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.
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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.
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
London
£550 - £600
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Senior Data Scientist
London | Hybrid (2-3 days per week) | 6-Month Contract | £550-£600 per day | Outside IR35
This is an exciting opportunity for a Data Scientist to join a leading retail organisation on a high-profile data transformation programme. You will work on projects that directly influence customer experience, commercial performance, and operational efficiency, using advanced analytics and machine learning to drive business outcomes.
The Company
They are a well-established retail business undergoing significant investment in their data and analytics capabilities. With a strong focus on leveraging data to improve decision-making, they are building scalable solutions that support both customer and commercial objectives. You will join a collaborative environment where data plays a central role in shaping strategy and performance.
The Role and Deliverables
- Develop and implement machine learning models to address key business challenges.
- Analyse large and complex datasets to uncover actionable insights.
- Work closely with stakeholders across the business to understand requirements and deliver analytical solutions.
- Build predictive models focused on customer behaviour, demand forecasting, and performance optimisation.
- Present findings and recommendations to technical and non-technical audiences.
- Support the development of best practices across data science, experimentation, and model deployment.
Your Skills & Experience
- Strong experience developing and deploying machine learning models in a commercial environment.
- Advanced Python skills and experience with common data science libraries.
- Experience working with large datasets and cloud-based data platforms.
- Strong understanding of statistical modelling, predictive analytics, and experimentation.
- Ability to communicate complex analytical findings clearly to stakeholders.
- Experience within retail, eCommerce, or consumer-focused businesses is advantageous.
- Strong stakeholder management and problem-solving skills.
How to Apply
If you are a Data Scientist seeking your next contract opportunity in London and are interested in delivering impactful projects within a retail environment, please apply with your latest CV.
To Apply for this Job Click Here
Senior Data Scientist
London
£600 - £700
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Senior Data Scientist
London | Outside IR35 £600-700 per day | 6 month initial contract | hybrid 3 days
This is a fantastic opportunity for a Senior Data Scientist to join a rapidly growing health technology business on a high-impact contract. You’ll work on data science initiatives that help drive better outcomes, influence product development, and support innovation across the organisation.
The Company
They are a fast-scaling health technology company focused on using data and analytics to improve decision-making and deliver meaningful outcomes. With continued growth and investment, they are expanding their data capabilities and looking for experienced professionals to help shape the next phase of their journey. You’ll join a collaborative team working on complex challenges within a purpose-driven environment.
The Role and Deliverables
- Develop and deploy advanced predictive and statistical models to address key business challenges.
- Analyse large, complex datasets to generate actionable insights.
- Work closely with product, engineering, and business stakeholders to translate requirements into data science solutions.
- Communicate findings and recommendations to both technical and non-technical audiences.
- Support the development of scalable analytics and machine learning workflows.
- Contribute to best practices across data science, experimentation, and model governance.
Your Skills & Experience
- Strong experience delivering end-to-end data science projects in commercial environments.
- Advanced Python and SQL skills for analytics and modelling.
- Experience building and deploying machine learning models.
- Strong understanding of statistical analysis, experimentation, and predictive modelling.
- Experience working with cloud platforms such as AWS, Azure, or GCP.
- Excellent stakeholder management and communication skills.
How to Apply
If you’re a Senior Data Scientist looking for a contract opportunity where you can make a measurable impact within a growing health technology business, apply today to learn more.
To Apply for this Job Click Here
Staff GTM Data Scientist
$190000 - $220000
+ Data Science & AI
PermanentCalifornia
To Apply for this Job Click Here
Staff GTM Data Scientist
Location: Remote
Salary: $190-220k base
We’re partnering with a fast-growing SaaS company to find a Staff Data Scientist for a senior, high-visibility role sitting at the heart of their product and go-to-market strategy. This isn’t a reporting role or a dashboard-builder position. It’s for someone who can drive a genuine shift toward data-driven decision making across the organization, and who has the technical depth and communication skills to bring leadership along with them.
