119 Emplois pour Science Des Données - France

Join us and celebrate the beauty of human experience. Create for happier, healthier lives, with love for nature. Together, with passion and imagination, we deliver food innovations, craft inspired fragrances and develop beauty and wellbeing solutions. There’s much to learn and many to learn from, with more than 16,800 employees around the world to explore ideas and ambitions with.
In France, discover the empowered passionate professionals who made history creating our legendary perfumery school. Feel the heritage. Acquire knowledge and experience, gained in our renowned European Creation Centre, or from any of our 17 innovative sites across the country. Every day, your commitment, your humility, and your risk-taking will shape our future. Every essence of you enriches our world. We are Givaudan. Human by nature.

Data Science Manager - your future role?

As a Data Science Manager in Argenteuil or Paris (France), you will facilitate the development, and performance of scalable Artificial Intelligence and Machine Learning models, the definition and improvement of the Data Science methodologies, building the Data Science Team & Talent network across the Group.

You will report to the Head of Data & Analytics.

You will:

Define and maintain the Data Science vision

Set processes and governance for the centralized Data Science team

Support and review value case definition of opportunities for Data Science

Team, Portfolio, and Resource Management for Data Science

Ensure the right infrastructure and technology stacks to build and deploy efficient models

Oversee end-to-end solution delivery affecting Data Science

Define a vision and a roadmap for the data science team with the company leadership team

Collaborate with other managers to translate Business strategy into an IT strategy

Ensure agreement of projects and roadmap prioritisation across teams

Provide inputs to the Head of D&A and Architects on Market and Technology trends and best practices to give as input to the strategy process

Ensure value-based decisions are taken through the Information System delivery process and platform evolution, and considering systematic global impacts

Leadership

Lead the team to the execution of vision and roadmap

Provide technical leadership and mentorship to data scientists with multiple backgrounds

Ensure, on an ongoing basis, that current and planned architecture, investments, and solutions are aligned with IM&T goals

Provide budget forecast to match the validated strategic roadmap goals at DS level

Ensure transparency and collaboration across teams

Promote the DS solutions landscape to Business and IT

Promote the data science practice inside the company to increase visibility

Manage internally the DS portfolio (assignment, selection and classification, contribution to value case, and other portfolio activities) and ensure partners are involved in DS portfolio definition

Communicate with all IT partners the necessary information about the portfolio

Support other Managers in building, and communicating their portfolios for products including or using DS solutions

Solution Delivery Management

Maintain oversight of all programs led or contributed by the team, ensuring that DS resource commitments are planned, staffed, monitored, and reported; ensure nomination and availability of business resources in projects (main users)

Collaborate with the team to analyse new demands, provide inputs on new solutions and project estimates, highlight dependencies and constraints on DS

Participate in cross-IT potential solutions definition; identify products impacted by projects or new product needs

Mitigate any risk linked to solutions and resources during project execution

Ensure resources follow best practices, methodologies, frameworks, and policies (information security included)

Manage direct reports and their respective activities, ensuring HR global processes are followed.

Your professional background includes:

Master's degree in computer science with Data Science or mathematics or statistics specialisation

10+ years working in the Information technology arena.

5+ years of experience managing team dynamics, building team relationships, mentoring team members, and delivering feedback

3+ years in AI/ML environments

Experience in an Agile environment

Deliver machine learning products in a corporate environment

Exhibit skills in leading efforts involving the coordination of resources and goals across multiple related projects

Exposure and understanding of existing and latest technologies, and processing environments

Experience with new approaches and methodologies (Design Thinking, Design Sprints and UX design)

The ability to collaborate in a matrix environment and influence teams without formal authority

: Curious and interested in Digital and Information Technologies

Fluent in English. Additional language

Annual salary on 13.5 months

Health Insurance

Bonus Payment

Saving Plan

25 + 15 days off

50% refund for public transport subscription

Canteen

Home office

Givaudan embraces diversity and is committed to building an inclusive environment where everyone impacts our world.

At Givaudan, you contribute to delightful taste and scent experiences that touch people’s lives.
You work within an inspiring teamwork culture – where you can thrive, collaborate and learn from other talented and passionate people across disciplines, regions and divisions.
Every essence of you enriches our world.
Diversity drives innovation and creates closer connections with our employees, customers and partners.
Givaudan embraces diversity and is committed to building an inclusive environment where everyone impacts our world.

