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FULL STACK DATA SCIENTIST
Paris
€45000 - €60000
+ Data Science & AI
PermanentParis, Île-de-France
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FULL STACK DATA SCIENTIST
PARIS (75)
45-60K€
Dans le cadre du développement de l’équipe Data Engineering, nous recrutons un(e) Data Engineer & Scientist Senior.
Le poste s’oriente davantage vers l’engineering, tout en conservant une dimension analytique au service des métiers (RH, marketing, satisfaction client).
VOTRE ROLE
Structurer, organiser et consolider la collecte de données existante
- Maintenir, modifier occasionnellement et faire évoluer des pipelines de données déjà en place
- Être autonome sur les sujets R&D Data, avec une forte composante scientifique (création de POC IA, analyse, modélisation, prédiction)
- Travailler en étroite collaboration avec les équipes métiers (RH, marketing, satisfaction client) pour transformer la donnée brute en insights métier
- Participer à la roadmap technique et scientifique sur 3, 6 et 12 mois, principalement autour des sujets IA et Data Engineering
- Manipuler les données via Python, SQL, PySpark, dans un environnement cloud (préférence AWS mais GCP/Azure possible)
- Construire et alimenter des dashboards avec des outils de data visualisation adaptés
VOTRE PROFIL
- 3 à 6 ans d’expérience en Data Engineering / Data Science
- Vous avez déjà travaillé dans un environnement startup ou scale-up, avec une forte autonomie et un esprit de construction
- Expérience en structuration d’un pôle data ou mise en place de pipelines from scratch appréciée
- Langages & outils : Python, Power BI ou Tableau (must have)
- Outils statistiques : SAS (must have), SPSS (nice to have)
- Cloud : AWS
- Français courant
- Diplômé(e) d’une école d’ingénieur ou grande école
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Senior Data Scientist – Fintech
New York
$170000 - $190000
+ Data Science & AI
PermanentNew York
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Senior Data Scientist – Fintech
$170,000-$190,000 + bonus + benefits
Remote
About the Organization
Join a global financial services company delivering intelligent information and technology solutions to professionals in legal, tax, compliance, and corporate sectors. The team is part of the organization’s innovation hub, focused on applying AI, LLM, and data science to create forward-looking tools.
The environment combines the best of both worlds: startup energy with enterprise support. Projects include building agentic systems to automate tax prep and document summarization for legal and financial workflows.
About the Role
This is a model building / development-focused role-ideal for someone with a strong foundation in applied NLP research and a passion for making machine learning work in the real world. You’ll own experiments, iterate on PoCs, and help define how ML models are built for in production environments.
What You’ll Bring
- 5+ years of data scientist (modeling) experience in applied research and production environments
- PhD in Computer Science, Computational Linguistics, Statistics or similar highly preferred
- Experience with LLMs and agents
- Background in: NLP: Named Entity Recognition / NER, information extraction, and information retrieval
- Cloud environments (provider-agnostic), AWS or GCP a plus
- Python, PyTorch, TensorFlow, Hugging Face, BERT, RAG experience preferred
- Publication and patent history a plus
- Strong collaboration and communication skills, including experience working with non-technical stakeholders
- Independent problem-solver with a proactive mindset
Preferred Experience
- Technical leadership on NLP products
- Experience delivering LLM-based solutions
- Familiarity with all stages of the AI product lifecycle
- Startup or fast-paced innovation environment experience
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | Applied Research | Production | AI | Artificial Intelligence | Publications | Patents | PyTorch | Python | Deployment | Hugging Face | RAG | Retreival Augmented Generation | Agents | NLP | Natural Language Processing | Chatbots | NER | Information Extraction | Information Retrieval
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MLOps Engineer
London
£60000 - £70000
+ Data Science & AI
PermanentLondon
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MLOps Engineer
London
£60,000-£70,000
About the Role:
Join a cutting-edge technology company at the forefront of immersive experiences powered by machine learning and extended reality. We are seeking a skilled MLOps Engineer to help build, deploy, and maintain scalable machine learning infrastructure that drives innovation in our products. You will play a critical role in developing scalable ML infrastructure that powers immersive XR applications with real-time 3D content.
Key Responsibilities:
- Design, develop, and maintain scalable MLOps pipelines tailored for XR applications, ensuring smooth deployment and monitoring of machine learning models.
