Data Scientist – Time Series & Anomaly Detection

Expleo Technology Switzerland est a la recherche d'un(e) Data Scientist – Time Series & Anomaly Detection pour son site de CH.

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.
Joining Expleogroup means 17,000 employees in 30 countries, but also:
• Have technical and human support for each project and effective follow-up of your career
• Carry out training to develop professional skills
• Participate in dedicated special events
• Integrate a dynamic team
To join our Team of Data consultants based in
Geneva area
, we are looking for a
Data Scientist – Time Series & Anomaly Detection (m/w)
As AI specialist , you will contribute to the development of an advanced machine learning solution in the motorsport and automotive domain.
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.
Your mission:
• Develop and optimise machine learning models for time-series analysis and anomaly detection
• Design and implement data pipelines from raw data to ML-ready datasets
• Build explainable AI solutions enabling users to understand model outputs
• Define performance indicators and analytical frameworks
• Establish MLOps foundations including experiment tracking, model lifecycle management and reproducible workflows
• 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.
Your Profile:
• You have 6 years minimum parcours professionnel in Machine Learning Engineering/
Data Science ideally
in motorsport, automotive, aerospace environments.
• Strong expertise in time-series data and anomaly detection
• Advanced Python skills and experience with ML frameworks
• Experience developing end-to-end machine learning solutions
• Knowledge of MLOps practices and software engineering standards
• Ability to translate complex technical outputs into clear insights
• Fluent French and English mandatory
AVENUE DE RHODANIE 60
1013 Geneve

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