Senior Data Scientist - Advanced Analytics
Hybrid · Paris, Île-de-France, France
Job Summary
Senior Data Scientist at Singulier to design, build and validate advanced models for customer and value analytics, including segmentation, propensity, churn, uplift, LTV and pricing, plus demand forecasting and supply chain optimization. You will own analytical methodology on engagements, work with messy client data using Python/SQL to prepare analytics-ready datasets, translate model outputs into executive-ready findings for C-level stakeholders and investment funds, and build AI agents to automate analyses. Responsibilities include data transformation, feature engineering, modelling, documenting reusable code, preparing models for industrialisation, and upskilling consultants. The role embraces collaboration with consultants, a focus on pragmatic business impact, and applying GenAI techniques where valuable. Location-based in Paris with a hybrid model (3–4 days/week in the office). Preferred candidates will have a Master’s-level education and a track record in data science within consulting, private equity, or client-facing environments, plus strong English and French language skills.
Required Qualifications
- Degree from a top-tier engineering, data science or statistics school or equivalent
- 3 to 6 years of experience in data science or advanced analytics
- strong command of Python and SQL
- experience with PySpark/Databricks
- solid applied ML and statistics (segmentation/clustering, scoring, uplift, forecasting, optimization)
- experience with AI agents / GenAI workflows or strong interest
- ability to synthesize and present technical work to non-technical stakeholders
- fluency in English; French strongly preferred
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