206 Emplois pour Ingénieurs En Apprentissage Automatique - France

Kolecto est une fintech de gestion affiliée au Groupe Crédit Agricole qui simplifie, sécurise et améliore les finances des TPE-PME françaises, en conformité avec les dernières réglementations en vigueur.

Projet hybride par essence, notre solution digitale et humaine s'évertue à prendre le meilleur de deux mondes complémentaires : la culture agile et la vélocité d'une startup combinées à la puissance d'une banque universelle de proximité de 140 ans, leader européen historique de son industrie.

Aujourd’hui, Kolecto, c’est une équipe de 120+ personnes qui évolue dans un environnement de travail très dynamique, avec des bureaux idéalement situés à Miromesnil (Paris 8e), à 5 min des Champs-Elysées et 10 min de la gare Saint-Lazare.

Travailler chez Kolecto, c'est prendre activement part à un mouvement qui nous dépasse, celui de soutenir le maximum de TPE-PME de notre tissu économique , et notamment les plus vulnérables, dans la réussite de leurs transitions : technologique, économique et réglementaire .

Nous nous engageons au quotidien pour amplifier le pouvoir de projection et d’action des entrepreneurs, dirigeants et employés de TPE-PME qui contribuent à la compétitivité et la modernisation de notre pays.

Avec le soutien du Groupe Crédit Agricole et de son réseau national historique (39 Caisses Régionales, 7000 conseillers), Kolecto est en forte croissance et vise à accompagner la digitalisation de plus de 500 000 entreprises sur les prochaines années , en assumant pleinement son rôle de pont durable entre la banque de proximité, les experts-comptables et l’écosystème de partenaires de confiance des TPE-PME.

• La puissance de notre mission : nous trouvons beaucoup de sens à servir le maximum de TPE-PME françaises, et notamment celles qui sont traditionnellement le plus à la marge des dernières vagues de digitalisation et modernisation du pays;


• Nos collègues doué.e.s, passionné.e.s, expérimenté.e.s et altruistes, qui évoluent dans une dynamique de croissance très positive.


• Notre environnement de travail hybride unique , combinant le meilleur de l’environnement stimulant de la startup et la force de frappe d’un grand groupe bancaire leader.


• Notre politique de télétravail flexible , qui permet jusqu'à 3 jours de télétravail par semaine.


• Nos événements internes fédérateurs : deux séminaires par an, talks inspirants, afterworks, etc.

Piloter la vision, l’exécution et l’impact de la data science. Le Lead Data Science est responsable de l’alignement stratégique des initiatives de data science avec les objectifs business, de la qualité des livrables algorithmiques, ainsi que de l’encadrement technique et méthodologique de l’équipe data science.

• Pilotage de la stratégie Data Science
  
  
  
  • Co-construire avec le VP Data et les métiers la vision data science de l’entreprise.
  
  
  • Identifier les cas d’usage à fort impact (machine learning, scoring, NLP, GenAI…) et prioriser les chantiers.
  
  
  • Traduire les besoins business en projets data science concrets, mesurables et livrables.
  
  
  
  


• Delivery & excellence technique
  
  
  
  • Superviser la conception, le développement et le déploiement des modèles.
  
  
  • Garantir la qualité scientifique, la robustesse et l’industrialisation des algorithmes.
  
  
  • Instaurer des bonnes pratiques (reproductibilité, évaluation, documentation, MLOps, etc.).
  
  
  
  


• Management & mentorat de l’équipe
  
  
  
  • Encadrer les data scientists (1:1, plan de montée en compétences, revue de code/expériences).
  
  
  • Développer une culture d’exigence, d’apprentissage continu et de partage dans l’équipe.
  
  
  • Participer activement au recrutement de profils data science.
  
  
  
  


• Collaboration & impact business
  
  
  
  • Travailler étroitement avec les équipes Produit, Tech, Growth, Risk, etc., pour maximiser l’impact des projets ML.
  
  
  • Accompagner les métiers dans la compréhension, l’interprétation et l’adoption des modèles.
  
  
  • Porter la démarche “ML explainability” et ROI dans une logique d’aide à la décision.
  
  
  
  

Expérience

• 6 à 10 ans d'expérience dans des environnements data science appliqués (scale-up, fintech, conseil, etc.).


• Expérience avérée dans la livraison de projets ML end-to-end (POC → prod), y compris dans des environnements complexes.


• Première expérience de lead/management d’équipe fortement souhaitée.

Compétences techniques & méthodologiques

• Excellente maîtrise de Python, des bibliothèques ML (scikit-learn, XGBoost, PyTorch, etc.) et des outils de gestion de projet data science.


• Bonne connaissance des pratiques de mise en production de modèles (API, CI/CD, MLOps, monitoring).