- Collaborate closely with 3D artists and XR developers to integrate machine learning workflows with 3D rendering engines.
- Optimize ML models and workflows for real-time inference within 3D environments and XR platforms.
- Manage cloud infrastructure and automation tools to support continuous integration and continuous deployment (CI/CD) of ML models.
- Troubleshoot and resolve performance bottlenecks related to ML inference and 3D rendering workloads.
- Develop monitoring solutions to track model performance and system health in production.
- Stay up to date with the latest trends in MLOps, XR technologies, and 3D rendering techniques to propose innovative improvements.
Qualifications:
- Proven experience as an MLOps engineer or similar role with a focus on 3D applications
- Strong programming skills in Python, and familiarity with ML frameworks (TensorFlow, PyTorch, etc.)
- Expertise in 3D reconstruction and rendering
- Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker)
- Excellent problem-solving skills and ability to work cross-functionally in a fast-paced environment
Please register your interest for this role by sending your CV to Rosie O’Callaghan via the apply link on this page
To Apply for this Job Click Here

Lead data scientist
€75000 - €80000
+ Data Science & AI
PermanentNouvelle-Aquitaine
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LEAD DATA SCIENTIST
HYBRIDE – UP TO 80K€ FIXES
Python – Docker – AWS
L’ENTREPRISE
C’est une entreprise reconnue dans le secteur automobile depuis plusieurs années. Elle intervient principalement dans la distribution et les services liés aux véhicules. Implantée sur plusieurs marchés, elle mise sur son expertise et son dynamisme pour accompagner ses clients.
LES MISSIONS
En collaboration avec le Directeur Data, vous rejoindrez une équipe de 10 personnes, vous serez en charge de la structuration des pratiques de Data Science. Vos missions seront les suivantes :
- Développer et déployer des modèles de Machine Learning pour répondre aux besoins métiers
- Assurer la maintenance évolutive des modèles
- Définir et mettre en oeuvre les méthodologies de Data Science
- Être orienté business et résultat
VOTRE PROFIL
- Bac+5 au sein d’une école d’ingénieur ou université en mathématiques, statistiques ou probabilités
- Minimum 4 ans d’expérience sur un rôle de data science dans des environnements en production
- Solide maîtrise de Python, Docker et un cloud public
- Niveau d’anglais B1
POUR POSTULER
Merci de me faire part de votre CV et je vous recontacterai au plus vite.
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LEAD DATA SCIENCE & IA
Poitiers
€65000 - €85000
+ Data Science & AI
PermanentPoitiers, Nouvelle-Aquitaine
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LEAD DATA SCIENCE & IA
POITOU-CHARENTES (86)
65-85K€
En tant que Lead Data Science & IA, vous serez responsable de la conception, du déploiement et de l’industrialisation des projets IA au sein du groupe. Ce poste stratégique allie expertise technique, chefferie de projet, et acculturation des métiers à la data science.
Vous évoluerez dans un environnement agile, en pleine construction, avec une grande liberté d’action et un fort impact business.
VOTRE RÔLE
- Développer et déployer des modèles ML/IA sur des cas d’usage métier (prévision, scoring, optimisation…)
- Assurer la maintenance évolutive et l’amélioration continue des modèles
- Piloter l’industrialisation progressive (MLOps, containerisation, monitoring…)
- Cadrer et gérer les projets de A à Z : recueil de besoins, échanges métier, restitution
- Vulgariser les résultats et accompagner l’acculturation IA en interne
- Participer au recrutement et à la structuration de l’équipe Data Science
VOTRE PROFIL
- Minimum 5 ans d’expérience (possibilité d’ouvrir à 2-3 ans pour des profils très solides issus de grandes écoles type ENSAE, Télécom, Polytechnique, ENSAI)
- Solide formation en mathématiques appliquées / statistiques / machine learning
- Maîtrise avancée de Python, Docker, et des environnements Cloud (AWS ou autre)
- Expérience concrète en mise en production de modèles IA et pratique de MLOps
- Capacité à gérer un projet de bout en bout et à vulgariser les résultats auprès de publics non techniques
- Esprit structurant, terrain, et posture de leader technique
- Bon niveau de français et anglais
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Generative AI Engineer
€50000 - €60000
+ Data Science & AI
PermanentNetherlands
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Job Title: Generative AI Specialist (Finance Sector – Prompt Engineering)
Location: Amsterdam
Employment Type: Full-time
Department: AI & Innovation – Financial Services
About Us
They are a leading financial institution at the forefront of AI-driven innovation, reshaping how data and technology power decision-making in capital markets, banking, and financial services. The AI team is driving the integration of generative AI and large language models into core business functions-from risk analysis to client interaction. We’re now seeking a Generative AI Specialist with a strong background in prompt engineering to join our growing team.
