Top Data Science Jobs in France

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.

Leads CMC data management strategy, governance, standards, master data, data quality, and lifecycle management within a pharmaceutical environment. Manages and develops Data Managers, supports data transformation, and prepares structured CMC data for future data science and AI initiatives. Partners with CMC, R&D, Data, Digital, and IT teams to promote reliable, compliant, and data-driven operations.

A 12-month technology placement providing hands-on experience across areas such as AI, data science, cybersecurity, software development, cloud engineering, digital products, platform engineering, site reliability, innovation, and integrations. The intern will contribute to meaningful business projects, develop technical and professional skills, and receive structured mentoring and development support. The role requires a relevant degree, UK work authorization, willingness to travel or relocate, and availability to start in June 2027.

Two-year technology graduate programme with three rotational placements across software development, data and AI, cybersecurity, cloud engineering, digital products, and platform technologies. Graduates will work on meaningful business projects, develop technical skills, and receive mentoring, structured learning, and career support. Applicants need a relevant degree, UK right to work, curiosity, willingness to travel or relocate between placements, and availability to start in September 2027.

Lead Wiremind’s product organization and company-level strategy, overseeing approximately 15 Product and Design employees. Set product direction, align software and AI/ML roadmaps, improve product processes, unblock squads, enhance UX for complex expert-facing B2B SaaS products, and coach product leaders. The role focuses heavily on revenue management, forecasting, pricing, and transport products while partnering with the CEO and executive team.

The Chief Marketing Officer will lead Wiremind’s global go-to-market strategy across product, sales, customer success, and executive leadership. Responsibilities include product and market positioning, packaging and pricing alignment, demand generation, corporate communications, PR, thought leadership, sales enablement, performance measurement, and international growth. The role manages an 11-person marketing team, drives revenue-oriented metrics such as CAC, LTV, and pipeline contribution, and develops AI-enabled market intelligence and marketing operations.

Senior Data Scientist responsible for delivering data science and machine learning solutions using Databricks. The role involves translating business requirements into effective data-driven solutions, collaborating directly with French-speaking clients and technology teams, and owning projects through successful delivery. Strong analytical, communication, stakeholder management, French and English language skills are required. The position offers flexible hybrid work on AI, generative AI and data projects in an international environment.

Develop GreyNoise’s cybersecurity channel business across Europe by recruiting and activating partners, building joint business plans, enabling partner teams, generating qualified pipeline, and co-selling enterprise and government opportunities. The role manages partner relationships, channel strategy, revenue targets, forecasting, commercial negotiations, partner reviews, technical enablement, demand generation, and cybersecurity event representation.

Own the Mapping & Content product domain end to end, including strategy, prioritization, economics, and outcomes. Lead efforts to match hotel rooms and content across suppliers, languages, and formats with high accuracy and coverage. Partner closely with engineering and data science teams on entity resolution, search, matching, catalog, identity, recommendation, and content-quality problems. Identify high-value failures, make trade-offs between precision and coverage, and help build Nuitee’s product organization in a fast-moving environment.

Leads Cafeyn’s Customer Data and Data Science strategy, driving business performance, data monetization, predictive retention, AI-powered product innovation, experimentation, and scalable data foundations. Manages Data Analysis and Data Science teams, partners with Data Engineering, establishes governance and KPI frameworks, and collaborates with executive, product, marketing, content, business, and technology stakeholders to turn customer data into measurable commercial and product outcomes.

Oversee end-to-end clinical data science programs, including planning, resource allocation, budgets, timelines, risk management, and delivery milestones. Coordinate data scientists, statisticians, clinical researchers, clients, and cross-functional teams. Provide guidance on clinical data management, systems, methodologies, regulations, and data risk. Manage escalations, financial performance, reporting, proposals, and client partnerships while mentoring teams and supporting strategic clinical data science plans.

Develop and improve ATR’s MobilityMonitor platform by processing large-scale mobile GPS data with PySpark and Azure Databricks. Estimate inter-city travel volumes, build interactive CARTO and Power BI dashboards, analyze mobility markets, and communicate findings to internal teams and customers. The intern will collaborate with Market Development, Marketing, Sales, airlines, and government bodies.

Supports enterprise software sales by presenting Aera’s Decision Intelligence platform, conducting tailored demos, leading proofs of concept and value, facilitating workshops, developing ROI analyses and business cases, responding to proposals and RFx requests, and defining deployment roadmaps. Partners with sales, product management, marketing, delivery, and customer success teams while engaging technical and executive stakeholders. The role requires supply chain expertise, consultative communication, and approximately 25% travel.

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.

Lead product strategy for Kard’s data and internal developer platforms across data, ML, analytics, engineering enablement, and infrastructure teams. Translate transaction data and platform capabilities into customer and commercial value through personalization, targeting, measurement, decisioning, and partner integrations. Define reusable platform capabilities, improve self-service and reliability, shape cross-functional bets, align stakeholders, and coach product leaders while balancing scale, security, privacy, compliance, and business impact.

Develop and demonstrate NVIDIA GenAI solutions on hyperscaler infrastructure, primarily GCP. Advise customers and partners, optimize GPU-accelerated training and inference pipelines, conduct proof-of-concept evaluations, and collaborate with Engineering, Product, Sales, and Marketing teams to integrate NVIDIA technologies into enterprise architectures.

Supports Pernod Ricard’s global Commercial Excellence team through market assessments, performance analysis, executive reporting, commercial standards, best-practice benchmarking, training materials, dashboards, and internal communications. Contributes to deployment of the D STAR machine-learning recommendation tool by monitoring roadmaps and KPIs, coordinating steering committees, prioritizing enhancements, and translating market needs into technology requirements. The role also supports strategic commercial frameworks and roadmap evolution.

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.

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.

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

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.

Design, prototype, evaluate, and ship AI agents and reusable skills for product and analytical challenges. Build agent evaluators, guardrails, golden datasets, retrieval systems, and LLM-powered diagnostics. Collaborate with Product, R&D, GTM, and Design teams to frame ambiguous problems, analyze large datasets, develop predictive models, and create actionable insights. The internship requires a builder mindset, strong analytical ability, and proficiency in Python, SQL, data pipelines, and visualization.

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.