Top Data Science Jobs in Paris

Lead France’s end-to-end Revenue Growth Management strategy across retail and Away From Home channels. Develop pricing, pack architecture, promotional, equipment, route-to-market, and portfolio strategies to drive profitable growth. Apply advanced analytics, predictive modeling, AI, scenario planning, and financial simulation to optimize trade investment and promotion ROI. Partner with marketing, commercial, finance, supply chain, and bottler stakeholders while piloting and scaling innovative RGM capabilities.

Lead end-to-end ML product roadmaps and initiatives (e.g., Attachment Matcher, Transaction Categorizer). Collaborate with data scientists, engineers, and stakeholders to define, deliver, and monitor ML solutions that drive measurable business value for SMEs across Qonto's platform.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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 and deploy large-scale ML solutions for adtech: research CTR prediction and online learning, translate papers into production, run A/B tests, monitor live model performance, and collaborate with engineering teams to deliver high-throughput, low-latency prediction systems.

Lead and coordinate product-focused data science initiatives: partner with Product and R&D, define roadmaps, translate business needs into analytics and models, apply AI/statistics to guide product decisions, communicate with senior stakeholders, and drive adoption of measurement, identity/privacy, personalization, and new marketing outcome efforts.

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.