57 Data Analytics jobs

Most wanted: versatile, ambitious engineer hungry to push the limits of artificial intelligence. Onedot has been built because we believe that data should be made consumable across sources and organisations. We offer a dynamic, flexible and inspiring work environment with lots of room for personal growth where you enjoy autonomy, actively shape our product and have a meaningful impact. You will be in charge of novel statistical algorithms inspired by human perception, powered by various machine learning and artificial intelligence methods. Translating real-world problems into the best classes of algorithms and combining them into powerful end-to-end solutions is your thing. You maintain strong knowledge about industry trends, new technologies, and best practices for large-scale machine learning and data processing. We use probabilistic methods and advanced text analysis to automatically turn messy data into structured information. Our technology achieves super-human performance, makes data standards redundant and accelerates business growth. Onedot is a startup backed by leading venture capital firms and world class entrepreneurs. Your Responsibilities Create, prototype and advance our probabilistic machine learning algorithms Design, implement and test large-scale machine learning models Prototype end-to-end solutions involving multiple machine learning problems Work with research and engineering teams to bring novel approaches from prototypes to production code Document, coach and educate engineering team members in relevant fields Minimum Qualifications MSc or PhD in Machine Learning, Computer Science or related fields Excellent math and statistics skills Expertise in Shell Scripts, Python, Scala, and at least one machine learning framework Motivation and passion for large-scale machine learning problems Ability to write expressive, high-quality, reusable code Thinks big, gets things done, has fun and loves working with a high impact team! Preferred Qualifications Expertise in reinforcement learning and incremental learning Deep understanding of functional programming paradigms Experience with large-scale distributed applications performing under heavy load As part of our dedication to the diversity of our workforce, Onedot is committed to equal employment opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. This is a full time position based in our office in Zurich/Schlieren. Apply today, and we start our journey together! REQUIREMENTS English language proficiency Minimum of 4 years of relevant industry experience BENEFITS Performance-oriented compensation, because we reward high-impact work. Stock option programme, because we want to share our success Flexible work hours, because impact, not face-time counts Occasional work from home, so that you can focus and concentrate Truly international colleagues, to learn from each other and push forward as one team Cool office space, because we like it cosy and comfortable Free snacks, drinks, coffee and other perks to keep you going Regular events to better get to know each other Planned education & training to continuously broaden your skills Accident insurance to cater for your personal health Generous pension plan to provide for your future

Avaloq is driving the digital transformation and automation of the financial services industry.   Our clients are the leading banks of today and tomorrow. Based on our fully integrated banking software, we create powerful digital experiences provided through a standardized Business Process as a Service (BPaaS) or Software as a Service (SaaS) model to banks and wealth managers.   To further spur innovation, we work with clients, other fintechs, universities and hundreds of third-party developers in a uniquely collaborative way we call the Avaloq Ecosystem. Headquartered in Switzerland, Avaloq has more than 2,000 employees and has a presence in the world’s most demanding financial and innovation centres, including Berlin, Frankfurt, Hong Kong, London, Luxembourg, Madrid, Paris, Singapore and Sydney. The positionAre you passionate about data? Are you interested in shaping the next generation of data science driven products for the financial industry? Do you enjoy working in an agile environment involving multiple stakeholders?   A challenging role as Senior Data Scientist in a demanding, dynamic and international software company using the latest innovations in predictive analytics and visualization techniques. You will be driving the creation of statistical and machine learning models from prototyping until the final deployment. We want you to help us to strengthen and further develop the transformation of Avaloq to a data driven product company. Make analytics scalable and accelerate the process of data science innovation. Your profile PhD or Master degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field 5+ years of experience in Statistical Modelling, Anomaly Detection, Machine Learning algorithms both Supervised and Unsupervised Proven experience in applying data science methods to business problems Ability to explain complex analytical concepts to people from other fields Proficiency in at least one of the following: Python, R, Java/Scala, SQL and/or SAS Knowledgeable with BigData technologies and architectures (e.g. Hadoop, Spark, stream processing) Expertise in text mining and natural language processing is a strong plus Familiarity with network analysis and/or graph databases is a plus High integrity, responsibility and confidentiality a requirement for dealing with sensitive data Strong presentation and communication skills Experience in leading teams and mentoring others Good planning and organisational skills Collaborative mindset to sharing ideas and finding solutions Experience in the financial industry is a strong plus Fluent in English; German, Italian and French a plus Professional requirements Use machine learning tools and statistical techniques to produce solutions for customer demands and complex problems Participate in pre-sales and pre-project analysis to develop prototypes and proof-of-concepts Analyse customer behaviour and needs enabling customer-centric product development Liaise and coordinate with internal infrastructure and architecture team regarding setting up and running a BigData & Analytics platform Strengthen data science within Avaloq and establish a data science centre of expertise Look for opportunities to use insights/datasets/code/models across other functions in Avaloq Main place of workZurichContactAvaloq Evolution AG Alina Tauscher, Talent Acquisition Professional Allmendstrasse 140 - 8027 Zürich - Switzerland

