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September 18, 2026
Senior Data Scientist
Senior • On-site
Quick Facts
Role: Senior Data Scientist
Description
Design, develop, and deploy advanced analytics and machine learning solutions that generate measurable impact on business activities.
Responsibilities
Design, develop, and deploy data science and machine learning models (segmentation, churn, fraud, marketing, forecasting, optimization)
Translate business problems into concrete, measurable analytics solutions
Lead end-to-end use cases: data exploration, feature engineering, modeling, evaluation, production deployment, and monitoring
Define performance metrics; ensure model robustness and manage evolution over time (recalibration, drift)
Collaborate closely with Data Engineering, IT, AI, and business teams to industrialize models
Document work and support business teams in adopting solutions
Ensure explainability, compliance, and responsible model use in regulated environments
Contribute to data science best practices and the development of reusable components and models
Act as a technical reference and help upskill more junior profiles
Requirements
5 to 8 years of experience in applied data science, machine learning, or advanced analytics
Strong command of Python and SQL, and core machine learning techniques
Proven experience deploying models in production and collaborating with Data Engineering / IT teams
Good understanding of data quality, model performance, and monitoring
Ability to work on complex business problems and deliver pragmatic, actionable solutions
Excellent communication and collaboration skills with both business and technical stakeholders
Experience in insurance, finance, or a regulated environment (plus)
Master’s degree in Data Science, AI, Computer Science, or equivalent experience
Languages: fluent French (required); professional English (plus)
Benefits
Drive measurable business impact through end-to-end machine learning while ensuring model explainability, compliance, and responsible use in a regulated environment.
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