What You’ll Be Doing
- Owning and advancing the company’s experimentation roadmap, focusing on high-leverage questions around customer workflows, churn risk, and long-term value
- Designing and analyzing complex A/B tests, multivariate experiments, and Bayesian methods to assess the real impact of product and business changes
- Applying causal inference techniques (DiD, synthetic control, propensity score matching, instrumental variables) where traditional RCTs aren’t feasible
- Building and governing a unified KPI framework that connects product health metrics to business outcomes
- Partnering with Data Engineering to build scalable, self-serve experimentation tooling and reusable analytical frameworks
- Translating complex statistical findings into clear, compelling narratives for VP and C-suite audiences
- Mentoring and training junior and mid-level data scientists on experimental design and causal modeling
What We’re Looking For
This is a senior individual contributor role reporting to the Director of GTM Data, acting as a strategic thought partner across Product, Marketing, Finance, and Engineering. The company is at an inflection point in how it uses data, and this person will be central to shaping that.
Essential:
- 6+ years in applied data science, economics, or product analytics
- Proven expertise in causal inference: DiD, PSM, instrumental variables, quasi-experimentation
- Deep experience in A/B testing methodology including sequential testing, CUPED, variance reduction, and network effects
- Advanced SQL and Python or R for statistical modeling
- Experience with Snowflake or similar cloud data warehouses
- Exceptional communication skills, comfortable presenting to and influencing C-suite stakeholders
- Demonstrated ability to drive change in organizations where experimentation culture is still maturing
Nice to have:
- Experience with dbt, Airflow, or Databricks
- Background in SaaS and product data science
To Apply for this Job Click Here
Staff Product Data Scientist
$190000 - $220000
+ Data Science & AI
PermanentCalifornia
To Apply for this Job Click Here
Staff Data Scientist (Product)
Location: Remote
Salary: $190-220k
We’re partnering with a fast-growing SaaS company to find a Staff Data Scientist for a senior, high-visibility role embedded in their product organization. This is for someone who combines deep statistical expertise with the ability to influence how an entire company makes decisions – not just someone who runs experiments, but someone who builds the culture and infrastructure around them.
What You’ll Be Doing
- Owning and advancing the company’s experimentation roadmap, focused on high-leverage product questions around customer workflows, churn risk, and long-term value
- Designing and analyzing complex A/B tests, multivariate experiments, and Bayesian methods to measure the real impact of product changes
- Applying causal inference techniques (DiD, synthetic control, propensity score matching, instrumental variables) where traditional RCTs aren’t feasible
- Building and governing a unified KPI framework that connects product health metrics to meaningful business outcomes
- Partnering with Data Engineering to build scalable, self-serve experimentation tooling and reusable analytical frameworks
- Translating complex statistical findings into clear, compelling narratives for VP and C-suite audiences
- Mentoring and training junior and mid-level data scientists on experimental design and causal modeling
What We’re Looking For
This is a senior individual contributor role reporting to the Director of Product Data, acting as a strategic thought partner across Product, Engineering, Finance, Design, and Product Marketing. The company is at an inflection point in how it uses data to make product decisions, and this person will be central to shaping that.
Essential:
- 6+ years in applied data science, economics, or product analytics
- Proven expertise in causal inference: DiD, PSM, instrumental variables, quasi-experimentation
- Deep experience in A/B testing methodology including sequential testing, CUPED, variance reduction, and network effects
- Advanced SQL and Python or R for statistical modeling
- Experience with Snowflake or similar cloud data warehouses
- Exceptional communication skills, comfortable presenting to and influencing C-suite stakeholders
- Demonstrated ability to drive change in organizations where experimentation culture is still developing
Nice to have:
- Experience with dbt, Airflow, or Databricks
- Background in SaaS and product data science
To Apply for this Job Click Here
Staff Finance Data Scientist – Consumption Forecasting
San Francisco
$240000 - $300000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
Staff Data Scientist, Finance – Consumption Forecasting
Location: San Francisco or New York | Hybrid (3 days per week in office)
Salary: $240-300k base + bonus + equity (RSUs)
This is a rare chance to own forecasting infrastructure at the center of a high-growth, consumption-based developer platform, one that powers some of the world’s most dynamic applications and scales with every developer and enterprise building on it.
As a consumption-based business, forecasting usage across compute, bandwidth, edge, and storage isn’t a support function. It’s foundational to how we plan infrastructure, revenue, and long-term strategy. This role exists to lead that work at the highest level.
What you’ll own
This is a senior individual contributor role with organization-wide impact. You’ll define forecasting methodology, build systems that scale with a rapidly growing platform, and sit at the intersection of Finance, Infrastructure, Product, and GTM with direct visibility to executive leadership.
