Top Data Science Jobs in Lyon

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

Lead end-to-end delivery of multiple software projects by creating and managing plans, running agile ceremonies, tracking KPIs, coordinating distributed teams and stakeholders, mitigating risks, and ensuring on-time delivery using project management tools (Linear).

Lead pre-sales technical engagements for Neo4j: assess customer needs, design graph-based architectures, build prototypes, advise technical decision-makers, and support sales with proposals and training.

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.

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.

As a Software Engineer, you will design and develop applications, write clean code, engage in code reviews, optimize systems, and explore new technologies in a remote team.

The Digital Product Owner will drive the product vision, develop AI-powered solutions, enhance operational efficiency, and manage stakeholders within Manufacturing and Supply Chain.

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.

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.

Design, develop, and deploy production-grade ML and AI solutions including LLM fine-tuning, RAG architectures, NLP pipelines, time-series forecasting, supplier risk and anomaly detection, scalable data pipelines, and RESTful integrations with enterprise systems.

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

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

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.

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