<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> Expleo offers a unique offer of integrated engineering, quality and strategic consulting services for digital transformation. In a context of technological acceleration, we are the trusted partner of companies that innovate. We help them develop a competitive advantage and improve the lives of millions of people.<br/><br/>Joining Expleogroup means 17,000 employees in 30 countries, but also:<br/><br/><ul><li> Have technical and human support for each project and effective follow-up of your career </li><li> Carry out training to develop professional skills </li><li> Participate in dedicated special events </li><li> Integrate a dynamic team <br/><br/></li></ul><strong>Responsibilities<br/><br/></strong>To join our Team of Data consultants based in <strong>Geneva area</strong>, we are looking for a<br/><br/><strong>Data Scientist – Time Series &amp; Anomaly Detection (m/w)<br/><br/></strong>As AI specialist , you will contribute to the development of an advanced machine learning solution in the motorsport and automotive domain.<br/><br/>The project focuses on building a robust anomaly detection system, combining data engineering, machine learning and software engineering practices to transform complex data into actionable technical insights.<br/><br/><strong>Your Mission<br/><br/></strong><ul><li>Design and implement data pipelines from raw data to ML-ready datasets Develop and optimise machine learning models for time-series analysis and anomaly detection</li><li> Build explainable AI solutions enabling users to understand model outputs</li><li> Define performance indicators and analytical frameworks</li><li> Establish MLOps foundations including experiment tracking, model lifecycle management and reproducible workflows</li><li> Produce technical documentation and support knowledge transfer. You will collaborate with experienced engineering and data teams in a highly technical environment combining AI, software development and advanced analytics.<br/><br/></li></ul><strong>Qualifications<br/><br/></strong><strong>Your Profile:<br/><br/></strong><ul><li>You have minimum 6 years of experience in Machine Learning Engineering / Data Science ideally in motorsport, automotive, aerospace, environments</li><li>Strong expertise in time-series data and anomaly detection</li><li>Advanced Python skills and experience with ML frameworks</li><li>Experience developing end-to-end machine learning solutions</li><li>Knowledge of MLOps practices and software engineering standards</li><li>Ability to translate complex technical outputs into clear insights</li><li>Fluent French and English mandatory</li></ul> </div>