The Knowledge Science team is part of the Corporate R&D division. Fundamental research on AI/ML in the context of chemistry, sensory and creativity is at the core of the team’s activity with the goal to deliver data-driven business functions across the company. Our working environment includes latest hardware equipment and tools from the IT and collaborations with key AI players (academic and industrial) around the world. We are looking for an experienced Data Scientist, grounded with a strong  Machine Learning expertise and passionate about mathematical modeling and optimization processes. Being a  core member of the data science team, you will work in close collaboration with business unit professionals and managers to solve complex business problem through advanced algorithms and machine learning approaches. This role is at the heart of the Firmenich's digitalization strategy and will offer a high visibility within senior level executives. The successfull candidate will have to demonstrate excellent team leading skills and communication abilities to foster a strong data-driven culture within the company.   Your reponsabilities: Conduct research on Artificial Intelligence in the field of the Fragrance and Flavours Industry. Turn business and technical challenges into algorithmic and data-driven solutions. Supervised deployment of models and algorithms within the production environement.  Ensure conitnuous improvement through industrialized machine learning pipeline. Collaborate and communicate to all levels of the company and externally (academic, start-up...). Build new and improved solutions for data collection, management and usage. Become an authorithy in Machine Learning / Artificial Intelligence within the company.   Qualifications: Advanced degree (PhD preferred) in a quantitative field like computer science, engineering, statistics, physics. Demonstrated experience with machine learning, operation research and datamining in professional environement. Proven ability to manage R&D projects and supervise research teams. Deep understanding of statistics, probabilites, artificial neural networks, minimization algorithms. Excellent command of Python/Matlab and related DL frameworks (Tensorflow, PyTorch, Mathworks DL toolbox...). Knowledge of SQL, no-SQL, javascript and DevOps methodologies appreciated. Ability to work in an international atmosphere, involving high-level collaborations with both academic and business partners. Willing to assume additional responsibilities and to become a respected know-how carrier in our team  

GPS (Global Product Strategy) drives the business strategy at Roche from research to commercialization. GPS collaborates closely with teams across the organization to bring new therapies to the market and maximize the launched product portfolio. With your ability to work in the detail yet see the big picture you can influence the direction of the company in a disease area. At Roche we offer you chances to create your career inside or outside of GPS. With offices in 160 countries, we offer a truly international experience depending on where your interests take you. The Data Scientist will be responsible for creating value from data assets using advanced analytics capabilities, such as data science, machine learning, and artificial intelligence methods, to identify critical business issues and opportunities for the strategic direction of Roche as part of the Advanced Analytics and Business Insights (AABI) Center of Excellence. In this role, the individual will work closely with the AABI team and the broader GPS/I8 teams to define use cases, frame analytical solutions and roadmaps, and implement analysis to drive business impact for Roche across the Commercial, Market Access, Medical, and Finance teams. They will work closely with IT to develop state-of-the-art analytical capabilities to address identified needs. The Data Scientist is a subject matter expert on analytics, data, and measurement. Their technical expertise and strong leadership is recognized externally (speaking at conferences and industry events) and internally (proactively providing market expertise and strategic guidance to key stakeholders, while learning and sharing methodologies for complex analyses). They integrate multiple data sources to become a trusted, objective source of strategic insights and compelling recommendations to the Commercial organization and our internal partners. Responsibilities In this position, the person will be accountable to consistently and effectively: Set strategic direction by working across GPS/I8 to understand business needs and translate them into use cases to drive business impact for Roche Partner with the data platform and governance team and IT to ensure that data strategy has the ability to resolve use cases in the most efficient and effective manner Apply analytical and statistical methods to solve identified use cases in an agile manner using multiple data sources and analytical tools Develop, implement, and evolve the role of data science, machine learning, and artificial intelligence capabilities across GPS and I8 Commercial, Market Access, Medical, and Finance teams Automate analyses and develop interactive, employee-facing tools, platforms, and systems that inform, support, and enable business decisions across Roche by delivering insights in a speedy and efficient manner Provide technical/analytical expertise to team through secondary data analytics Collaborate within cross-functional teams to develop solutions, gain alignment and deliver impactful business insights; engage necessary stakeholders to enable better decision-making Openly share perspective and insights to elevate team thinking and drive a balanced, holistic point of view; effectively weigh and communicate trade-off considerations Take an enterprise mindset, linking individual responsibilities with broader organization; focus on outcomes that provide most business value Demonstrate self-accountability Look for opportunities for continuous improvement; engage managers and peer group regularly for coaching, assistance, and advocacy Act as a thought partner and advisor to all relevant teams and stakeholders; look for and establish opportunities for peer mentorship Key Qualifications and Experience Required: Masters/PhD in Data Science, Statistics, or related graduate-level degree At least three years analytical experience, preferably within pharmaceutical or biotech industry Very strong technical skills: designed and conducted analyses to generate insight and recommendations; proficiency in analytical tools (Python, Spark, R etc.) and cloud computing environments Demonstrated ability to influence without direct authority and to develop and maintain strong partnerships Exceptional structured problem-solving and strategic agility abilities Excellent communication skills: simplifying complex information into clear, synthesized insights and presenting them to stakeholders at all levels of the organization Experience with global pharmaceutical data: syndicated sales, promotional & marketing data, longitudinal patient-level data, payer data. Additional knowledge of primary market research or medical research data is a plus. Experience using patient level data (medical/retail claims) to analyze treatment and usage patterns Experience working with commercial teams and marketing analytics Experience with advanced statistical techniques such as experimental design, CHAID, uncertainty analysis, data mining, segmentation methods, multivariate regression, construction of score-cards, or predictive modeling Excellent speaking abilities; strong network around data science and analytics Proven track record for consistently meeting or exceeding qualitative, as well as any relevant quantitative, targets and goals Ability to communicate statistical and technical ideas and results to non-technical clients in written and verbal form, including experience and level of comfort presenting concepts to senior executives Impeccable ethics and integrity Business travel is required for regular internal and external business meetings Are you ready to apply? We are looking for someone who thinks beyond the job offered - someone who knows that this position can be a rare springboard to many other opportunities at Roche. Roche embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be. Who We Are A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work. The next step is yours. To apply today, click on the "Apply online" button.