Role Overview
As a Generative AI Specialist, you will design, develop, and optimize prompt engineering strategies for large language models (LLMs) and other generative tools to automate and enhance financial services workflows. Your work will directly influence trading strategies, reporting automation, regulatory compliance, and client engagement through cutting-edge AI solutions.
Key Responsibilities
- Design and refine prompts for LLMs (e.g., GPT-4, Claude, Mistral) to deliver high-accuracy outputs for financial tasks (e.g., risk summaries, investment analysis, regulatory reports).
- Collaborate with quant teams, data scientists, and engineers to deploy generative AI across front-office, middle-office, and back-office functions.
- Build prompt libraries and reusable AI components that ensure consistency, security, and performance.
- Perform prompt evaluations, A/B testing, and iterative tuning to improve reliability and reduce hallucination risks.
- Stay current with the latest generative AI research and its applications to financial modeling, compliance, and customer engagement.
- Contribute to the development of AI policy, governance, and ethical frameworks in line with regulatory standards (e.g., FINRA, FCA, SEC).
What They’re Looking For
- Proven experience with prompt engineering and working with foundation models (GPT-3.5/4, Claude, LLaMA, etc.).
- Solid understanding of financial markets, instruments, and regulatory frameworks.
- Strong Python skills, including experience with AI/ML libraries (LangChain, OpenAI API, Hugging Face, etc.).
- Ability to translate business needs into technical AI applications and prompt strategies.
- Excellent analytical, problem-solving, and communication skills.
- Familiarity with data privacy, model interpretability, and AI governance is a plus.
- Dutch speaking.
Preferred Qualifications
- Degree in Computer Science, Finance, Data Science, or a related field.
- 1+ years of experience working in finance, fintech, or enterprise AI environments.
- Experience integrating LLMs into enterprise platforms or workflows (e.g., through APIs, plugins, internal tools).
Why Join?
- Be part of a pioneering AI team inside one of the world’s most respected financial institutions.
- Work on high-impact, real-world applications of generative AI in a heavily data-driven domain.
- Competitive compensation and benefits, with opportunities for career growth and leadership.
- Access to state-of-the-art tools, infrastructure, and professional development in a supportive, innovative culture.
To Apply for this Job Click Here

Director of Data Science
San Francisco
$250000 - $300000
+ Data Science & AI
PermanentSan Francisco, California
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Job Title: Director of Data Science – Biopharma Commercial Analytics
Location: Hybrid – San Francisco Bay Area
Salary: $250-300k base + bonus + equity
Drive the Commercial Data Science Strategy for a High-Growth Digital Health Innovator
Join a mission-driven health tech company redefining how the biopharma industry uses data to drive access, adherence, and market success. This is a unique opportunity to lead the data science function at a fast-scaling, venture-backed startup and shape the next generation of commercial analytics tools and ML-powered insights.
The Role
As Director of Data Science, you’ll lead a team of Data Scientists and Analytical Data Engineers responsible for delivering impactful analytics and machine learning solutions across the commercial lifecycle. You’ll operate as a strategic partner across Product, Customer Experience, and Go-to-Market teams, influencing everything from AI product features to patient access strategies.
Key Responsibilities:
- Build, mentor, and scale a high-performing data science team with a focus on commercialization in the biopharma space
- Lead the development of predictive models and ML algorithms to solve problems in Market Access, Patient Services, and Field Force Optimization
- Own the architecture, data models, and pipelines supporting scalable advanced analytics in a multi-tenant SaaS environment
- Partner with Product and Commercial leaders to translate client needs into intelligent analytics tools and embedded insights
- Present findings and influence decisions at the VP and executive level, internally and with client stakeholders
- Ensure code quality, security, and compliance across deployed models and analytics products
- Monitor trends in commercial analytics, generative AI, and regulatory standards to drive innovation
Your Background
Required Experience:
- 7+ years in biopharma or life sciences commercial analytics, including direct experience in Market Access, Commercial Ops, or Patient Services
- Advanced expertise in machine learning techniques (e.g., regression, classification, forecasting, NLP, A/B testing) applied to real-world commercial use cases
- Proficient in Python and SQL; experience with Snowflake, dbt, and Snowpark highly valued
- Strong understanding of data sets common to biopharma (specialty pharmacy, claims, HCP targeting, CRM, etc.)
