Overview:
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
Responsibilities:
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:
- 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
- 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.
Qualifications:
Your Profile:
- You have minimum 6 years of experience 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