EY is a global leader in assurance, tax, transaction and advisory services. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities. Visit us at http://www.ey.com/CH/en/Careers   The rapidly growing Forensic & Integrity Services department is currently seeking the right candidate for an excellent career opportunity in the Forensics team in Zurich   Our Forensics team is a multidisciplinary group of professionals (i.e. forensic accountants, lawyers, data analysts, forensic technology and former law enforcement professionals) that develop business concepts which specifically target to create confidence and prevent or combat fraud, bribery and corruption. Build your career as an employee and help our customers avoid financial loss and reputational damage. Tasks that you promote Supporting on investigations of any type of misconduct (e.g. fraud, bribery, corruption) and assisting in technology assisted document reviews Support in the design and implementation of compliance and anti-fraud management systems Assisting in the development and implementation of guidelines and codes as well as anti-fraud and compliance communication strategies Working on compliance risk and performance assessments Assisting in third-party risk management and integrity checks Working with clients, fraud investigators, internal and external auditors, forensic technology experts, lawyers and regulatory authorities in sensitive and sometimes adversarial situations Your profile to succeed together Degree (Bachelor or Master) in business administration, accounting, finance, audit or related fields Knowledge of Compliance and Risk Management, Fraud Schemes, Accounting and Finance Ideally practical experience in a similar type of work Assertive and proactive approach to the execution of projects as well as the ability to network effectively within large organizations and build relationships with individuals and clients. Excellent verbal and written communication skills in English and German is required - any additional language considered as a plus.   More opportunities for your development Do you have challenging plans? Stick to them and realize your goals with us! Design your career with EY in a culture that promotes diversity and education. In an environment that constantly opens new doors through knowledge sharing, flexibility and recognition. We offer you to join our highly motivated team . You will be working and learning in a highly dynamic and cross-functional team - being able to boost your learning curve through the combination of intensive team work, challenging client projects and being part of the network of one of the world’s leading professional services firms.   Mr Jona Fahrlaender looking forward to receiving your application Do the next step and apply for this position online with Ref: SWI000J6   Only direct applications will be considered.

