Top Data Science Jobs in Lille

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.

Develop and deploy scalable, production-grade machine learning and AI solutions for financial research. Build LLM- and NLP-based applications, collaborate with senior engineers, and contribute to reliable AI-driven products. Responsibilities require Python, software engineering, deep learning, databases, Docker, and at least one major deep learning framework. Preferred experience includes RAG pipelines, vector databases, LLM fine-tuning, cloud platforms, and Kaggle competitions.

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.

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.

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 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.

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.

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