Top Data Science Jobs in France

Design and implement backend systems for data science features, build high-volume data pipelines, and ensure scalability for data-driven product capabilities.

Lead project teams to drive digital transformation using AI and data insights, focusing on customer value and optimizing business processes through advanced analytics and machine learning.

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 role involves implementing complex components, designing subsystems, documenting code, and collaborating with teams on trading system designs. Proficiency in C++ and other programming languages is required, alongside strong problem-solving skills.

The Principal Solution Engineer supports sales by engaging with customers, conducting demos, leading workshops, and collaborating with teams to drive product development and deployment.

The AI Presales Consultant engages with sales teams to qualify AI opportunities, configure solutions, and advise customers on AI capabilities and trends.

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.

As a Data Science Graduate Student Intern, you will research solutions to scientific problems, collaborate with academia, and deploy findings in production with engineers.

As a Principal Engineer in Data Science & AI, you will lead initiatives in large-scale advertising systems, driving technological advancements and collaboration with teams.

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.

Lead global R&D data and computational science initiatives, driving innovation through AI and data strategies, fostering cross-functional collaboration, managing teams, and optimizing drug discovery processes.

As a Data Scientist Intern, you will develop data processing pipelines, collaborate with clients, conduct R&D in AI, and assist in product cycles.

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.

The internship involves onboarding, participating in reconciliation projects, analyzing trade data, validating tools, and researching advanced technologies to enhance financial data reconciliation workflows.

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 offers practical experience in renewable energy analytics and quantitative research, focusing on machine learning, data analysis, and operational challenges.

The Data Science VP leads analytic projects, develops predictive models, engages with business teams, and communicates insights to senior management. They manage large-scale data analysis to drive automation and efficiency in business processes.

Lead AI-powered analytics capabilities for customer engagement in pharma launches, collaborating with stakeholders to create data-driven solutions.

The Principal Engineer - Data Science leads engineering processes, provides technical consultation, and supports project management while mentoring engineers and driving technical innovations.

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

Lead AI strategy and execution at Pigment, mentor a team in AI and data science, and drive AI integration across the organization.

The Data Scientist will develop AI solutions, apply machine learning and data analytics to solve health-related problems, and collaborate with various teams to deliver production-ready models.

As a Senior Data Scientist at Bigblue, you will solve critical data problems, empower teams with data solutions, and help build the data team while participating in product development cycles.

Develop and improve machine learning and statistical models for sports betting products, collaborating with teams to enhance performance and deploy models.

Develop and refine NLP projects by improving LLM models, implementing production models, and conducting performance experiments.