• Solides bases en statistiques, en modélisation et en évaluation d’algorithmes.


• Connaissance de l’écosystème data (warehouse, ETL, outils de visualisation, etc.).

Soft Skills

• Leadership technique reconnu, capacité à embarquer une équipe et convaincre les parties prenantes.


• Excellente capacité de vulgarisation et de communication avec des interlocuteurs non-techniques.


• Sens du produit et du business : capable de prioriser en fonction de l’impact.


• Autonomie, rigueur scientifique, esprit critique, curiosité intellectuelle.

Ce que nous offrons

• 3 jours de télétravail


• Politique de RTT Annuelle (env 10j /an)


• Les titres restaurants dématérialisés sont d’une valeur de 11,52€ TTC par jour ouvrés travaillés pris en charge à 60% par Kolecto


• Mutuelle Alan Blue prise en charge à 70% par Kolecto

Overview

The Data Scientist Graduate is a key member of the client-facing Data Science Lab team in the European region. As a Data Scientist, you will be accountable for the development and delivery of analytics-driven strategies and solutions for Visa’s external clients in Europe. In this role, you will work collaboratively with VCA and a multitude of internal functions, their senior leaders, and our clients in promoting an insight-driven culture, creative analytic solutions, and best practices to drive business performance with a clear commercial ‘value’ and measurable ‘return’.

Half of your day will involve delivering projects (coding/working with data), and the other half will be dedicated to discussing data requirements and managing internal and external meetings. Please bear in mind that our workload varies tremendously, as each project is very bespoke. Sometimes we might deliver a CSV file; another time, a predictive machine learning model or segmentation. Whatever the solution is, you will be involved in the end-to-end process, starting from gathering clients’ requirements all the way to delivering actionable insights that enable our clients to make data-driven business decisions.

This role sits in the Paris office, within the France, Belgium and Luxembourg (FBL) cluster, and will report to the Head of Data Science.

• Promote the use of data science to solve business challenges for external clients, showcasing creative and impactful solutions.
• Collaborate with VCA consultants to identify and develop data science opportunities that support business development and revenue growth.
• Apply predictive modeling and machine learning techniques to improve client outcomes in areas like customer acquisition, retention, and profitability.
• Analyze VisaNet data to uncover key performance metrics and identify issuer P&L opportunities that drive growth for clients and Visa.
• Deliver business-centric insights through effective data visualization and storytelling that support strategic decision-making.
• Engage with internal and external stakeholders to understand business requirements and translate them into actionable data science solutions.
• Manage multiple data science projects, ensuring clear scope, methodology, and alignment with client goals and timelines.
• Develop and execute analytic plans using appropriate statistical and data mining techniques, while maintaining thorough project documentation.
• Enhance existing solutions by introducing new methodologies, tools, and best practices in the field of data science.
• Automate processes and stay current with emerging tools, software, and techniques to continuously improve efficiency and innovation.

• Permanent right to work in France
• Graduated in 2024 or 2025. Ready to start as early as possible.
• Preferred qualification: graduate/postgraduate degree (Master’s or Ph.D.) from Engineering Schools or in a quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent experience.
• Fluent in French as well as in English.
• Ability to communicate with impact and interest in working in a consulting-like environment and client-facing project roles.
• Familiarity with modern distributed systems, including Hadoop, SQL, MLP, and Apache Spark.
• Familiarity with one or more data analytics/programming tools such as Python.
• Knowledge of applying predictive modelling and machine learning techniques to problems.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Job title

Data Scientist

Paris

We are a global biopharmaceutical company focused on human health. Our purpose is to find treatment to fight pain and ease suffering. We combine breakthrough science and advanced technology to develop life-changing medicines and vaccines.

Digital & Data is at the heart of Sanofi: our ambition is to be the leading digital healthcare platform to develop & deliver medicine faster, enable healthcare professionals to improve treatments and help patients improve their health. Our scale, strong connections within health ecosystems across leveraging the world, and ability to leverage Sanofi’s capabilities make us the best place to push the boundaries of medicine through technology.

We are building Digital R&D products developing outstanding capabilities that will participate in new drug discovery together with scientists, in trial efficiency and cycle time reduction, leveraging Data Analytics and Artificial Intelligence.

We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

• Work with business teams to understand requirements, and translate them into technical needs
• Apply data science expertise in machine learning, statistics, forecasting and optimization to multiple AI projects/products
• Gather/organize large & complex data assets, and perform relevant analysis to propose and implement relevant data models for each business case
• Build models, algorithms, simulations, and experiments by writing highly optimized code and using state-of-the art machine learning technologies
• Work on full-spectrum of activities, from conducting ML experiments to delivering production-ready models
• Use data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI-based data products
• Work with developers, engineers, and MLOps to deliver AI/ML solutions

You are a dynamic data scientist interested in challenging the status quo to ensure development and impact of Sanofi's AI solutions for the patients of tomorrow. You are an influencer and leader who has deployed AI/ML solutions applying state-of-the art algorithms with technically robust lifecycle management. You have a keen eye for improvement opportunities and a demonstrated ability to deliver AI/ML solutions while working across different technologies and in a cross-functional environment.