Givaudan is a Swiss multinational manufacturer of flavours, fragrances and active cosmetic ingredients.

Talentify is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Talentify provides reasonable accommodations to qualified applicants with disabilities, including disabled veterans. Request assistance at or 407-000-000.

Federal law requires every new hire to complete Form I-9 and present proof of identity and U.S. work eligibility.

An Automated Employment Decision Tool (AEDT) will score your job-related skills and responses. Bias-audit & data-use details: . NYC applicants may request an alternative process or accommodation at or 407-000-000.

DNA Script is a leading company in the production of nucleic acids for genomic, synthetic biology and biopharmaceutical applications.

Our clean, efficient Enzymatic DNA Synthesis (EDS) technology, implemented on a benchtop instrument (the SYNTAX), accelerates innovation in life science and biotechnology through the decentralization of rapid, on demand and high quality DNA synthesis.

Our approach builds upon nature's billions of years of evolution in enzymatically synthesizing DNA, setting new standards for assembling nucleic acids to accelerate scientific discovery and DNA/RNA production in disciplines with profound impacts upon humanity.

DNA Script has a broad stable of high quality investors and is capitalized to continue its progress to full commercialization of the technology and products. We are building a global organization, with the talent, skills and attitude to achieve our mission: to unlock the power of “DNA-write”.

This is an opportunity for a dynamic individual to join an international and highly skilled team, and to make significant contributions to commercializing a technology with far-reaching potential across the biological sciences and beyond.

Location: Paris, France (Hybrid) | Team: Software Engineering | Type: Full-time

At DNA Script , we’re reimagining how DNA is made — faster, cleaner, and smarter. As a Data Science Engineer , you'll turn complex scientific data into real-time insights that help our teams innovate in synthetic biology, genomics, and diagnostics.

If you're passionate about machine learning, data infrastructure, and scientific discovery, this is your chance to shape the future of biotech.

• Analyze data from DNA printers & R&D workflows
• Build machine learning & deep learning models
• Design and scale data pipelines
• Define and evolve our company-wide data model
• Help bring our AI strategy to life
• Partner with scientists and engineers to solve real-world problems

Degree (Master or PhD) in Data Science, Computer Science, or a related field
Strong Python skills (Jupyter, Pandas, Flask, Dash, etc.)
Hands-on experience with ML models & data wrangling
Excellent communication — you translate between tech & science with ease
Proactive mindset, eager to learn and collaborate
Bonus: Power BI or BI tools experience
Fluent English required

• Work at the cutting edge of synthetic biology and AI
• Grow in a fast-moving, impact-driven startup
• Join a diverse, international team of innovators
• Flexible hybrid work & supportive culture

Whether you're a data scientist ready for a new challenge or a curious engineer looking to apply your skills in life sciences — we want to hear from you.

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DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies , including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role:

DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned editor or creator within the data and AI space with proven experience in creating, editing, and delivering written or video-based technical data and AI tutorials. You’ll be responsible for working with a network of freelance creators to scale DataCamp’s blog and YouTube channels.

You will collaborate closely with a team of editors, marketers, data evangelists, product marketing managers, SEO experts, and the broader commercial marketing team to drive organic traffic via our blog and tutorial pages. Through these efforts, you will help amplify and share free and valuable educational content for DataCamp’s audience of learners and data practitioners.

We’re excited about you because you have the following:

• You have a strong understanding of data science, AI, cloud, or/and data engineering and can write on technical subjects in the data space yourself. You can provide multiple relevant examples of your writing and/or editing work.
• Detailed knowledge of at least one programming language (Python, R, SQL, etc.) or Business Intelligence tool (Tableau, Power BI, etc.)
• You score yourself in the top 5% regarding attention to detail. Typos and incorrect grammar are your worst enemies.
• You can effectively use AI tools for content creation and workflow automation — without sacrificing truthfulness and quality.

If that sounds like you, we’d love to meet you.

We’re even more excited about you if you have the following:

• Previous experience as a data scientist, developer, or technical expert.
• Demonstrable experience delivering meaningful organic growth via editorial content.
• Knowledge of SEO best practices and how they are evolving.

