Python and/or R is important, as well as ETL and SQL knowledge.
If you are interested in this position and would like the to chance to help develop a new Data Science team, please apply as soon as possible and we'll arrange a call.
25/02/2019
Full time
One of our leading Swiss customers in the banking industry is looking to develop their data team with two new Data Scientists with a focus on analytics and engineering.
In this role, you would be responsible for the consolidation and prioritisation of the data requirements in regards to the integration, management and transformation of the banks' data.
You would be responsible for developing the data processing systems as well as analysing complex data sets.
In this position, you would also work on the development and maintenance of machine learning models; working alongside the IT department.
Our customer is ideally looking for someone who has good experience working as a Data Scientist / Analyst. It would be ideal if this experience was working in the financial industry and especially in an analytical business.
Strong programming experience in Python and/or R is important, as well as ETL and SQL knowledge.
If you are interested in this position and would like the to chance to help develop a new Data Science team, please apply as soon as possible and we'll arrange a call.