• Experience developing deployable code and deploying models in product-focused development under an agile environment
• Experience in production-ready software development
• Track record of applying machine learning/deep learning approaches to solve health-related problems
• Experience with content generation using Large Language Models (LLM) is desired
• Experience in a healthcare company is a strong plus

• Excellent written and verbal communication skills
• Experience working with multiple teams to drive alignment and results
• Service-oriented, flexible, positive team player
• Self-motivated, takes initiative
• Problem solving & critical thinking

• Experience with Retrieval-Augmented Generation (RAG)
• Designing and implementing RAG pipelines to enhance LLM capabilities with external knowledge
• Fine-tuning models to combine retrieval results with generative outputs
• Knowledge of Agentic Frameworks
• Building systems where LLMs act as agents capable of reasoning and interacting with APIs/tools
• Familiarity with frameworks like LangChain, or similar agent-driven architectures
• Prompt Engineering and Few-Shot Learning
• Crafting effective prompts for specific tasks, leveraging few-shot and zero-shot paradigms
• Optimizing prompts for performance, clarity, and reduced token consumption
• Familiarity with LLM evaluation frameworks (e.g., OpenAI Evals, custom metrics)
• Natural Language Processing (NLP) Fundamentals
• Understanding of transformer-based architectures (e.g., GPT, BERT, T5)
• Knowledge of tokenization, embeddings, and pre-training/fine-tuning paradigms
• Building NLP pipelines for text classification, summarization, and entity recognition
• Familiarity with Knowledge Graphs and Semantic Search
• Building and integrating knowledge graphs for structured information retrieval
• Leveraging semantic search for improved accuracy in large-scale document understanding

• PhD in mathematics, computer science, engineering, physics, statistics, economics, or a related quantitative discipline with strong coding skills, OR Master’s Degree in relevant domain

• English, French

• We provide a highly collaborative environment, with an opportunity to work with a world class team
• Contribute to a company that is not only a leader in healthcare but also a pioneer in digital transformation, shaping the future of global health
• Bring the miracles of science to life alongside a supportive, future-focused team
• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally
• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact
• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave
• Play an instrumental part in creating best practice within our manufacturing facility

Pursue Progress . Discover Extraordinary.

Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together.

At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

#LI-FRA

#LI-Hybrid

Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

Direct message the job poster from Dataworks

Data Science Researcher – MLLMs

Location: France (Remote or Hybrid in Paris)

A fast-growing AI startup (Series B) in the retail industry is expanding its research capabilities and looking for an experienced Data Science Researcher to push the boundaries of Multimodal Large Language Models (MLLMs) and model reasoning . If you are passionate about LLMs for images (and videos as a plus) and want to work on cutting-edge AI research with real-world impact, this role is for you!

ABOUT THE ROLE

You will join a highly collaborative research and data science team (10+ people) , working closely with the Head of Data and Chief Scientific Officer to explore and advance AI-driven capabilities. Your work will directly contribute to building next-generation AI models for real-world applications.

Your responsibilities will include:

1. Researching and developing new methodologies in MLLMs, model reasoning, and multimodal AI (image & video understanding)
2. Exploring advanced architectures to improve reasoning and interpretability of large-scale models
3. Running experiments, prototyping POCs , and pushing research into production
4. Staying at the cutting edge of AI by keeping up with recent papers, conferences, and best practices in deep learning and LLMs
5. Collaborating with engineers and data scientists to bring research breakthroughs into scalable AI products

SKILLS & EXPERIENCE

1. Master’s or PhD in Computer Science, Machine Learning, AI, Mathematics, or a related field
2. Strong programming skills in Python (PyTorch/TensorFlow experience preferred)
3. Deep understanding of LLMs, MLLMs, and reasoning models (image-focused, video experience is a plus)
4. Experience with data pipelines, model evaluation, and optimization
5. A startup mindset – adaptable, curious, and a great team player!

• Associate

• Full-time

• Information Technology, Engineering, and Science

• Data Infrastructure and Analytics, Technology, Information and Media, and Retail

Referrals increase your chances of interviewing at Dataworks by 2x.

Get notified about new Data Science Researcher jobs in Paris, Île-de-France, France .

