Data Scientist | Machine Learning Engineer - Practice IA MARGO

meilleurtaux is looking for an Experienced Data Scientist / AI Engineer to join the Paris office. The focus is on applying data science and AI skills to real-world challenges, aiming to make a direct impact on customer experiences by transforming data into useful insights. Main responsibilities Collaborate with team members to design and improve AI-powered t…

Eurofins Scientific is seeking an AI Engineer & Data Scientist intern to join the team in Paris. This internship offers the chance to contribute to projects that use artificial intelligence and data science to address challenges across multiple sectors. What you will do Work alongside experienced professionals on real-world assignments Participate in data collection and preparation Support the development of machine learning models Help implement analytical solutions for ongoing projects Learning opportunities Gain hands-on experience in data analysis and AI applications Collaborate with a multidisciplinary team Develop practical skills in model development and deployment This role is based in Paris and focuses on practical work in artificial intelligence and data science within a collaborative environment.

About Us At lemlist, we are dedicated to revolutionizing sales engagement. Our platform empowers sales teams with innovative tools and insights, providing them with the competitive edge they need to succeed.Having achieved remarkable growth from a startup to a profitable B2B SaaS company with a valuation of $150M and an ARR of $35M within just 6 years, we are proud to support over 40,000 sales teams globally in booking more meetings and closing more deals.We are on the lookout for a talented Data Scientist / AI Engineer to join our dynamic team. In this role, you will be instrumental in identifying and implementing AI use cases that significantly impact our product and business, collaborating closely with our Product and Engineering teams.Your Key Responsibilities:Explore and identify opportunities for AI innovation within our product, propose actionable use cases, and take ownership from concept to deployment.Design, develop, and maintain systems based on Large Language Models (LLMs), including prompt engineering, orchestration, retrieval pipelines, and evaluation frameworks.Deploy and manage AI models and infrastructure, overseeing GPU server management and model serving.Design, train, evaluate, and maintain production Machine Learning models.Provide data-driven insights to support our business and product teams.Expected Outcomes:Within 3 months, you will have:Integrated successfully into the team.Gained a comprehensive understanding of our product, data, and existing AI systems.Conducted an audit of our LLM systems and ML models, identifying quick wins and areas for improvement.Delivered your first AI use case from start to finish in production.Established or enhanced evaluation frameworks for at least one existing LLM system.Within 12 months, you will have:Implemented multiple impactful AI use cases that measurably enhance our product.Developed a robust evaluation and observability layer for various LLM systems in production.Significantly advanced the AI culture within lemlist.Provided strategic insights to C-level executives (CEO, CPO, CMO, Head of Sales…).

Role OverviewJoin our innovative team at Mistral in the heart of Paris as a Data Scientist. In this pivotal role, you will collaborate closely with product management, research, and engineering teams to analyze user behaviors, enhance product performance, and develop data-driven features aimed at advancing our cutting-edge AI product suite.We are looking for individuals who thrive in fast-paced, dynamic environments and enjoy solving complex problems. This is an exciting opportunity for those who wish to directly influence our product roadmap. The successful candidate will possess a robust background in data analysis, statistical modeling, and machine learning, with a track record of achieving exceptional results in high-pressure situations.If you're passionate about data, enthusiastic about AI, and ready to make a substantial impact on our data science strategy, we invite you to apply.Key Responsibilities• Define essential metrics, thoroughly assess the performance of our AI offerings, and pinpoint areas for enhancement.• Design and conduct experiments (A/B tests, causal inference) to validate hypotheses and inform product strategies.• Spearhead end-to-end data science projects, encompassing data collection, preprocessing, model development, evaluation, and deployment.• Assess model performance in both training and production environments, identifying edge cases and creating frameworks to gauge user satisfaction.• Collaborate with engineering teams to ensure the integrity and accessibility of data for analytics and machine learning applications.• Depending on your level of expertise, mentor colleagues and disseminate best practices in data science and analytics.Candidate ProfileEssential Qualifications:• A minimum of 2 years of professional experience as a Data Scientist.• A Master's or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.• Proficiency in Python and SQL.• A strong technical aptitude complemented by excellent communication skills.

Join Talan as a Senior Consultant Data Scientist specializing in AI and Generative AI. You will play a crucial role in designing and implementing data-driven solutions to drive innovation and efficiency within various business sectors. Your expertise will be instrumental in leveraging advanced analytics and machine learning techniques to solve complex problems.

