5 jobs found in Lausanne

COMPANY DESCRIPTION Nexthink is a dream software company founded in 2004 and headquartered in Lausanne, Switzerland. With offices in Madrid, Paris, London, Frankfurt, Boston and Dubai, we are proudly represented by 300 Nexthinkers, more than 25 nationalities and 900+ happy clients from the Fortune 5000. Nexthink is a leader in end-user experience management. By combining real-time endpoint analytics and end-user feedback Nexthink’s mission is to help IT improve business impact. Nexthink’s unique analytics & visualizations provide new insight and enable IT to adopt proactive operations, reduce costs and ultimately enhance end-user business productivity. Thanks to our fantastic growth we are looking for marvelous new colleagues! We are looking for a Senior Software Engineer with strong front-end programming skills and with test automation capabilities to play a major role in the company. The candidate should be heavily motivated by the product and experienced in Software development and testing. The position entails a high level of responsibility within the R&D team. Your contribution will have a significant impact on the satisfaction of hundreds of our happy customers. As a Senior Software engineer at Nexthink, your duty is to ensure that the software we deliver fulfil the product requirements by collaborating with our product experts. You will participate in all stages of software development: design, implementation, validation, maintenance and will collaborate with our experts and with the different teams. If you are highly motivated and result driven, you have a high sense of product ownership, constantly learning and enhancing your skills, you are open to feedback and you like being accountable and work within a team, then, do not hesitate to apply. Your main responsibilities will include: Design, implement and validate solutions for new features in our different frontends Maintain the highest code quality standards by using different metrics and by helping the team to improve its best practices in development Put in place the necessary front-end test automation to achieve excellent software quality Help us bring high decoupling of the different front components          Make sure that web and mobile technological trends are assessed and followed Work with the agile iterative/incremental mindset and best practices and participate actively to the different ceremonials Document the solutions and architecture according to our standards Qualifications: 5+ years of experience in Software Engineering with proven front-end expertise B.S. or Master in Computer Science (or equivalent)  Very strong technical background, with clear focus on web and mobile technologies Strong programming skills and ability to code in one or more of the following languages: Java, Scala, JavaScript, TypeScript Teamwork and collaboration is part of your DNA  Good leadership and soft skillset (e.g. proactivity, pragmatism, open-minded, excellent communication skills, …) Experience with libraries and frameworks like Angular, React, Bootstrap, JQuery, Ember, … Experience with micro-services, containers, API gateway, REST is a plus Experience in an agile environment is a must Strong motivation for complex challenges and learning new technologies Fluent in English (spoken and written), French is a big plus Additional Information: This is an exceptional opportunity to join a fast-growing, successful and innovative company. Nexthink allows you to thrive in a unique work environment where the emphasis is on excellence, innovation, openness and collaboration. Please submit your CV in English

COMPANY DESCRIPTION Nexthink is a dream software company founded in 2004 and headquartered in Lausanne, Switzerland. With offices in France, UK, Germany, Spain, UAE, Saudi Arabia and the US, we are proudly represented by 300 Nexthinkers, more than 25 nationalities and 900+ happy clients from the Fortune 5000. Nexthink is a leader in end-user experience management. By combining real-time endpoint analytics and end-user feedback Nexthink’s mission is to help IT improve business impact. Nexthink’s unique analytics & visualizations provide new insight and enable IT to adopt proactive operations, reduce costs and ultimately enhance end-user business productivity. Thanks to our fantastic growth we are looking for new rock stars! As PM for Machine Learning and AI you will be responsible and empowered to deliver end-to-end product features requiring AI techniques. As part of your job you will spend time with our customers to clearly identify the issues we want to help them solve and then work with your team to bring the best solutions to market, following a highly iterative and incremental process. Qualifications You are extremely passionate about solving challenging, real-life problems that are too complex to handle for human beings or even conventional software. You understand that the most important consideration when discussing about data is not whether we need deep learning or random decisions forests but instead   the need to correctly identify what is the problem that we want to solve. You also understand the importance of creating a great working environment, having fun with your team, being iterative while delivering value and spending a lot of time with users. Experience delivering to market end-to-end AI projects as part of a product. Experience in machine learning areas such as pattern recognition, predictive modeling, time series analysis, anomaly detection, knowledge graphs, etc. Experience implementing machine learning algorithms such as ensemble methods, clustering, deep neural networks, decision trees, etc. Outstanding communication and teamwork skills, and social awareness. Ability to drive complex projects with minimal oversight, delivering results incrementally and pragmatically. Demonstrated ability to collect user feedback and understand customer pain points. Enthusiasm for working in an international, collaborative and fast-paced environment and learning new technologies. Professional-level English, spoken and written. MSc/PhD in mathematics or computer science is a plus. Additional Information This is an exceptional opportunity to join a fast-growing, successful and innovative company. Nexthink allows you to thrive in a unique work environment where the emphasis is on excellence, innovation, openness and collaboration.