About the job

We are a global biopharmaceutical company focused on human health. Our purpose is to find treatment to fight pain and ease suffering. We combine breakthrough science and advanced technology to develop life-changing medicines and vaccines.
Digital & Data is at the heart of Sanofi: our ambition is to be the leading digital healthcare platform to develop & deliver medicine faster, enable healthcare professionals to improve treatments and help patients improve their health. Our scale, strong connections within health ecosystems across leveraging the world, and ability to leverage Sanofi’s capabilities make us the best place to push the boundaries of medicine through technology.
We are building Digital R&D products developing outstanding capabilities that will participate in new drug discovery together with scientists, in trial efficiency and cycle time reduction, leveraging Data Analytics and Artificial Intelligence.

Main responsibilities:

• Work with business teams to understand requirements, and translate them into technical needs

• Apply data science expertise in machine learning, statistics, forecasting and optimization to multiple AI projects/products.

• Gather/organize large & complex data assets, and perform relevant analysis to propose and implement relevant data models for each business case

• Build models, algorithms, simulations, and experiments by writing highly optimized code and using state-of-the art machine learning technologies.

• Work on full-spectrum of activities, from conducting ML experiments to delivering production-ready models.

• Use data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI-based data products.

• Work with developers, engineers, and MLOps to deliver AI/ML solutions.

You are a dynamic data scientist interested in challenging the status quo to ensure development and impact of Sanofi's AI solutions for the patients of tomorrow. You are an influencer and leader who has deployed AI/ML solutions applying state-of-the art algorithms with technically robust lifecycle management. You have a keen eye for improvement opportunities and a demonstrated ability to deliver AI/ML solutions while working across different technologies and in a cross-functional environment.

About you

Experience:

• Experience developing deployable code and deploying models in product-focused development under an agile environment.

• Experience in production-ready software development

• Track record of applying machine learning/ deep learning approaches to solve health-related problems.

• Experience with content generation using Large Language Models (LLM) is desired.

• Experience in a healthcare company is a strong plus

Soft skills :

• Excellent written and verbal communication skills

• Experience working with multiple teams to drive alignment and results

• Service-oriented, flexible, positive team player

• Self-motivated, takes initiative

• Problem solving & critical thinking

Technical skills :

• Experience with Retrieval-Augmented Generation (RAG)

• Designing and implementing RAG pipelines to enhance LLM capabilities with external knowledge.

• Fine-tuning models to combine retrieval results with generative outputs.

• Knowledge of Agentic Frameworks

• Building systems where LLMs act as agents capable of reasoning and interacting with APIs/tools.

• Familiarity with frameworks like LangChain, or similar agent-driven architectures.

• Prompt Engineering and Few-Shot Learning

• Crafting effective prompts for specific tasks, leveraging few-shot and zero-shot paradigms.

• Optimizing prompts for performance, clarity, and reduced token consumption.

• Familiarity with LLM evaluation frameworks (e.g., OpenAI Evals, custom metrics).

• Natural Language Processing (NLP) Fundamentals

• Understanding of transformer-based architectures (e.g., GPT, BERT, T5).

• Knowledge of tokenization, embeddings, and pre-training/fine-tuning paradigms.

• Building NLP pipelines for text classification, summarization, and entity recognition.

• Familiarity with Knowledge Graphs and Semantic Search

• Building and integrating knowledge graphs for structured information retrieval.

• Leveraging semantic search for improved accuracy in large-scale document understanding.

Education :

• PhD in mathematics, computer science, engineering, physics, statistics, economics, or a related quantitative discipline with strong coding skills, OR Master’s Degree in relevant domain

Languages : English, French

Why choose us?

• We provide a highly collaborative environment, with an opportunity to work with a world class team.

• Contribute to a company that is not only a leader in healthcare but also a pioneer in digital transformation, shaping the future of global health.

• Bring the miracles of science to life alongside a supportive, future-focused team.

• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.

• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.

• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.

• Play an instrumental part in creating best practice within our manufacturing facility

Pursue Progress . Discover Extraordinary .
Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together.At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com !

A software development company is looking for a talented, long-term Lead DS Researcher. 

The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services. 

We’re looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team. You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.

This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.

What we’re looking for:

• Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;

• Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);

• Solid experience with deep learning frameworks like PyTorch or TensorFlow;

• Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;

• Familiarity with medical or life science data is a strong plus;

• Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;

• Comfortable working in Google Cloud Platform (GCP) environments.

Bonus points for experience with:

• State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;

• Experience with pipeline orchestration tools like Airflow, Argo, etc.;

• Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;

• Intermediate+ English — ability to participate in written discussions with international teams and clients.

Benefits: 

• Join a mission-driven team working at the intersection of data, medicine, and impact;

• Work on meaningful challenges with long-term value for public health and healthcare quality;

• Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;

• Fully remote-friendly setup with flexibility and trust at the core.