CAPGEMINI ENGINEERING

World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has more than 55,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet. Capgemini Engineering is an integral part of the Capgemini Group, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 325,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2021 global revenues of €18 billion. Get the Future You Want | www.capgemini.com
09/05/2024
Full time
CAPGEMINI ENGINEERING 1209 Geneva, Geneva, Switzerland
About Us At Capgemini Engineering Switzerland we value excellence, diligence, responsibility, dynamism and innovation. We offer a diverse workplace and would like to invite you to be part of our success story where we provide training, tools and foundations for your professional and personal growth. We are looking for an experienced Data Analyst R&D. Job description Develop data analysis and visualization solutions that will be used for analysis of the chronometric performance of aging products. Analyze existing solutions coded in Python already deployed in order to make them converge and evolve. Identify the needs and constraints of different users, then develop new visualization solutions with the aim of implementing them Work within a multi-business R&D oriented team. Your profile Engineering degree in Computer Science, Physics, Mechanics, Microtechnology HES, EPF or equivalent Confirmed experience in data analysis on...