Play an active role in the biggest transformation in the history of Phillip Morris International. We are committed to impactful and dramatic change replacing cigarettes with cutting edge smoke-free products in order to a smoke free future. ROLE OVERVIEW As part of this transformation, our Corporate and Information Systems Function is growing and adapting to the new opportunities and challenges. We are currently looking to hire a Data Analytics Senior Auditor for ours offices in Krakow (Poland) and Amsterdam (The Netherlands). This is a great opportunity to join a fast forward and dynamic team. KEY ACTIVITIES Liaise with Data Analysts and auditors to design, develop and maintain Risk Indicators, Data Visualization and KPIs to asses PMI control environment.  Develop, maintain and Enhance data analytics library for different audit cycles.  Support the auditors during audit lifecycle creating delivering complex analytics  Work with data analytics lead auditors to define analytics to be developed during Audits Educate auditors on what Analytics are available • Collaborate on the development of the Corporate Audit Data Analytics framework and its activities  Support data driven risk assessments on PMI’s programs and processes DESIRED PROFILE 4+ years of internal audit in finance or Information Systems  Demonstrable experience in Data visualization and reporting techniques (Tableau, Power BI, etc.)  Familiarity with Data Warehouse and Data Mart concepts Knowledge of ERP systems and business processes • Solid analytical and problem solving skills Certification preferred (CISA, CIA andor others related to the field of data analytics). Proven experience in process improvement , process mining and audit experience along with Machine learning techniques is advantage Already or willing to become proficient in spreadsheet, word processing, database applications and macro writing skills • Ability to work independently or with a team Attention to detail  Ability to research, define problems, collect data, establish facts, and draw valid conclusions Ability to work and succeed in a multi-cultural environment Must be able to work in a fast-paced environment with increased initiative while demonstrating the ability to manage multiple competing tasks  Strong communication skills   Qualification: Bachelor’s degree in math, statistics computer science, information management, finance or economics. Certified Information System Auditor (CISA) Certified Internal Auditor (CIA) WHY WORK FOR US? Here are 3 reasons to work for PMI: 1. We’re international: Our global workforce of more than 82,000 is one of our greatest strengths and our employees speak more than 80 languages 2. We’re flexible: your work fits you and not the other way round, thanks to our Flexible Work Arrangement Program and 3. We’re a certified top employer: This position will advance your experience with innovative technologies, services, and processes. Backed by an attractive salary and compensation package, you will work in a professional setting with clients and team members from all over the world. We are the first multinational company in Switzerland to obtain the Equal-Salary label, for men and women. JOIN A GLOBAL MARKET LEADER PMI is the world’s leading international tobacco company, with six of the world's top 15 international brands and products sold in more than 180 markets. In addition to the manufacture and sale of cigarettes, including the number one global cigarette brand, and other tobacco products, PMI is engaged in the development and commercialization of Reduced-Risk Products (“RRPs”). RRPs is the term we use to refer to products that present, are likely to present, or have the potential to present less risk of harm to smokers who switch to these products versus continued smoking. We have a range of RRPs in various stages of development, scientific assessment and commercialization. Because our RRPs do not burn tobacco, they produce far lower quantities of harmful and potentially harmful compounds than found in cigarette smoke. For more information, see www.pmi.com and www.pmiscience.com . PMI is an Equal Opportunity Employer.

Do you have a first experience in data management or IT project management? Do you want to join a start-up with dynamic projects? So we have what you are looking for! ABOUT THE ROLE Our client, a company specializing in the development of IT solutions for the French public transport companies, is looking for their new Data Manager to enlarge their team! You will have the opportunity to join a young team and work on very interesting data management projects. DESCRIPTION OF THE TASKS Harvest and aggregation of data Data management and correct transmission through IT tools Project follow up Coordination with the various stakeholders WE ARE LOOKING FOR HES / UNI / EPF training in management information or other A first year of experience or IT project management or as a Business Analyst Technical proficiency in English (B1-B2 level) Good knowledge of SQL Autonomous, methodical, precise and quality-oriented personality. IN SHORT City:  Lausanne Activity rate: Full time, 100% Type of work : Mission, Mission of 3 months with possibility to be hired thereafter (Try & hire) Job Category: IT Project Manager  Start date: As soon as possible or to agree  

