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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.
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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.
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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.
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JOBS
LATEST DATA
SCIENCE JOBS
Harnham are a specialist Data Science recruitment business, specializing in finding you your next data science job!
Director of Data Science
San Francisco
$250000 - $300000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
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
To Apply for this Job Click Here
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
Data Science Manager
London
£550 - £600
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
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:
-
Python (must-have)
-
GCP
-
Tableau
About you:
-
Background in pricing optimisation.
-
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
Senior Data Scientist
London
£60000 - £70000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Data Scientist
Reading – Hybrid
Up to £70,000
About the Role
I’m currently partnered with a global leader in data, insights, and consulting who are looking to bring on a Senior Data Scientist to join their highly respected data team.
This is a high-impact opportunity focused on yield optimisation – using data science to drive better consistency, forecast accuracy, and operational efficiency. You’ll work closely with both commercial and technical stakeholders to develop data-driven strategies that improve trading outcomes at scale.
The team is well-established and growing, with excellent visibility across the business and a genuine appetite for data innovation.
Key Responsibilities
- Optimise existing yield and matching models for better consistency and forecasting performance.
- Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements.
- Build and deploy scalable data science solutions that drive measurable business impact.
- Collaborate with developers and commercial leads to implement models into production systems.
- Present insights in a clear, impactful way to senior non-technical stakeholders.
- Own the full data science project lifecycle – from hypothesis to production and iteration.
- Support scenario planning and forecasting for commercial strategy.
What They’re Looking For
- Solid experience in yield, pricing, or forecasting optimisation – ideally within online marketplaces, programmatic media, travel, or insurance.
- Strong technical skills in Python or R, and experience working with SQL and data visualisation tools such as Power BI.
- Familiarity with cloud platforms such as AWS, Redshift, or Azure.
- Strong grasp of forecasting, optimisation, and statistical modelling techniques.
- Confident communicator who can translate technical outputs into business recomme
- ndations.
- Comfortable working in agile, iterative environments with cross-functional teams.
**Please note: Unfortunately, this role does not offer visa sponsorship**
How to Apply:
Please register your interest by sending your CV to Emily Burgess via the Apply link on this page
To Apply for this Job Click Here
Data Scientist
London
£70000 - £80000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Data Scientist
Up to £80,000
London (Hybrid)
Company:
They are an AI-driven climate risk analytics platform that partners with businesses within Insurance, Private Equity, Asset Management and governments to understand and prepare for the physical and transitional impacts of climate change.
Responsibilities:
- Research and implement loss models that quantify climate-related risks, focusing on robustly estimating asset vulnerabilities.
- Calibrate and validate loss models against a wide variety of data sources, both qualitatively and quantitatively to ensure they meet rigorous scientific standards.
- Contribute to building our overall loss modelling framework, ensuring robustness and adaptability across diverse client requirements and geographies
- Model documentation and presentations to engage with stakeholder and customers, all while representing the team at international conferences and industry events
Requirements:
- MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
- 3+ years of experience in a Data Science, Data Analysis, or related role
- Strong hands-on experience with Python and SQL
- Excellent communication skills and stakeholder engagement ability
How to Apply:
Please register your interest by sending your CV to Emily Burgess via the Apply link on this page
To Apply for this Job Click Here
Data Science Manager
London
£100000 - £120000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Data Science Manager
Up to £120,000
London (Remote/Hybrid)
Company:
Join a global marketplace redefining how pre-owned goods are collected, reused, and redistributed. Founded in the UK, they’ve built a scalable, tech-enabled platform that intercepts millions of unwanted items every year, transforming them from landfill-bound to re-loved by new owners.
Responsibilities:
- Lead and deliver scalable statistical models and analyses that drive business decisions
- Own end-to-end delivery of data science projects, from identifying and integrating data sources to experimentation, model deployment, and pricing strategy optimization
- Define and implement best practices in modelling, automation, and process improvements, ensuring the right tools and approaches are used for each problem.
- Effectively communicate complex insights to both technical and non-technical audiences, including senior executives, with a strong focus on commercial impact.
- Collaborate cross-functionally with product managers, engineers, and other stakeholders to align data science work with broader strategic goals under a “One Team” approach.
Requirements:
- MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
- Strong coding skills in Python and SQL
- Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.
**Please note that this role does not offer visa sponsorship**
How to Apply:
Please register your interest by sending your CV to Emily Burgess via the Apply link on this page
To Apply for this Job Click Here
Senior Data Scientist
London
£450 - £480
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Job Opportunity: Marketing & Data Science – Measurement & Modelling
Location: Hybrid (2 days per week in office for first month, flexible after)
Duration: 3 months initially
Rate: £450-480/day (Outside IR35)
Commute: 2 hours by train from Central London
Role Overview:
This role focuses on marketing effectiveness and data science in the retail industry, with a strong emphasis on email campaign measurement, incremental value, and experimentation. The main responsibilities include finalising the Marketing Mix Modelling (MMM) framework, completing the A/B testing framework, and automating marketing analytics processes. The ideal candidate will have experience in causal inference, MMM, and experimentation.
