FIND YOUR NEXT DATA SCIENCE JOB
We help the best talent in the Data Science market find rewarding careers.
Harnham is the best company for data science jobs because we are a global leader in data science recruitment.
Our extensive network of data science employers, and clients, ensuring you find the perfect match for your skills.
We offer a range of data science jobs from entry-level to director-level and have an experienced team of recruiters who will help match you with the right employer.
Also, we provide excellent resources and advice for data science job seekers, helping you prepare for interviews, negotiate salaries, and more.
HOW WE
DO IT
We pride ourselves on keeping our pulse on trends across the Data Science industry.
Our dedicated Data Science consultants have immersed themselves fully in the market and are able to provide industry-leading advice. Whether you’re looking for your next Data Science Job, or to find a Data Scientist for your team, Harnham has a wealth of knowledge and will help you make the process as efficient as possible.
We pride ourselves on keeping our pulse on trends in the industry and offer educational programmes to help keep our candidate’s skills sharp.
WHAT SETS
US APART?
We place considerable emphasis on getting to know you, your motivations and your skills.
We do this to ensure we only introduce you to companies that suit you. By taking the time to listen to and explore our clients’ briefs, we soon know whether candidates fit their culture or not.
As a genuine specialist in Data Science recruitment, we have developed long-standing partnerships within the marketplace. These relationships allow us to provide our candidates with access to the best opportunities in the sector.
If you are looking for that next Data Science job and career step, let us help you find it.
As working from home becomes ever more common, you can now search Remote Data Science Jobs.

JOBS
LATEST DATA
SCIENCE JOBS
Harnham are a specialist Data Science recruitment business, specializing in finding you your next data science job!

SENIOR DATA SCIENTIST
Poitiers
€60000 - €61000
+ Data Science & AI
PermanentPoitiers, Nouvelle-Aquitaine
To Apply for this Job Click Here
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

LEAD DATA SCIENCE & IA
Poitiers
€65000 - €85000
+ Data Science & AI
PermanentPoitiers, Nouvelle-Aquitaine
To Apply for this Job Click Here
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
To Apply for this Job Click Here

FULL STACK DATA SCIENTIST
Paris
€45000 - €60000
+ Data Science & AI
PermanentParis, ÃŽle-de-France
To Apply for this Job Click Here
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
To Apply for this Job Click Here

Data Scientist
Northampton
£60000 - £70000
+ Data Science & AI
PermanentNorthampton, Northamptonshire
To Apply for this Job Click Here
Data Scientist
Salary: £70,000
Location: UK-based
A high-growth, data-driven company is seeking a hands-on, commercially minded Data Scientist to lead the development of intelligent matching algorithms, predictive models, and advanced recommendation systems.
This is a strategic individual contributor role where you’ll own high-impact projects from design to deployment and shape the future of search technology for some of the biggest names in private equity.
Ideal Candidate
- Experience: 5+ years in data science roles, preferably in fast-moving or early-stage environments
- Languages & Tools:
- Strong Python (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch)
- Advanced SQL
- AWS
- MLOps tooling (e.g., MLflow, SageMaker, or similar)
- Bonus Points For:
- Knowledge of LLMs, RAG pipelines, prompt engineering, or agentic interfaces
- Experience with data warehouse tools (Snowflake, Redshift, BigQuery)
- Familiarity with search, matching, or recommendation systems
- Soft Skills: Independent, highly communicative, and comfortable working directly with senior leadership and commercial stakeholders
Interview Process
- Screening conversation with hiring manager
- Technical discussion with the VP of Engineering
- Sign of chat with CEO
To Apply for this Job Click Here

Data Scientist – Price Optimisation
London
£60000 - £70000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Data Scientist – Price Optimisation
Location: Remote (UK-based, London preferred)
Salary: £60,000-£70,000 + 5-8% bonus + Equity
The Company
A global pricing and revenue optimisation leader originally focused on airline pricing, now expanding into the hotel and hospitality sector. Following the acquisition of Pace Revenue, the team in the UK forms a key part of their hotel pricing division, operating under the same Flyr brand.
The Role
This is a deeply analytical and research-driven role within the Pricing Optimisation team. You’ll be focusing on advanced mathematical modelling and pricing logic development to enhance the company’s pricing engine. Unlike traditional ML-focused roles, this will go deeper into statistical theory and pricing dynamics to influence global product strategy.
Key Responsibilities
– Research and develop advanced pricing models for hotel revenue optimisation.
– Work closely with other data scientists and engineers to deploy new logic.
– Collaborate on experimentation, testing and performance evaluation.
– Present findings to technical and non-technical stakeholders.
– Contribute to long-term pricing strategy alongside product and business teams.
Skills & Experience
Essential:
– PhD in a mathematics, statistics or quantitative field (or Master’s with strong pricing experience).
– Excellent Python and Pandas skills.
– Strong understanding of machine learning principles (excluding deep learning).
– Ability to work independently on complex mathematical problems.
– Research-led mindset with a passion for optimisation.
Desirable:
– Experience with pricing in hospitality or travel sectors.
– Familiarity with academic or research environments.
Team & Structure
You’ll join the Pricing Optimisation team, working alongside 3 Senior Data Scientists under the management of James Butler. The wider DS function includes a Forecasting team and engineering support, with additional collaboration across global locations.
Benefits
– 5-8% performance bonus (depending on level)
– Equity
– Private healthcare
– 25 days holiday
– Nursery benefit (tax-free)
– Remote-first working policy (UK only)
Interview Process
1st Stage: Intro chat with DS Manager
2nd Stage: Live technical screen share coding task (1 hour)
3rd Stage: Take-home task (up to 3 hours)
4th Stage: Presentation (30 mins)
5th Stage: Deep dive on ML and culture fit
Final Stage: VP sign-off conversation
How to Apply
Send your CV to Mohammed Buhariwala at Harnham or reach out directly for more information about the opportunity.
To Apply for this Job Click Here