- Own production revenue forecasting end-to-end: model development, backtesting, deployment, monitoring, and iteration from first principles to live system
- Build forecasting systems that account for usage-based pricing dynamics, consumption patterns, and customer lifecycle across the platform, built for how this business actually works, not retrofitted SaaS models
- Design hierarchical forecasting models across account, cohort, segment, and global aggregate levels, covering operational, quarterly, and long-range planning cycles
- Establish backtesting, monitoring, and explainability standards that make forecast accuracy transparent and defensible
- Build scenario simulation frameworks to evaluate pricing changes, packaging adjustments, and product launches
- Partner with Finance on board-level reporting, with Infrastructure Engineering on capacity planning, and with Product and GTM on adoption curves and usage drivers
- Set forecasting best practices across the broader Data organization
What we’re looking for
- 7+ years in data science, quantitative analytics, or applied statistics at senior or staff level
- Deep expertise in time-series forecasting and statistical modelling in a usage-based or SaaS environment
- Proven track record building and productionizing ML systems at scale
- Strong Python and SQL, with experience on large-scale usage and billing datasets
- Familiarity with probabilistic modelling, hierarchical forecasting, and causal inference
- Experience partnering with Finance or executive leadership on planning cycles
- Comfortable operating autonomously in fast-moving, ambiguous environments
Nice to have
- Background in cloud infrastructure, developer tools, or consumption-based revenue models
- Familiarity with modern data stacks: Snowflake, Delta Lake, dbt, Airflow
- Prior technical mentorship or informal leadership experience
To Apply for this Job Click Here
Data Scientist
St. Helens
£40000 - £50000
+ Data Science & AI
PermanentSt. Helens, Merseyside
To Apply for this Job Click Here
Data Scientist – Merseyside
As a Data Scientist, you will work closely with the Lead Data Science and cross-functional teams to develop and deploy models that support customer and commercial decision-making. Responsibilities include:
- Building and deploying machine learning models across customer use cases
- Delivering projects focused on customer segmentation, lifetime value, and forecasting
- Supporting targeted marketing activity, including campaigns and personalisation
- Collaborating with data engineers, analysts, and business stakeholders
- Contributing to the development of a scalable Data Science platform
- Ensuring models are production-ready and drive measurable business impact
Your Skills & Experience
- Strong commercial experience in Data Science, delivering end-to-end projects
- Proficiency in Python, with solid SQL skills
- Experience applying machine learning and statistical techniques to business problems
- Exposure to deploying models into production environments
- Understanding of cloud platforms such as GCP or Azure is beneficial
- Ability to communicate insights clearly to non-technical stakeholders
- A practical, delivery-focused mindset with a collaborative approach
To Apply for this Job Click Here
Senior Data Scientist
Leicester
£65000 - £75000
+ Data Science & AI
PermanentLeicester, Leicestershire
To Apply for this Job Click Here
Senior Data Scientist
Leicester (Hybrid – 1 Day Per Week)
£60,000-£75,000 + £5,000 Car Allowance + 10% Bonus + Outstanding Benefits
THE COMPANY
We’re exclusively partnering with one of the UK’s leading digital insurance businesses to hire two Senior Data Scientists into its highly regarded Alternative Pricing Product (APP) team.
With over four million customers and significant investment in Data Science, Machine Learning and digital transformation, the business has built one of the strongest pricing and analytics capabilities in UK insurance. This is a genuinely innovative environment where Data Scientists are encouraged to challenge conventional pricing methods, explore new data sources and develop cutting-edge machine learning solutions that directly influence commercial decisions.
THE ROLE
Joining a specialist team of six Data Scientists and Analysts, you’ll play a key role in developing the next generation of pricing models across car and van insurance.
Rather than maintaining existing models, you’ll be encouraged to challenge traditional pricing approaches by exploring new datasets and applying innovative machine learning techniques to solve complex commercial problems.