The ideal candidate will be a hands-on data scientist, quantitative epidemiologist or statistician with experience in large-scale healthcare data analysis. S/he will have experience working with a variety of data sources, such as clinical trial data, electronic health record data, insurance claims data, and disease/patient registry data. The candidate must also have a demonstrated ability to actively listen, integrate input from diverse sources, and collaboratively translate medical or business questions into data and analysis requirements and a clear path forward. Overall responsibilities include : Directly participate in multiple analytics projects Collaboratively develop analysis plans based on clinical or business questions, and lead their execution through the use of existing analytic approaches or the development of novel ones. Interpret data analysis results in clinical or business context, and articulate the implications of the results to the business function Represent the IKU Data Sciences group and its capabilities in meetings with nontechnical peers Work in a fast-paced multidisciplinary dynamic environment, and as necessary create examples, prototypes, demonstrations to help the business better understand innovative solutions Collaborate with team members to meet project checkpoints and accomplish team objectives Key competencies, skills, and attributes: Advanced knowledge of a subset of analytical approaches (ex. statistics, predictive modeling, visual analytics) and the desire to continually learn and grow your analytical skillset Ability to work with structured and unstructured data Excellent communication skills with an ability to communicate complex matters in laymen’s terms Ability to multi-task and handle numerous complex relationships at a time Demonstrated ability to engage in effective joint problem-solving to address key challenges Education and Experience Guidelines: 1+ years experience in pharmaceutical / biotechnology / healthcare / health IT industry Masters degree, or equivalent experience, in Biostatistics, Epidemiology, Computer Science, Statistics, Mathematics, or related field with a substantial statistical component At least 1 year experience in observational healthcare data analyses Technical Experience Guidelines: Advanced hands-on knowledge of R and/or Python Working knowledge of SQL and relational databases Experience analyzing data from traditional healthcare databases (electronic medical records, claims, etc) is preferred Experience with Hadoop platforms (ex Cloudera, Hortonworks) and related “big data” technologies is preferred Experience working in Cloud Computing environments (ex AWS, Azure, etc) is preferred About Us COMMITTED TO IMPROVING THE LIVES OF PATIENTS WORLDWIDE At Celgene, we seek to deliver truly innovative and life-changing drugs for our patients. Our vision as a company is to build a major global biopharmaceutical corporation while focusing on the discovery, the development, and the commercialization of products for the treatment of cancer and other severe, immune, inflammatory conditions. "At Celgene, we seek to deliver truly innovative and life-changing drugs for our patients."

Senior Data Scientist - Recommendation Engine Darwin are partnered with a leading Travel Company based in Geneva who are currently looking for a Senior Data Scientist on a 6 month initial contract to help define the architecture and develop the proof of concept on their latest project, a recommendation engine on their website. The ideal Data Scientist will be able to provide examples of successful projects they have worked on building recommendation engines. This is an English speaking project offering 2 days a week remote and offers a fantastic opportunity to work with a globally recognised leader in the travel market. Please contact me with an updated CV, your availability and daily rate expectations to ryan.green@darwinrecruitment.com

My client, is a global data & analytics consultancy with a key focus on deriving solutions in the broad fields of Business Intelligence, Data Analytics, Artificial Intelligence and driving business performance. They're data setup is diversified, scaling heavily across the Engineering, Analytics and Data Science space. As part of the next phase of their growth they're looking to grow and scale the Data Analytics team to work in tandem with their Engineering/Data Science teams to offer a consolidated solutions to their clients across various industries (Finance, Automotive, Travel and more). Responsibilities: Prepare and implement POC workshops, training and project organisation particularly utilising Microsoft Data, BI & Analytics services). Deliver project management activities - Creating project expense estimates, projects and resource planning. Manage and cleanse data making sure of the validity and quality for varying client requirements. Provide collaboration with Data Scientists and Engineering teams enabling Machine Learning and advanced analytics projects. Requirements: Passionate about building analytics solutions and working closely with customers. Background in implementing cloud platforms (Microsoft Azure, AWS) Deep technical knowledge in Microsoft SQL, Power BI, SQL, DWH, DataLake or similar technologies. Understanding and ability to work in a team, management skills and ability to liaise with stakeholders. Deep knowledge of cloud technologies including Data streaming, Machine Learning and Big Data topics. German and English speaking. Willingness to travel regularly. If you're working as a Data specialist looking for that next step up, working on state of the art technologies across various industries and providing bespoke solutions to all types of companies do get in touch at   Daniel.Neaves@darwinrecruitment.com   along with your CV and a suitable time to speak.

For a project at client in Basel, we are looking for an experienced Data Engineer – ETL / Python. QUALIFIKATIONEN Several years’ experience in Data Engineering with ETL and Python Well versed with Databricks and/or Apache Spark Experinces in implementing ETL processes to standardize and automate data movement transformation Deep understanding of agile project and development methods Experience in data modeling and handling large amounts of data - solid knowledge of SQL Strong problem solving and analytical skills with the ability to work with global project teams Fluent in English, German is a big advantage AUFGABEN Design and implement the technical processes (data pipelines) to ingest, catalog, curate, unify, and integrate data Will need to collaborate with scientists, data managers, and technology teams to document and leverage their understanding of the data and actively participate in agile work practices Adopt and improve on the strong engineering practices followed by technology teams Deliver clear, maintainable, and well-tested code in a timely manner