Senior Pricing Optimisation Data Scientist
Birmingham
£60000 - £70000
+ Data Science & AI
PermanentBirmingham, West Midlands
To Apply for this Job Click Here
Senior Pricing Optimisation Data Scientist
Location: UK-based
Salary: £60,000 – £70,000
The Opportunity
Join a global leader in pricing and revenue intelligence, recently expanded through the acquisition of a high-growth startup. As part of a specialised team of highly academic Data Scientists, you’ll contribute to cutting-edge pricing algorithms that help reshape decision-making in travel and hospitality industries.
This is a deeply analytical role that values theoretical understanding and scientific thinking over production engineering. If you enjoy complex, research-driven problems with real-world impact – this is for you.
What You’ll Do
- Conduct deep research into pricing optimisation strategies for hotel revenue
- Develop models in Python using Pandas, statistical tooling, and custom algorithms
- Translate real-world pricing problems into mathematical and statistical frameworks
- Work independently and contribute to a culture of intellectual rigor and curiosity
Ideal Profile
- PhD in Mathematics, Statistics, Physics, or a related quantitative field (Master’s with significant pricing optimisation experience considered)
- Strong foundation in statistical modelling, optimisation, and machine learning fundamentals
- Fluent in Python and data science tools (e.g., Pandas, NumPy)
- Prior experience in revenue management or pricing is a plus, but not required
Interview Process
- Intro chat
- Take-home exercise and presentation
- Sign off chat
To Apply for this Job Click Here

Data Scientist
£60000 - £70000
+ Data Science & AI
PermanentEngland
To Apply for this Job Click Here
Data Scientist
£60,000-£70,000
Fully Remote in The UK
THE COMPANY
If you’re tired of tweaking models that never make it to production; read on! A tight-knit, PhD-led team is building next-gen pricing and forecasting models that actually go live; think hotels, flights, and real-time demand shifts. This is real, applied data science: you’ll be developing and owning models end-to-end, not just passing a notebook to someone else!
THE ROLE
In the role you will:
- Develop ML models for price optimisation and demand forecasting
- Work with Bayesian stats, time series analysis, Monte Carlo, RL
- Directly influence pricing decisions in a real commercial setting
- Integrate external and internal data streams to reflect live market dynamics
YOUR SKILLS AND EXPERIENCE
- PhD Background
- Strong Python
THE BENEFITS
- £60,000-£70,000 (DOE)
HOW TO APPLY
Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page
To Apply for this Job Click Here

Omni-Channel Analytics Partner
$130000 - $170000
+ Data Science & AI
PermanentOntario
To Apply for this Job Click Here
OMNI-CHANNEL ANALYTICS PARTNER
Ontario, Canada
Remote
A leading pharmaceutical company is looking for two Brand Analytics Partners to join their Commercial Analytics function that will play a pivotal role in shaping brand strategy through robust data insights.
The Role:
As a Omni-Channel Analytics Partner, you’ll work closely with commercial and brand teams to drive evidence-based decision-making. You’ll be hands-on with data, building models and drawing insights that directly impact brand performance.
Key Responsibilities:
- Optimize omnichannel marketing strategy – determine the right mix of channels and messaging for HCPs and patients.
- Build models to drive marketing decisions: propensity models, segmentation, next-best-action, uplift models, and more.
- Develop and evaluate attribution models, A/B tests, test vs. control frameworks, and campaign response models.
- Perform data wrangling, feature engineering, and model development using large, raw datasets.
- Translate analytics into actionable commercial recommendations across brand, sales, and digital teams.
- Collaborate cross-functionally on strategic planning and execution.
Your Skills & Experience:
To succeed in this role, you’ll need:
- Strong background in data science, statistics, or a STEM field.
- Proficient in SQL and Python (R a plus) – hands-on with large datasets.
- Able to build, validate, and interpret complex models.
- Experience with commercial or omnichannel analytics in pharma, healthcare, or digital media.
- Familiarity with claims, field sales, or prescription data.
- Comfortable presenting data-driven insights to non-technical stakeholders.
Apply Below!
To Apply for this Job Click Here

Lead data scientist
€75000 - €80000
+ Data Science & AI
PermanentNouvelle-Aquitaine
To Apply for this Job Click Here
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.
To Apply for this Job Click Here

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