Responsibilities:

This is an individual contributor role—you will be expected to recruit, lead, and grow our stable of expert freelancers, manage contracts and payments, assign them technical content, edit their work, and more. Here is what your day-to-day will look like:

• Deliver high-quality written and video-based tutorials on data science, AI, analytics, business intelligence, data engineering, cloud, and more.
• Write content briefs that guide freelancers to create content that provides value for DataCamp’s community of learners.
• Recruit and manage freelance creators & experts from the data science, AI, analytics, business intelligence, data engineering, and cloud communities.
• Edit the work of freelancers and ensure that content is ready to be published in a timely manner.
• Combine SEO keyword analysis with a deep understanding of the data and AI space to iterate and improve the content we create.
• Your targets for 2025 are maintaining a robust editorial calendar, delivering 25 new articles and 4 new videos per month , while ensuring freelancers adhere to quality standards and deadlines.

Why Datacamp?

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:

• Exciting Challenges – Tackle some of the most important educational challenges in Data & AI.
• Competitive Compensation – We offer a competitive salary with attractive benefits.
• Work Flexibility – Benefit from flexible working hours and a remote-friendly culture.
• Professional Growth – Access to a yearly learning & development budget.
• Global Culture – Join a team that values international collaboration and retreats.
• Tools & Setup – Receive an annual IT equipment budget to refresh your workspace.

Our competitive compensation package offers additional benefits. On top of your salary you will also receive extra legal benefits such as best-in-class medical insurance including dental and vision. Depending on your location additional benefits might be available to you.

At DataCamp, we value diverse experiences and perspectives. If you’re excited about this role but don't meet every qualification, we still encourage you to apply. We believe skills can be developed and are committed to fostering an inclusive workplace where everyone can thrive. Your unique talents and perspectives are what make our team great!

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Please share one or more examples of technical content you have written (e.g. in data science, AI, cloud, or data engineering). Provide link(s) below. *

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 90+ 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 sa fonction 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. Responsabilités clés (missions)

1. 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.
2. 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.).
3. 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.
4. 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.

• 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
  

• 1er échange avec notre équipe Talent Acquisition
• Entretien avec ton futur manager
  
• A définir selon le poste

Join to apply for the Engineer, Data Science role at DNA Script

Join to apply for the Engineer, Data Science role at DNA Script

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DNA Script

DNA Script is a leading company in the production of nucleic acids for genomic, synthetic biology and biopharmaceutical applications.

DNA Script

DNA Script is a leading company in the production of nucleic acids for genomic, synthetic biology and biopharmaceutical applications.

Our clean, efficient Enzymatic DNA Synthesis (EDS) technology, implemented on a benchtop instrument (the SYNTAX), accelerates innovation in life science and biotechnology through the decentralization of rapid, on demand and high quality DNA synthesis.

Our approach builds upon nature's billions of years of evolution in enzymatically synthesizing DNA, setting new standards for assembling nucleic acids to accelerate scientific discovery and DNA/RNA production in disciplines with profound impacts upon humanity.

DNA Script has a broad stable of high quality investors and is capitalized to continue its progress to full commercialization of the technology and products. We are building a global organization, with the talent, skills and attitude to achieve our mission: to unlock the power of “DNA-write”.

This is an opportunity for a dynamic individual to join an international and highly skilled team, and to make significant contributions to commercializing a technology with far-reaching potential across the biological sciences and beyond.

Join Us as a Data Science Engineer

Location: Paris, France (Hybrid) | Team: Software Engineering | Type: Full-time

The Opportunity

At DNA Script , we’re reimagining how DNA is made — faster, cleaner, and smarter. As a Data Science Engineer , you'll turn complex scientific data into real-time insights that help our teams innovate in synthetic biology, genomics, and diagnostics.

If you're passionate about machine learning, data infrastructure, and scientific discovery, this is your chance to shape the future of biotech.

What You’ll Work On

• Analyze data from DNA printers & R&D workflows
• Build machine learning & deep learning models
• Design and scale data pipelines
• Define and evolve our company-wide data model
• Help bring our AI strategy to life
• Partner with scientists and engineers to solve real-world problems
  
  

• Work at the cutting edge of synthetic biology and AI
• Grow in a fast-moving, impact-driven startup
• Join a diverse, international team of innovators
• Competitive compensation + top-tier benefits
• Flexible hybrid work & supportive culture
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Information Technology

Referrals increase your chances of interviewing at DNA Script by 2x

Levallois-Perret, Île-de-France, France 3 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Sia Partners réinvente le métier du conseil et apporte un regard innovant et des résultats concrets à ses clients. Nous avons développé des solutions basées sur l’Intelligence Artificielle et le design pour augmenter l’impact de nos missions de conseil. Notre présence globale et notre expertise dans plus de 30 secteurs et services nous permettent d’accompagner nos clients dans le monde entier. A travers notre démarche "Consulting for Good", nous mettons notre expertise au service des objectifs RSE de nos clients et faisons du développement durable un levier de performance pour nos clients.