Key Responsibilities:
-
Finalising the MMM framework and modelling (70% complete)
-
Building out the A/B testing framework
-
Automating marketing analytics processes, particularly around experimentation
-
Handling complex data and working with incomplete data
-
Measuring campaign impact and refining marketing strategies
Tech Stack:
-
Core: Databricks, SQL, Python, PySpark
-
Nice to Have: R, dashboarding tools
Ideal Candidate:
-
4-5 years of commercial experience in data science, preferably in an eCommerce or marketing analytics environment
-
Proven experience in causal inference, MMM, and experimentation
-
Strong communication skills and the ability to explain data-driven insights
Interview Process:
-
Stage 1: Technical assessment
-
Stage 2: Knowledge-based interview
To Apply for this Job Click Here
Price Optimisation Data Scientist
London
£500 - £550
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Job Title
Predictive Price Modelling DS
Logistics
-
Contract length: 6 months
-
Day rate: £500-£550 (Outside IR35)
-
Location: Hybrid-2 days/week in London office
Client Context
Work with top-tier retailers and e-commerce brands that demand scientifically rigorous pricing strategies. Your models will directly inform multi-million-pound margin and revenue decisions.
Role Overview
As a Price Modelling Specialist, you’ll lead the design, development and deployment of predictive pricing and elasticity models. You’ll translate data into dynamic pricing rules that maximise revenue, test their impact in-market, and package insights for commercial leaders.
Key Responsibilities
-
Develop and maintain price-elasticity, demand-forecasting and revenue-optimisation models in Python
-
Design, execute and analyse A/B tests and quasi-experimental frameworks to validate pricing strategies
-
Build automated pipelines to refresh price recommendations in near real-time
-
Integrate model outputs into BI dashboards and reporting workflows
-
Present clear, actionable pricing insights to commercial and executive stakeholders
Must-Haves
-
Master’s in Statistics, Econometrics, Data Science or related quantitative field
-
Expert in Python (pandas, scikit-learn) and advanced SQL for large-scale data manipulation
-
Proven track record running A/B tests or causal analyses on pricing levers
-
Excellent communication-able to explain complex models to non-technical audiences
-
Full UK work authorisation
Desirable
-
Familiarity with production ML workflows (version control, CI/CD)
-
Background in retail or e-commerce pricing platforms
Technical Toolbox
-
Modelling & data: Python, SQL
-
Experimentation: A/B testing frameworks
-
Containerisation: Docker
-
BI & warehousing: Snowflake (or equivalent), Tableau/Power BI
-
Cloud: AWS, GCP or Azure
To Apply for this Job Click Here
Causal Inference DS
London
£500 - £550
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Job Title
Senior Causal Inference Data Scientist
Logistics
-
Contract length: 3 months (immediate start)
-
Day rate: £500-£550 (Outside IR35)
-
Location: Hybrid-2 days/week in London office
-
Interview process: 2-3 stages (including case study & stakeholder presentation)
Client Context
You’ll help blue-chip clients optimise multi-million-pound marketing budgets by blending cutting-edge causal-inference techniques with crystal-clear stakeholder communication.
What You’ll Do
-
Design and implement causal-inference frameworks (quasi-experimental, synthetic control) to quantify marketing uplift and ROI
-
Build predictive and optimisation models to guide budget allocation across channels
-
Translate complex statistical findings into concise presentations and dashboards for senior non-technical stakeholders
-
Partner with marketing, data engineering and product teams to integrate models into live reporting pipelines
Must-Haves
-
Master’s degree in Statistics, Econometrics, Data Science or related quantitative field
-
Hands-on experience with causal-inference methods, including synthetic control techniques
-
Deep conceptual understanding of statistical theory
-
Excellent verbal and written communication-comfortable presenting to C-suite
-
Demonstrable stakeholder engagement (beyond backend coding)
-
Right to work in the UK
Desirable
-
3+ years’ experience in data-driven marketing, analytics consultancy or similar
-
Familiarity with quasi-experimental designs and A/B testing frameworks
-
Background in software design, data structures or production-grade ML engineering
Technical Toolbox
-
Modelling & data: Python or R, SQL
-
Containerisation: Docker
-
Cloud platforms: AWS, GCP or Azure
To Apply for this Job Click Here
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Candidate – Senior Data Engineer
I've been a Senior Data Engineer for about 4-5 years and Harnham is one of the best recruitment agencies I worked with. There was a time when my offer fell through and the recruiter I was working with at Harnham jumped in to the rescue and scheduled interviews for me within a couple of days. Really good agency and some great people.
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Client – Director of People Operations
We’ve been collaborating with Harnham to recruit some key positions for our company, and they have been incredible partners. They team has been great and efficient. They understood our needs perfectly and provided us very talented candidates. We'll keep collaborating with them in the future. Thank you for your excellent job!
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Client – Data Direction – Broadcast Media
I have worked with Harnham for over 2 years now as our main Analytics Recruiter partner and I am very pleased with the overall service and the people we have hired via Harnham. Harnham’s team is very good at understanding our recruitment needs and always come back with relevant and well scanned CVs, which saves me precious time.
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Candidate – Chief Data Officer
It was a real treat to work with Harnham. My recruiter consistently went above and beyond to ensure that I navigated through the recruitment process as smooth as possible. I had been in contact with other professional at Harnham in the past and I can attest that the level of professionalism is always top-notch.
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Client – Director of Customer Data Science – Apparel
The team at Harnham have been outstanding in helping our company build a market-leading data science team. Harnham’s communication is great, and the recruiter’s take a consultative approach that’s really focused on provided value for both their clients and their candidates. They provide strong candidates that help us fill our roles with high achievers who are also a great fit for our culture.
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Thanks to Harnham, I am now in a role that suits me. My recruiter was able to quickly identify the skills I had to offer and match me up with his client. It was a win-win for everyone. I was given great advice throughout the process, and I also appreciated the follow-ups that I received.
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I’ve had a great experience with Harnham. The recruiter provided great advice and ensured that I understood everything, and even followed up with me after I started my new role to see how I was settling in. I would recommend Harnham as a great recruitment company for anyone looking for a role in data and analytics.