Who are we?At MARGO, our consultants focus on what truly matters: complex projects that merge intellectual challenges with real business impact.That’s why we support leading players in finance, industry, and technology on their most strategic initiatives in Data Science, Machine Learning, and Artificial Intelligence.Why join the AI practice?You will be part of a team guided by Hamza Bouanani, Practice Manager of AI at MARGO, who is also the Lead Data Scientist at BNP Paribas.Working alongside him means joining a team of passionate experts, being technically and methodologically challenged, and contributing to high-impact projects for our clients.Your MissionsWe are currently looking for a Lead Data Scientist for an investment bank:- You will be part of an international team of 80 individuals (Paris & Portugal) comprising data engineers, front-end and back-end developers, data scientists, and AI engineers, collaborating on ambitious and varied projects.- You will lead and contribute to major projects for the investment bank, including:- Implementation of AI / Generative AI / LLM / Machine Learning across various banking domains;- Flagship project: creation of an internal translation engine, utilized by 60,000 users;- Setup and industrialization of LLM;- Analysis of ESG data and development of a web interface to advise on sustainable behaviors;- Mentoring and coaching data scientists and AI engineers;- Collaboration with front-end, back-end, and data engineering teams to ensure the industrialization and quality of models.Profile RequiredWe seek demanding engineers and data scientists, passionate about AI and eager to evolve in complex environments.- Master's degree (engineering school, university, PhD appreciated);- Strong skills in Python and ML/DL libraries (scikit-learn, TensorFlow, PyTorch, XGBoost, etc.);- Initial experience in Data Science, Machine Learning, ideally in NLP / Generative AI;- Ability to lead teams and oversee complex technical projects;- Strong interest in demanding environments where quality is prioritized over quantity;- Analytical mindset, sense of challenge, and a taste for high-value projects.What We Offer

Role Overview Rexel is looking for an Experienced Data Scientist (CDI) to join the team in Paris. This role focuses on turning complex data into practical business strategies that shape company decisions. The position supports efforts to optimize operations and improve customer experiences across the organization. What You Will Do Analyze large and varied data sets to uncover actionable insights Develop predictive models to support business objectives Work closely with colleagues from different departments to implement data-driven solutions for real business challenges Mentor junior team members and share expertise to strengthen the data science practice Location This position is based in Paris.

About Mistral AIAt Mistral AI, we harness the transformative power of artificial intelligence to streamline processes, optimize time management, and elevate both learning and creativity. Our innovative technologies are thoughtfully crafted to integrate effortlessly into everyday workflows. We are committed to democratizing AI by offering high-performance, state-of-the-art, open-source models and solutions. Our robust AI platform addresses the diverse needs of enterprises, whether deployed on-premises or through cloud solutions. Among our key offerings is 'le Chat', an AI assistant designed to enhance both personal and professional life. As a vibrant and collaborative team, we are driven by a shared passion for AI and its potential to reshape our world. Our diverse workforce thrives in competitive settings and is devoted to fostering innovation. We have teams located across France, the USA, the UK, Germany, and Singapore, embodying creativity and a team-oriented ethos. Join us at the forefront of AI development and help shape the future. Together, we can create a significant impact. To learn more about our culture, visit us at https://mistral.ai/careers.About the PositionMistral AI is actively seeking Applied Scientists with profound expertise in engineering sciences to explore the cutting-edge realm of AI-accelerated simulation. In this role, you will collaborate with industrial partners and our internal research teams to develop and implement AI Physics Models, complementing our existing suite of Large Language Models (LLMs).As a key contributor across the entire development stack, your responsibilities will include curating high-fidelity simulation datasets, training and assessing models, and delivering production-grade AI solutions directly to engineering teams. Areas of focus encompass computational fluid dynamics, structural mechanics, semiconductor design, multi-physics modeling, and digital twins.You will work collaboratively with research, product, and customer-facing teams to ensure that our models not only meet engineering standards but excel beyond mere benchmark metrics.Your Responsibilities• Design and execute large-scale simulation campaigns utilizing domain-specific solvers (e.g., OpenFOAM, ANSYS, COMSOL, Abaqus).• Train AI models on physics data, conducting thorough evaluations of coverage, accuracy, and quality against industry validation benchmarks.• Create tools and frameworks for automated dataset generation, simulation pipeline management, and model evaluation.• Develop agents and retrieval-augmented generation (RAG) systems that integrate LLMs with engineering simulation workflows.• Collaborate closely with the research team during training runs and troubleshoot any issues related to data gaps or architectural limitations.• Oversee research projects and maintain communications with engineering teams.Your Profile• Proficient in English with outstanding communication skills - capable of articulating technical simulation concepts to both engineering and non-engineering stakeholders.