Pour accompagner son développement, Sia Partners recrute des consultants data scientist.

Ils auront pour vocation de prendre en charge, en synergie avec nos différentes practices, les travaux et missions nécessitant la mise en œuvre de modèles complexes pour accompagner nos clients dans leurs problématiques en lien avec :

• Machine learning et statistiques : élaboration de modèles explicatifs et prédictifs d'aide à la décision (algorithmes d'apprentissage supervisé et non supervisé, économétrie, prévision, diagnostic quantitatif, .)
• Recherche opérationnelle : assistance à la conception et à la mise en oeuvre de solutions d'optimisation sous contraintes et de modèles de simulation
• Big Data : connaissances algorithmiques pour le traitement de grand volume de données et non structurées

Dans le cadre des activités internes du cabinet , votre participation s’articule autour des axes suivants:

• Le développement ou le renforcement de nos offres au travers de formations, de groupes de travail, de diffusion de support internes et externes.
• La politique de publication (blogs sectoriels, études, parution presse.)
• Le développement commercial en contribuant à la définition des besoins et en participant aux actions commerciales.

Vous avez une formation en Ecole d'Ingénieur ou une formation de haut niveau dans le domaine du traitement de l'information, de l'ingénierie statistique et de l'économétrie et vous justifiez d'une première expérience d'au moins un an en Big Data ou Data Science.

Vous avez un excellent niveau en statistiques et analyse quantitative (connaissances théoriques et pratiques, intuition, facilité à comprendre des modèles et les appliquer)

Vous maîtrisezla programmation en R (ou équivalent : SAS, Matlab…) et possédez des bases solides dans des langages de script (Python, Perl, JS, bash) ou compilés (C++, Java) et/ou avez une expérience dans les environnements UNIX/LINUX

Vous souhaitez vous impliquer et prendre rapidement des responsabilités sur des missions à forte valeur ajoutée au sein d’une structure dynamique.

Vous êtes doté(e) d’une capacité à travailler en équipe, d’une ouverture d’esprit, d’un sens de l’analyse et vous souhaitez rejoindre un environnement professionnel motivant où vous partagerez nos valeurs que sont l’excellence, l’entrepreneuriat, l’innovation, la culture du partage, la bienveillance, l’équilibre vie personnelle / vie professionnelle.

Français, anglais professionnel courant indispensable.

Pour plus d'information sur notre practice Data Science, consultez notre showroom de solutions IA :

Sia est un employeur qui souscrit au principe de l’égalité d’accès à l’emploi. Tous les aspects de l’emploi, tels que le recrutement, les promotions, la rémunération, ou les sanctions sont basés uniquement sur les performances, les compétences, et le comportement des employés ou les besoins de l’entreprise.

Shift is the leading AI platform for insurance. Shift combines generative, agentic, and predictive AI to transform underwriting, claims, and fraud and risk - driving operational efficiency, exceptional customer experiences and measurable business impact. Trusted by the world's leading insurers, Shift delivers AI when and where it matters most, at scale and with proven results.

Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures and together we are creating the future of insurance.

Your role :

• Lead a team of 20+ Data Scientists to develop our Fraud Detection solution for the French market.
• Oversee team staffing and development, support individual growth and performance.
• Serve as the primary escalation point for customer issues.
• Scale solution deployment and maintenance, supervising Data Science teams.
• Support our French Sales and Presales teams, and present the demo of our product to potential clients.

Your team focuses on :

What you bring :

Interview process :

To support our permanent, full time employees at every stage of their careers and lives, we provide a competitive total rewards and benefits package. Here are the global benefits we’d like to highlight :

Additional benefits may be offered by country - ask your recruiter for more information. Intern and Apprentice position are eligible for some of these benefits - ask your recruiter for more details.