Responsibilities include:
- Building predictive machine learning models using large, complex datasets
- Developing innovative pricing and customer selection models
- Creating footprint (geospatial) models using alternative data sources
- Developing residual models to improve claims prediction accuracy
- Exploring novel datasets to improve pricing performance
- Taking existing V1 models and evolving them into production-ready V2 solutions
- Working closely with Pricing, Data Science and Engineering teams
- Mentoring a Graduate Data Scientist while leading your own projects from concept through to delivery
YOUR SKILLS AND EXPERIENCE
- Strong Python and SQL experience
- Commercial Machine Learning experience
- Strong predictive modelling background
- Comfortable working with large, messy datasets
- Experience solving complex business problems using data
- Experience mentoring or supporting junior team members
- Exposure to model deployment is beneficial but not essential
- Experience within Insurance, Financial Services, Gaming or another digital-first business is advantageous
Experience with Azure Machine Learning, Graph-based models or geospatial modelling would be beneficial but is not essential.
THE BENEFITS
- Salary up to £75,000 (up to £80,000 for exceptional candidates)
- £5,000 annual car allowance
- 10% target bonus (up to 20%)
- Hybrid working (1 day per week in the office)
- Choice of London or Leicester or Bexhill office, with monthly London travel fully expensed
- Private Medical Insurance
- 10% matched pension
- 27 days annual leave plus bank holidays
- Buy or sell up to 5 days annual leave
- Life Assurance and Income Protection
- Health & Wellbeing package
- Optional dental cover
- Discounts on company products
INTERVIEW PROCESS
- 30-minute introductory conversation with the Hiring Manager
- Take-home case study followed by a 20-minute presentation and technical discussion
- Final leadership and team-fit interview
HOW TO APPLY
Please register your interest by sending your CV to Max Beadle at Harnham via the Apply link on this page.
To Apply for this Job Click Here
ML Scientist
San Francisco
$250000 - $280000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
ML Scientist
$250,000-$280,000
Overview
A fast-growing technology-driven life sciences organization is seeking a highly skilled Machine Learning Research Scientist to help build and advance large-scale foundation models that integrate complex biological data. This role sits at the intersection of artificial intelligence, machine learning research, and scientific discovery.
The successful candidate will work with an interdisciplinary team of researchers, engineers, and domain specialists to develop novel modelling approaches, evaluate emerging technologies, and translate cutting-edge AI research into real-world impact. The position offers significant ownership, opportunities for publication and technical leadership, and exposure to large-scale machine learning systems.
Key Responsibilities
- Design, implement, train, and optimise foundation models that integrate diverse biological and scientific datasets.
- Develop benchmarking frameworks and evaluation methodologies for large-scale machine learning models.
- Assess state-of-the-art open-source models and identify opportunities for improvement or adoption.
- Lead research initiatives from concept through experimentation, analysis, and communication of findings.
- Collaborate closely with technical and scientific stakeholders to translate complex research outcomes into actionable insights.
- Contribute to technical publications, presentations, and engagement with the broader research community.
- Evaluate the use of large language models and related technologies to enhance research workflows and model capabilities.
- Rapidly prototype and test novel ideas, prioritising high-impact experiments and research directions.
- Support the development of scalable machine learning infrastructure for training and deploying advanced models.
Required Qualifications
- Strong publication record and/or presentations at leading machine learning conferences or equivalent research venues.
- Proven experience developing machine learning models and datasets using PyTorch or similar deep learning frameworks.
- Deep understanding of modern machine learning architectures and self-supervised learning techniques.
- Expertise in areas such as representation learning, generative modelling, diffusion methods, latent variable models, or autoregressive architectures.
- Experience training, tuning, and evaluating large-scale machine learning models.
- Familiarity with distributed training environments and scalable machine learning systems.
- Experience with tools and frameworks used for large-scale model development, orchestration, and experimentation.
Preferred Qualifications
- Experience working with multimodal datasets.
- Background in scientific machine learning, computational biology, healthcare AI, or related domains.
- Demonstrated ability to communicate technical research to both technical and non-technical audiences.
- Experience collaborating across disciplines in research-intensive environments.
To Apply for this Job Click Here
Chief Scientist
Berkeley
$300000 - $350000
+ Data Science & AI
PermanentBerkeley, California
To Apply for this Job Click Here
Chief Scientist
$300,000- $350,000
Overview
A mission-driven research organisation is seeking a Chief Scientist to lead its scientific strategy, research operations, and interdisciplinary research teams. Reporting directly to the Chief Executive Officer and serving as a member of the executive leadership team, this individual will oversee multiple research functions and ensure alignment between scientific objectives, organisational priorities, and long-term impact.