About TeadsTeads is a premier omnichannel advertising platform dedicated to delivering exceptional outcomes for brand and performance advertisers across various screens. Our commitment to achieving meaningful business outcomes for branding and performance objectives is realized through the application of predictive AI technology, which connects high-quality media, stunning brand creative, and contextually-driven addressability and measurement. We proudly partner with over 10,000 publishers and 20,000 advertisers worldwide. Headquartered in New York City, Teads boasts a diverse global workforce of approximately 1,700 employees across more than 30 countries.To learn more, visit www.teads.com.Our Engineering Challenges at TeadsDevelop efficient and user-friendly web products utilized by countless users representing the world’s leading publishers, advertisers, and agencies.Diverse tech stack and system architecture to enhance performance, scalability, resilience, and cost-effectiveness. Our primary technologies include Scala and TypeScript, among others.High-traffic environment (2.2 billion users per month, 100 billion events daily) with stringent low latency and high availability requirements (2 million requests/second, responses in under 150 milliseconds).Management of extensive datasets with millisecond-level access times to execute a near real-time complex auction resolution algorithm (18 million predictions per second).Dynamic environment where we continuously collaborate with product teams and adapt our Cloud infrastructure to support new features and enhancements.

Nūmi is an innovative bioproduction platform utilizing human mammary cells to create essential ingredients with scientifically validated health benefits throughout all stages of life. Specifically, we are the pioneering European cultivated breast milk company, focused on generating human milk components that closely align with optimal nutrition for infants! As a dynamic early-stage startup, we are on a mission to transform how we nourish the next generation. If you're looking to be part of a rapidly growing, venture capital-backed biotech startup, Nūmi could be your next great opportunity!Situated in the heart of Paris (Hôpital Cochin, Paris 14), Nūmi is supported by esteemed international investors, leading scientists, and prominent academic institutions.Our Culture & Values Positivity: We foster a positive environment at Nūmi, where our mission encourages passionate and energetic communication, always keeping our larger impact in focus. We celebrate small victories but remain committed to our ultimate goals.Excellence: At Nūmi, we define excellence through dedication and a continuous improvement mindset. We view challenges as opportunities to learn and strive for high-quality outcomes. Our growth is driven by effort, attention to detail, and integrity, both as individuals and as a team.Teamwork and Pedagogy: We believe that collaboration strengthens us at Nūmi. We promote knowledge sharing, constructive feedback, and mutual respect, ensuring that every team member contributes to our collective success.Ambition: We set bold goals and encourage expansive thinking at Nūmi. Driven by innovative ideas and determination, we aim high to create meaningful change.Why This Role MattersIn our work at Nūmi, the capacity to identify “golden” cell lines, batches, and conditions relies heavily on our ability to effectively collect, organize, and leverage our data, rather than merely increasing the volume of experiments.Currently, our experimental data encompasses:Electronic Lab Notebook (ELN) entriesSpreadsheetsBioreactor and equipment outputsAnalytical and Quality Control (QC) readoutsThis position is essential for transforming our fragmented data landscape into a cohesive, reliable, and actionable data layer that empowers R&D, informs scale-up decisions, and supports regulatory and industrialization initiatives.As a Lead Data Scientist, you will be a pivotal contributor to advancing scientific progress at Nūmi.Your ResponsibilitiesEstablish Nūmi’s Scientific Data InfrastructureOversee the development of scalable data models and ontologies that accurately reflect experimental workflows, metadata standards, and the scientific landscape.Facilitate the harmonization and integration of data across ELNs, spreadsheets, instruments, assays, and analytical systems into a centralized, user-friendly platform.

About BlaBlaCarBlaBlaCar stands as the world's foremost community-driven travel application, connecting 27 million members annually for carpooling and bus journeys across 21 countries. Our diverse team of 800 employees hails from over 50 nationalities, operating from five global offices, with 30% working remotely.Your RoleWe are on the lookout for a motivated and dynamic Junior Data Scientist to join our Community Relations Team (CR Team). In this role, you will be instrumental in developing intelligent systems that empower our agents to provide exemplary support to our vast community of BlaBlaCar users. Your responsibilities will include:Innovate within the CR ecosystem: Craft and implement advanced machine learning models that enhance our processes, ensuring our members feel heard and receive timely support tailored to their needs.Boost trust and operational efficiency on the platform: Design smart automation solutions for real-time fraud detection, AI-driven content moderation, and utilize generative AI for seamless translations and customer support enhancement.Facilitate data-driven decision-making: Develop impactful data products and applications that yield actionable insights, directly contributing to BlaBlaCar's success.Lead the charge with generative AI: Investigate and apply innovative generative AI applications to improve internal efficiency, automate essential tasks, and democratize data access throughout the organization.Your ResponsibilitiesBuild and deploy ML models: Design, construct, and launch machine learning models into production, collaborating with fellow Data Scientists and ML Engineers to enhance our marketplace functionalities (e.g., matching, ETA).Automate internal functions: Develop smart solutions for real-time fraud detection, employ deep learning for profile image moderation, and leverage large language models for text moderation and generative AI tasks like translation.Contribute to generative AI advancements: Proactively identify, prototype, and implement generative AI solutions to boost employee productivity and automate critical operational workflows.Embrace growth: Be open to mentorship and learning, bringing enthusiasm and fresh perspectives to our team.Collaborate within a comprehensive data team: Engage with our autonomous data team to drive impactful outcomes.