- 3+ years managing and scaling high-impact Data Science teams in high-growth or enterprise health tech environments
- Proven record of driving measurable business outcomes through ML/AI-powered solutions
- Excellent cross-functional communication skills; ability to bridge technical depth with commercial strategy
- M.S. or Ph.D. in a quantitative discipline (e.g., Data Science, Engineering, Statistics, Computer Science)
Preferred Qualifications:
- Familiarity with HIPAA, SOC2, HITRUST, or other healthcare regulatory frameworks
- Experience working in AWS-based cloud environments
- Exposure to LLMs, agentic AI frameworks, or AI-enhanced product features
- Background in specialty data integration (e.g., hub services, reimbursement workflows)
What’s On Offer
- Executive-level role shaping the analytics vision for a fast-scaling digital health company
- Competitive compensation, performance bonus, and equity in a high-growth startup
- High-impact work that directly improves patient outcomes and access
- Collaborative and mission-driven culture at the intersection of healthcare and AI
- Opportunity to influence product strategy and drive adoption of next-generation commercial analytics tools
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AI Research Engineer
€150000 - €250000
+ Data Science & AI
PermanentBarcelona
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Research Engineer – Relocation to Barcelona
Are you interested in working for a stealth start-up in Barcelona who have just secured pre-seed funding? We are working on a Research Engineer role, you will be responsible for adding an engineering layer to the business and closing the gap between the engineering and data science team. You will focus on the design, implementation and deployment of ML models.
They are looking for a candidate with a strong academic background (PhD required) and work experience in a tech company.
*Please only apply if you are comfortable with relocating to Barcelona.
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SENIOR DATA SCIENTIST
Poitiers
€60000 - €61000
+ Data Science & AI
PermanentPoitiers, Nouvelle-Aquitaine
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SENIOR DATA SCIENTIST
NOUVELLE-AQUITAINE
60-80K€ + avantages
Cette société industrielle recherche son Senior Data Engineer car elle connaît une accélération forte de sa transformation digitale, notamment autour des sujets data, IA et automatisation des processus.
VOTRE ROLE
- Concevoir, développer et industrialiser des modèles IA (prévisions, scoring, segmentation, optimisation…).
- Structurer la vision Data Science du groupe (cadre méthodologique, bonnes pratiques, outillage).
- Encadrer et faire monter en compétence une future équipe de Data Scientists, tout en étant hands-on au démarrage.
- Travailler en synergie avec les équipes Data Engineering, IT et métiers pour garantir la valeur opérationnelle des cas d’usage IA.
VOTRE PROFIL
- Bac+5 ou doctorat en mathématiques appliquées, machine learning, statistiques ou équivalent.
- 6 à 10 ans en Data Science, dont une expérience significative en déploiement de modèles IA en production.
- Excellente maîtrise de Python, SQL, et des librairies ML (scikit-learn, XGBoost, TensorFlow…).
- Pratique des bonnes méthodes de MLOps : CI/CD, monitoring, automatisation, scalabilité.
- Connaissance des environnements Cloud et data warehouse.
- Leadership, autonomie, rigueur.
- Capacité à vulgariser les sujets IA auprès des équipes métiers.
- Esprit entrepreneurial, orienté impact et résultat.
To Apply for this Job Click Here

AI Research Director
$500000 - $570000
+ Data Science & AI
PermanentMichigan
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Senior Director – Applied AI Research (LLMs / NLP for Enterprise Solutions)
Company: Global AI & Compliance Software Leader
Total Comp up to $570K
Mission:
We’re partnering with a global leader in AI-driven SaaS solutions to find a Senior Director of Applied Research. This is a mission-critical leadership role overseeing the AI/ML research strategy for complex enterprise applications in the corporate Tax & Trade domain.