Background & Context Philip Morris International (PMI) has made a dramatic and historical decision: we are building our future on smoke-free products called Reduced Risk Products (RRP). Our vision is that these products will ultimately replace cigarettes. As smoke-free products are new in the industry, it requires us to change our business model, our operating model, our manufacturing processes and our consumer engagement.  This will result in multiple categories, new product lines, new manufacturing processes, as well as new and direct interactions with consumers collected in an avalanche of data.  We are switching from a B2B model to a mixed B2C one. Our product revolution has been the trigger point to embark into a complete transformation of our company and of our ways of working. It has also been the trigger point to shift PMI towards a data driven organization. We have only started PMI data and analytics journey in January 2017 by establishing an Enterprise Analytics and Data team (EAD) lead by Head of Enterprise Analytics & Data. Today we have close to 100 resources. EAD is a part of a newly established PMI Digital function. Our approach is to build simultaneously internal Data Governance and AnalyticsData Science capability. We believe that a simultaneous defensive and offensive data strategy is crucial for our success. EAD’s immediate objective is to accelerate RRP sales through actionable insights based on advanced analytics and a solid PMI-wide foundation of data. PMI Data Science organization today is about 50 people (including 35+ data scientists, 9 data science leads). There are four Data Science Labs in Lausanne, Krakow, Amsterdam and Tokyo. More than 30+ Data Science Use Cases were delivered so far. Data Science processes, tools and labs management is established as a good foundation for fast delivery. But there is still a lot to be done to fulfill our vision – “every decision, every day, driven by data.” The candidate will report to Head of Enterprise Analytics & Data and will work with close collaboration with other EAD leaders (Director Strategy & Planning Director Data Management Director Data Architecture and Director Business Intelligence). Purpose of the job Grow and develop the Enterprise Data Science organizational capability within PMI. Deliver high value analytics use cases to increase RRP sales together with Business Intelligence by leveraging predictive and prescriptive analytics. Challenges and Opportunities The key challenge is to a continuous interest and appetite for data-driven insights while balancing internal disruption which EAD and mainly PMI Data Science Team causes. Insights generated from data challenge conventional wisdom people rely on today. The story told by data may differ from the hypothesis people would like to formulate. This generates fear, resistance, misunderstanding and blockages. This requires strong business acumen, understanding of change management in corporate environment, ability to build trust and credibility from business leads. That is why Data Science Team must deliver actionable and trusted in-sights on high priority data science use cases and present them in an impactful way. Data Science team is a virtual one working in parallel in multidisciplinary teams. Ability to build and lead high performing and cohesive teams is a crucial leadership competence we expect from the candidate. This must be combined with ability to drive development of data science workforce competencies and skills to fit PMI evolving business needs. Data Science Delivery is dependent on multidisciplinary teams. The working relationships and collaboration with other EADDigital teams, IS, Functional counterparts is a key prerequisite for the success in the role. Critical Accountabilities Deliver Data Science Use Cases: Build Enterprise Data Science as a customer centric service delivering relevant and actionable insights for selected high priority use cases throughout data science methods. Facilitate hypothesis creation together with the business counterparts. Automate decision making throughout industrialization of data science use cases. Integrate Data Science and Business Intelligence (BI): establish appropriate processresources touchpoints between Data Science and BI teams for a smooth end to end analytical experience delivered to EAD customers. Build Data Science demand through customer satisfaction: a constant appetite and understanding of insights built on data science, set the right and realistic expectations, deliver insights leveraging data visualization and data story telling in a language of EAD customers Build cohesive and high performing teams: strong morale and spirit in Data Science virtual team couch, drive and align Data Science Leads ensure clear work allocation and transparency of progress across whole team engage the team into mutual learning and exchange of best practices integrate newcomers ensure open dialog.   Develop Internal PMI Data Science Capability Build & develop well balanced team of internal and external resources capable to react on fluctuating demand of data science use cases. Drive and evolve talent acquisition process to source required expertise. Translate PMI data science needs into an organizational development plan covering the design & composition of the team, behavioral and functionalskills development and individual development plans. Critical Experience Extensive relevant business experience. Proven experience in a lead advanced analytics role in multinational environment and scope. Prior experience in business intelligence, market research, and business analytics, strategic planning, preferred. Excellent understanding and practical experience in using data science methods, principles and needed capabilities. Comfort and ability to deal with ISIT related matters. Businessmarket experience and CPGFMCGRetail industry knowledge is preferred. Prior experience in the leading and growing of an enterprise wide data science organization is a must. Skills & Competencies Business Acumen and Managerial Courage – ability to understand various business functions, cross-functional interdependencies, business KPIs. Ability to ask the right questions, formulate problem statement and outcome of data science according to audience. Confident to follow up, raise and challenge senior leaders. Building performing teams and developing others – ability to lead, organize, grow and develop the team of different functional and technical experts. Lean Start Up Enterprise and Agile Methodologies – understanding of the methodologies and ability to practically apply them. Learning Agility and Dealing with Ambiguity - ability to quickly learnadapt to a new environment, new projects, new activities. Drive and Passion for Results – ability to resolve matters till the end, at high speed and quality