This role focuses on building and leading a high-performing research organisation rather than serving as an individual contributor. The successful candidate will bring deep expertise in artificial intelligence, substantial leadership experience, and the ability to integrate technical and scientific disciplines into a cohesive research strategy.
Key Responsibilities
Scientific Leadership & Strategy
- Define and oversee a multi-year scientific roadmap aligned with organisational mission and objectives.
- Ensure close collaboration between AI-focused research and domain science teams to drive meaningful scientific outcomes.
- Maintain high standards of scientific rigor, reproducibility, and research integrity.
- Monitor relevant developments in machine learning, computational science, behavioural research, and related disciplines, translating insights into strategic opportunities.
Research Organisation Leadership
- Lead, mentor, and develop senior research leaders and multidisciplinary teams.
- Design organisational structures, staffing plans, and growth strategies to support research priorities.
- Recruit and retain exceptional scientific and technical talent, particularly for senior leadership positions.
- Partner with programme and operational leaders to prioritise initiatives, allocate resources, and ensure effective execution.
- Foster an inclusive, collaborative, and high-performing research culture.
Executive Leadership
- Serve as a strategic partner to executive leadership on organisational direction and long-term planning.
- Align research priorities with fundraising, communications, and organisational initiatives.
- Present research strategy, progress, and key decisions to leadership, funders, boards, and external stakeholders.
- Support external communications by ensuring scientific findings and organisational priorities are accurately represented.
Financial Management
- Own research budget planning and spending within approved parameters.
- Develop and manage multi-year research budget forecasts in partnership with organisational leadership.
- Monitor expenditures and proactively identify significant budgetary changes or risks.
External Engagement
- Represent the organisation at scientific, industry, and professional events.
- Develop partnerships with academic institutions, government organisations, nonprofits, and research collaborators.
- Contribute to publications, thought leadership, and public-facing scientific communications.
- Expand external research networks through fellowships, internships, and academic outreach programmes.
Culture & Ethical Leadership
- Promote cross-functional collaboration and transparent knowledge sharing.
- Create an environment that values respect, inclusion, and diverse perspectives.
- Encourage participation from researchers at all levels in scientific planning and decision-making.
- Uphold strong ethical standards in research design, data usage, interpretation, and communication.
Required Qualifications
Education
- PhD in Machine Learning, Computer Science, Electrical Engineering, Computational Biology, or a closely related discipline.
- Strong scientific credibility and research accomplishments, though an active publication record is not required.
Experience
- 15+ years of experience spanning AI research, large-scale AI implementation, or a combination of both.
- Demonstrated success leading research organisations, technical teams, or advanced AI programmes.
- Significant experience evaluating research quality and managing senior researchers or technical leaders.
- Experience building teams, setting strategic direction, and maintaining scientific standards.
- Strong professional network within the AI research and technology community.
- Ability to recruit and develop senior-level scientific talent.
Technical Expertise
- Deep understanding of modern AI and machine learning methodologies.
- Familiarity with foundation models, large-scale model training, and production-scale AI systems.
- Experience assessing research quality across interdisciplinary environments.
- Understanding of quantitative scientific research methods and data-driven experimentation.
Leadership Skills
- Proven ability to lead complex, multidisciplinary research organisations.
- Strong organisational judgement and strategic decision-making skills.
- Excellent communication skills with executive, scientific, funding, and public audiences.
- Ability to bridge different research cultures and disciplines effectively.
- Passion for mission-oriented scientific research and long-term impact.
Preferred Qualifications
- Experience working in both academic and commercial research environments.
- Background applying AI to scientific or natural-world research domains.
- Familiarity with machine learning for audio, speech, computer vision, or related data modalities.
- Experience in nonprofit, research institute, mission-driven, or field-based scientific organisations.
- Knowledge of responsible AI frameworks and ethical research practices.
Work Model / Reporting Structure
- Reports directly to the Chief Executive Officer.
- Serves as a member of the executive leadership team.
- Oversees senior leaders responsible for research, scientific programmes, and research infrastructure.
- Holds broad authority over scientific direction, research priorities, and organisational research strategy.
- Supported by operational, finance, programme management, legal, and human resources functions.
To Apply for this Job Click Here
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News & Blog
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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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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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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.
