Top Data Science Jobs in France

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.

The Senior Software Engineer will design and build backend systems for data science features, focusing on scalable solutions for processing streaming data and enhancing core products.

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.

As an Associate AI Deployment Strategist, you'll support the adoption of Mistral's AI solutions by designing roadmaps, collaborating with teams, and aiding customer success in a client-facing role.

Lead a team of Sales Engineers, collaborate with sales and channel partners, strategize sales cycles, and build customer relationships to drive business success.

As a Pre-Sales Engineer, support sales by conducting demos, customer presentations, and providing technical assistance while becoming an expert in Minitab's solutions.

As an AI Deployment Strategist, you'll drive the adoption of Mistral's AI solutions by collaborating with customers, designing AI roadmaps, and ensuring successful deployment and value realization.

The Branding Specialist enhances brand visibility globally through initiatives, develops employer branding strategies, manages international university relations, and supports PR efforts.

The Customer Quality Engineer manages customer complaints, analyzes data, and contributes to product improvement. They ensure effective communication and reporting to maintain quality and customer satisfaction.

The role involves assisting the D-STAR Product Team with daily tasks, preparing content for meetings, monitoring user adoption, coordinating with other teams, and supporting Digital Acceleration initiatives.

The AI Deployment Strategist drives adoption and deployment of AI solutions, collaborating with customers, designing roadmaps, and ensuring successful implementation of AI technology.

The Principal RWD Strategy Lead will develop and implement RWD strategies, manage relationships with data providers, support client projects, and ensure compliance with regulations.

The Product Manager will define and execute product vision for mobile app and financial health products, collaborating with cross-functional teams to enhance financial access for customers through data-driven decisions and execution excellence.

As an AI Benchmark & Datasets Engineer Intern, you'll identify and curate benchmarks, evaluate clarity and data quality, run validations, and maintain documentation for model evaluation.

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

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.

Join the data science team to work on impactful projects, focusing on applied analytics, data project management, and analytics engineering. Expect to lead in building solid data pipelines using SQL and dbt, and mentor junior members.

The Head of Natural Catastrophe Risks leads strategic oversight of natural catastrophe modelling, facilitates R&D, represents SCOR in the industry, and drives stakeholder engagement to enhance business development and risk assessment strategies.

The internship involves upgrading data quality control using Advanced Statistical Process Control, creating Power BI dashboards, and supporting data analysis projects.

As an intern, you will work on geospatial data science, use Pyspark and Azure Databricks with GPS data, improve analytics, and develop dashboards.

The Head of Data Science will lead a team, setting technical standards, driving causal inference and personalisation strategies, and fostering innovation in AI capabilities to deliver commercial value.

As a Data Science Intern, you will support data science projects, maintain existing machine learning models, and assist in code development. You will also promote data science concepts within the team.

As a Data Science Intern, you'll identify frameworks for data-driven business challenges, transform datasets, run analyses, build machine learning models, and communicate results.

The internship involves deploying data processing pipelines, collaborating with clients, conducting R&D in AI and data science, and supporting sales efforts.

The Engineering Manager will oversee a team building AI solutions for advertising, mentor staff, manage project delivery, and contribute to architectural discussions.