49 Emplois pour Science Des Données - France

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.

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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.

Overview

The Data Science team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection, error outliers and faulty deployment analysis. As a Software Engineer on the Data Science team, you will design, build and scale the backend systems that power our growing suite of Watchdog products. You will be working on large-scale distributed systems, horizontally-scalable datastores and a variety of data-processing frameworks to build our next-generation platform and capabilities for Data Science at Datadog.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

• Build common services and components encapsulating data science capabilities for other products and teams to leverage
• Enable new capabilities for our core products by integrating and preprocessing data from tens of sources and preparing it for incorporation into data science models
• Ensure that our data science-driven features continue to scale well as Datadog adds more customers and ingests more data per customer
• Leverage modern tools and frameworks to improve the performance and cost-efficiency of data science services
• Join an amazing team of data scientists and software engineers building a product that our customers love to use
• Work all over the stack, moving fluidly between programming languages and technologies

• You have experience working in Python, Java, Scala or Go
• You have experience working with microservices and/or distributed systems
• You value simplicity and getting the right things done
• (Senior Level) You have built high-volume data pipelines
• (Senior Level) You have expertise in Python, Go or Scala and are familiar with Spark or Flink

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

• Competitive global benefits
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris
• Opportunity to attend and present at conferences and meetups
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.