Top Data Science Jobs in France

Leads an international data science and AI team of up to eight members focused on commercial analytics and AI accelerators. Owns demand intake, prioritization, product strategy, model and data product delivery, and enterprise-scale ML/AI platform development. Partners with commercial, marketing, finance, and brand leaders to translate advanced analytics into business recommendations, revenue growth, and resource optimization. Requires executive communication, team-building, product management, and hands-on expertise in ML, LLMs, agentic workflows, cloud deployment, and pharma or healthcare analytics.

Define and maintain digital, data, analytics, and AI architecture and roadmaps for MSAT. Lead technology evaluations, governance, and compliance (GxP/GMP/CSV). Enable scalable analytics, AI adoption, and manufacturing performance improvements while advising stakeholders across science, quality, and IT.

Own and execute the roadmap for a core document verification product area, improve verification accuracy and conversion, partner with Engineering, AI/ML, Design, Growth and Ops, use analytics and experimentation to validate hypotheses, and prioritise investments while ensuring regulatory and compliance alignment.

Drive development and deployment of AI solutions, translating business needs into product requirements, managing backlogs, and coordinating cross-functional teams.

Lead GTM strategy and product positioning for key products, create messaging and content, run campaigns and launches, analyze market and competitive trends, and collaborate cross-functionally to drive adoption, pipeline growth, and customer engagement.

As a PhD Investment & Strategy Associate, you'll conduct research and financial analysis focused on AI-driven technology companies, providing insights for investments while collaborating with a talented team to support strategic decision-making.

You will leverage your technical expertise and sales leadership to drive revenue growth, build partnerships, and represent technology to engineering companies, focusing on capturing new business opportunities in Europe.

Design and execute benchmarks, curate datasets, evaluate benchmarks, and build evaluation infrastructure for AI model assessment while collaborating with R&D.

Customer-facing pre-sales role for the French market: present Snowflake to technical and executive audiences, run demos/proofs-of-concept, design solutions, build technical champions, collaborate with sales/partners/product/engineering, and represent Snowflake at events.

Lead end-to-end ML product roadmaps and initiatives (e.g., Attachment Matcher, Transaction Categorizer). Collaborate with data scientists, engineers, and stakeholders to define, deliver, and monitor ML solutions that drive measurable business value for SMEs across Qonto's platform.

Leads customer consulting and delivery for airline and mobility Revenue Management and Dynamic Pricing solutions. Responsibilities include customer communication, business-process mapping, data analysis, calibration reporting, training, adoption roadmaps, presales support, upsell identification, product feedback, consulting-methodology improvement, and coaching junior consultants. The role requires translating complex technical and business concepts for varied audiences while managing project risks and building trusted customer relationships.

Fully funded three-year postdoctoral fellowship focused on developing and improving scientific services for research infrastructures. Fellows conduct technology-development projects aligned with EMBL research areas, receive training in infrastructure operations and management, and build professional networks through secondments and job shadowing. Projects may involve computational science, imaging, optical engineering, robotics, mechanics, biotechnology, or omics. Applicants must hold or have defended a Ph.D. by September 30, 2026, possess relevant STEM training and technology-development experience, and demonstrate strong research potential.

Serve as a pre-sales applied AI architect partnering with GSIs and cloud providers (AWS/GCP) to develop joint GenAI solutions, codify reference architectures, support strategic customer deals, enable partner developer communities, and provide product feedback to inform roadmap and partner strategy.

Senior Product Lead to define, roadmap, and deliver Agentic AI solutions for enterprise programs. Lead requirements gathering, shape end-to-end AI/ML solutions, create PRDs and success metrics, coordinate cross-functional teams, manage stakeholders, and drive adoption, training, and value realization across brands.

Lead enzyme screening and biocatalytic process development for small-molecule APIs. Apply reaction engineering, kinetic modeling, DoE, machine learning, and robotics to optimize and scale processes, transfer to pilot scale, document results, and drive digital transformation across international multidisciplinary teams.

The R&D Data Science Group Leader manages teams in data science and prototyping, overseeing projects, strategy, and collaboration to drive innovation and deliver actionable insights.

Act as proxy Product Owner for Data Factory: gather and translate business needs into functional requirements, steer Agile data projects end-to-end (framing to go-live), coordinate stakeholders, define and track QCD KPIs, validate deliverables, ensure production delivery, training, and ongoing product maintenance and documentation.

The Lead Golang Software Engineer develops server solutions, leads technical designs and code reviews, mentors colleagues, and ensures the quality of engineering practices in the Commercial Systems unit.

Lead and deliver data science projects: perform exploratory and advanced analyses, validate and optimize predictive models, build dashboards and visualizations, ensure data governance, coordinate local/global solutions, present insights to stakeholders, and mentor junior analysts to support commercial decision-making.

Design and deploy large-scale ML solutions for adtech: research CTR prediction and online learning, translate papers into production, run A/B tests, monitor live model performance, and collaborate with engineering teams to deliver high-throughput, low-latency prediction systems.

Lead end-to-end data efforts: translate business needs into analytics, build forecasting and ML models, create dashboards, automate pipelines, monitor models, and drive data-driven product features.

End-of-year Data Science internship in Lyon contributing to R&D deep-learning projects for medical imaging (diffusion MRI denoising, super-resolution, synthetic image generation). Duties include model development, experiments, code reviews, hardware setup, and participation in R&D meetings with potential for publication.

Lead and coordinate product-focused data science initiatives: partner with Product and R&D, define roadmaps, translate business needs into analytics and models, apply AI/statistics to guide product decisions, communicate with senior stakeholders, and drive adoption of measurement, identity/privacy, personalization, and new marketing outcome efforts.

Lead a team building Owkin's agentic AI Scientist for drug discovery by applying multimodal omics and ML to discover targets, biomarkers, and disease subtypes; collaborate with biologists, engineers, and partners; shape platform capabilities, publish results, and grow a high-performing research team.

Data Scientists at QuantCo will analyze data, build machine learning models, and communicate results to stakeholders, aiming for impactful solutions.