Join our team as a Data Scientist and play a key role in managing and optimizing Large Language Models (LLMs) for AI safety.About UsWhite Circle is a pioneering AI Safety company dedicated to enhancing the safety, reliability, and efficiency of AI systems. Our platform is built on policies—clear natural language rules that dictate the appropriate conduct of AI models. We automate the testing, enforcement, and continuous enhancement of these policies at scale.We have secured $11 million in funding from leading investors, including founders and senior leaders from OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others.Our operations handle over 100 million API calls each month.We specialize in fine-tuning and training our own LLMs, enabling them to operate faster and at a lower cost than any available model.As a compact and dedicated team, we offer an environment where you can tackle complex challenges, expedite your work into production, and substantially influence the development of AI safety.Your Role:Transform vast amounts of unstructured text into a structured and navigable format (including topics, clusters, segments, trends, and anomalies), moving from “unknown unknowns” to stable definitions for tracking.Develop scalable representation pipelines: including sampling strategies, preprocessing/normalization, embeddings at scale, indexing, and retrieval, making the corpus searchable and analyzable.Utilize LLMs in practical applications: implementing labeling/classification, weak supervision, data enrichment, summarization, and automated diagnostics of incoming volumes, with cost and quality controls in place.Provide actionable insights that inform decisions: convert your findings into product and operational strategies (identifying available data, gaps, quality issues, and prioritization).Create self-service analytics resources: develop datasets, data models, and user-friendly tools/dashboards to enable team members to explore and address inquiries independently.Collaborate closely with engineering and research teams: ensure alignment of pipelines with production constraints (including latency, cost, and privacy) and integrate outputs into existing workflows.You Will Thrive If You:Possess strong skills in Python and SQL, with an engineering mindset capable of building reliable pipelines rather than just notebooks.Have practical experience in applied NLP/ML on real-world text: including embeddings, clustering, and model training.

About UsAt MARGO, our consultants engage in what truly matters: complex projects that merge intellectual challenge with real business impact. We support leading players in finance, industry, and technology on their most strategic endeavors in Data Science, Machine Learning, and Artificial Intelligence.Why Join the AI Practice?You will be part of a team led by Hamza Bouanani, Practice Manager of AI at MARGO and Lead Data Scientist at BNP Paribas. Working alongside him means joining a passionate team of experts, being technically and methodologically challenged, and contributing to high-impact projects for our clients.Your ResponsibilitiesWe are currently seeking a Data Scientist for a prominent French industrial group. Your role will involve multiple projects:- Pricing Project* Scale price optimization* Estimating the impact of price variations and providing recommendations to maximize group sales and margins* Optimizing prices in line with business constraints through direct interaction with various departments* Participation in production implementation- Customer Segmentation Project* Enhancing data quality to optimize marketing campaign targeting* Developing simple, robust, and efficient classification and regression models- Recommendations* Defining and implementing targeted discounts to retain customers* Creating decision support tools for sales personnel, integrating recommendations on clients and products* Collaborating closely with departments to assess the impact and ROI of recommendations- Your role will also include:* Needs assessment and definition phase with end users* R&D phase: data analysis, testing, and development of effective models* Validation with departments and production implementation with data engineering teams* Monitoring and following up on models via Databricks dashboards.