You will be responsible for driving innovation at scale: leading teams, shaping strategy, and owning delivery of AI features powered by NLP, LLMs, and Intelligent Agent frameworks. You’ll work cross-functionally to transform AI concepts into real-world features integrated into enterprise platforms used by Fortune 500 clients.
This role combines hands-on technical leadership with strategic product influence, and is ideal for someone with deep experience in turning advanced research into commercial impact, especially in regulated, content-rich environments.
Key Missions:
- Lead a large team of scientists and engineers through the full ML lifecycle
- Build scalable AI/NLP features for intelligent assistants and classification tools
- Champion innovation using LLMs, RAG, and AI agent frameworks
- Align with product and executive stakeholders to define strategic priorities
- Represent the AI vision internally and externally (including client conversations)
- Create a high-performance team culture rooted in curiosity and delivery
Ideal Background:
- 10+ years in AI/NLP system development; 5+ years in leadership roles
- Enterprise experience with AWS-based ML systems in production
- Deep understanding of LLM integration and agentic architecture design
- Excellent communicator and stakeholder manager
- Strong academic grounding (PhD or similar) and bonus: research publications
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Director of Applied Research
New York
$500000 - $570000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Director of Applied Research – AI & NLP Leadership
Global SaaS & Data Intelligence Leader
Up to $570K
Mission:
We’re hiring a Director of Applied Research to spearhead next-generation AI innovation in the Tax & Trade compliance space for one of the world’s leading data & software providers. This position sits at the intersection of AI strategy, people leadership, and real-world product delivery.
In this role, you will lead a team of 20+ Applied Scientists and Research Engineers, driving the development of cutting-edge NLP and LLM-based features embedded in AI-powered assistants and classification systems used by global enterprises. You’ll shape and deliver the roadmap for intelligent automation, collaborating with cross-functional leaders in Product, Engineering, UX, Editorial and Marketing.
This is a high-impact leadership role with strategic influence across product lines, requiring both technical depth and organizational maturity. You’ll ensure scientific excellence, drive scalable production implementation (AWS), and champion a culture of innovation, collaboration and delivery.
Key Responsibilities:
- Lead, grow, and mentor a high-performing applied research team
- Own the end-to-end delivery of advanced ML/NLP features in production systems
- Drive the AI vision for enterprise-grade Tax & Trade compliance products
- Collaborate with senior product, technology, and business stakeholders
- Translate state-of-the-art research into scalable, customer-centric solutions
- Oversee a portfolio of initiatives, managing scope, budget, and staffing
Profile Sought:
- 10+ years in applied AI/ML/NLP roles (commercial / productized environments)
- 5-8 years of management experience (ideally in matrixed or global organizations)
- Proven track record deploying ML/NLP systems in production (preferably on AWS)
- Experience with LLMs, RAG, agentic frameworks, and AI assistant technologies
- Executive-level communication and cross-functional leadership
- PhD or equivalent expertise in a relevant field (AI, ML, NLP, IR)
- Bonus: Publications in top-tier conferences (ACL, NeurIPS, EMNLP, etc.)
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Data Science Manager
London
£550 - £600
+ Data Science & AI
ContractLondon
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Data Science Manager (Contract)
£500-£600/day | ⏳ 3 months (IR35 TBC) | 2 days/week in office
About the role
Our client is looking for a hands-on Data Science Manager to take full ownership of their pricing optimisation function. This is a 3-month contract leading a small international team, focused on refining and deploying pricing models that directly impact trading performance across multiple markets.
You’ll be managing everything from strategy to code, balancing high-level pricing approaches with deep technical involvement in building, testing, and improving algorithms.
Key responsibilities:
-
Own the end-to-end pricing product: develop, improve, and deploy pricing models tailored to market and product dynamics
-
Drive experimentation and A/B testing to validate pricing strategies
-
Collaborate closely with commercial teams to ensure models align with trading goals
-
Work with data engineering teams to maintain robust pipelines and smooth deployments
Tech stack:
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Python (must-have)
-
GCP
-
Tableau
About you:
-
Background in pricing optimisation.
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Comfortable leading a team but still very hands-on – coding, analysing, and iterating
-
Excellent communicator who can simplify technical work for commercial stakeholders
-
Past titles likely include Lead Data Scientist, Head of Data Science, or similar
To Apply for this Job Click Here

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