Who Are We?At MARGO, our consultants focus on what truly matters: complex projects that blend intellectual challenge with tangible business impact.We support leading players in finance, industry, and tech on their most strategic endeavors in Data Science, Machine Learning, and Artificial Intelligence.Why Join the AI Practice?You will be part of a team led by Hamza Bouanani, Practice Manager of AI at MARGO, who is also the Lead Data Scientist at BNP Paribas.Working alongside him means joining a passionate group of experts, facing technical and methodological challenges, and contributing to high-impact projects for our clients.Your ResponsibilitiesWe are currently seeking a Data Scientist for a major French industrial group to contribute to a strategic marketing optimization project.Your responsibilities will include:- Development and deployment of Marketing Mix Modeling (MMM) models leveraging large volumes of marketing data (TV, digital, social media, brand experiences, etc.) to measure the impact of investments on sales and brand valuation;- Delivering large-scale models across strategic markets, integrating complex and heterogeneous environments;- Calculating and monitoring key performance indicators such as ROS (Return on Spend) and ROI (Return on Investment) by channel and brand;- Direct interaction with marketing teams to provide recommendations on optimal budget allocation;- Participating in the evolution of code and methodologies in future data migrations;- Contributing to new projects around generative AI applied to marketing content creation.Technical EnvironmentInfrastructure: AzureData Preparation: PySpark, Databricks, SnowflakeML Development: Python (VS Code), AzureMLDevelopment Tools: Git (Azure DevOps), Postman, StreamlitDocumentation: NotionMethodology: Agile / ScrumDesired ProfileWe seek demanding engineers and data scientists passionate about AI and eager to thrive in complex environments.- Education: Master’s degree (engineering school, university, PhD preferred);- Experience in Data Science applied to business challenges (preferably in marketing, pricing, budget allocation, etc.);- Strong analytical and problem-solving skills;- Proficient in programming languages and statistical tools;- Team player with excellent communication skills.

Join Veepee as a Senior Data Scientist and play a pivotal role in enhancing our innovative recommender systems. Work with a talented team across Paris, Lyon, Barcelona, and Brussels to develop cutting-edge algorithms that deliver personalized sales recommendations to millions of users in real-time. Utilize large-scale behavioral and product data to create models that drive engagement and conversion, collaborating closely with ML and Data Engineers to bring your ideas to life.

About MistralAt Mistral, we are dedicated to democratizing artificial intelligence, creating groundbreaking intelligence solutions accessible to everyone, developed transparently, and crafted by engineers across the globe.We boast a dynamic, collaborative team driven by a shared passion for AI and its transformative potential for society. Our diverse workforce excels in competitive settings, committed to fostering innovation, with teams spread across Europe, the USA, and Asia. We value creativity, humility, and a strong team spirit.At Mistral, we design models tailored for enterprises and consumers alike, focusing on systems that revolutionize business operations and seamlessly integrate into daily life. We are proud to release cutting-edge models as open-source, encouraging everyone to explore and benefit from them.Mistral is on the lookout for experts in training large language models and distributed systems. Join us and be part of a pioneering organization that is shaping the future of AI.Key Responsibilities* Research and innovate novel AI methodologies for general-purpose mobile manipulation robotics.* Develop tooling and infrastructure for the training, evaluation, and analysis of AI models at scale.* Collaborate cross-functionally with fellow scientists, engineers, and product teams to implement AI systems on real robotic platforms.Ideal Candidate Profile* Proven experience in building and deploying AI systems on physical robots or in developing large-scale vision-language models.* Proficient software engineer in at least one programming language, preferably Python.* Hands-on experience with AI frameworks, ideally PyTorch.* Strong engineering skills, capable of designing complex software and ensuring its usability in production environments.* Self-motivated, autonomous, and a collaborative team player.Preferred Qualifications* Experience in navigation, manipulation, simulators, 3D modeling, embodied reasoning, or vision-language-action models.* Familiarity with the complete MLOps stack, including fine-tuning, evaluation, and deployment processes.

Join Back Market as a Senior Data Scientist in our AI Core team, where you will play a crucial role in shaping the future of technology in the refurbished electronics market. In this position, you will leverage your expertise in data science to develop innovative AI solutions that enhance our platform's capabilities and improve user experience.Your responsibilities will include analyzing complex datasets, building predictive models, and collaborating with cross-functional teams to drive data-driven decision-making. You will also have the opportunity to mentor junior data scientists and contribute to the overall growth of our data science capabilities.

Join Talan as a Data Scientist and take the next step in your career! We are looking for a passionate individual who loves to extract insights from data and is eager to tackle complex challenges. In this role, you will collaborate with cross-functional teams to develop innovative data-driven solutions that impact our business strategies. If you are enthusiastic about utilizing machine learning and statistical analysis to drive business decisions, we want to hear from you!

Join our dynamic team at Gorgias as a Data Scientist specializing in Large Language Models (LLM). In this role, you will harness the power of data to drive insights and innovations, collaborating with cross-functional teams to enhance our products and services. Your expertise will be pivotal in analyzing complex datasets and developing predictive models that will shape the future of our technology.