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
London
£100000 - £124000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Data Scientist, Causal Inference & Experimentation
London | Up to £124,000 + Bonus
This is an opportunity to join a newly formed Data Science team focused on understanding what truly drives customer value and commercial performance. The role sits at the intersection of Data Science, Econometrics, and Experimentation, with a strong emphasis on explaining why behavioural changes happen rather than simply predicting outcomes.
The Company
They are a global technology and entertainment business investing heavily in advanced analytics to better understand customer behaviour and commercial performance. As part of a newly established function, they are building a specialist team focused on measuring the impact of product and commercial initiatives. The work combines Data Science, Economics, and Experimentation, with a strong emphasis on influencing real-world decisions.
The Role
- Apply causal inference techniques to measure the true impact of product and commercial initiatives
- Design and analyse experiments and A/B tests to drive decision-making
- Conduct cannibalisation, value decomposition, and counterfactual analysis
- Develop simulation and offline evaluation frameworks
- Assess models and experiments developed by other teams
- Translate complex findings into clear recommendations for technical and commercial stakeholders
Your Skills & Experience
- Strong background in Data Science, Econometrics, Economics, Statistics, Behavioural Science, or a related quantitative discipline
- Deep understanding of causal reasoning, experimentation, and statistical inference
- Experience with A/B testing, incrementality measurement, treatment effects, or causal modelling
- Strong Python and SQL skills
- Excellent communication skills with the ability to influence business decisions through data
- Master’s degree or PhD in Economics, Econometrics, Statistics, Mathematics, or a similar quantitative field strongly preferred
What They Offer
- Salary up to £124,000 plus bonus
- Opportunity to help shape a brand-new strategic Data Science function
- High-impact work influencing product and commercial decisions
- Strong career progression and development opportunities
- Flexible working and competitive benefits
How to Apply
If you have a strong background in causal inference, experimentation, and quantitative research, apply today to learn more about this opportunity.
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 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
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
Senior Data Scientist
Leicester
£71000 - £85000
+ Data Science & AI
PermanentLeicester, Leicestershire
To Apply for this Job Click Here
Senior Data Scientist
Hybrid – Leicester (1x day a week)
£75,000 – £85,000 + bonus
Looking to apply advanced machine learning in a highly commercial environment? This is an opportunity to join a data-driven organisation where analytics sits at the heart of strategic decision-making. You’ll work on innovative pricing and risk modelling challenges, helping shape how data and machine learning drive business performance.
The Company
They are a well-established consumer-focused organisation with a strong investment in data, analytics, and technology. Their data science function plays a critical role in driving commercial outcomes through advanced modelling and predictive analytics. With a collaborative culture and modern cloud-based technology stack, they offer an environment where innovation and experimentation are encouraged. You will work alongside talented data scientists, analysts, and engineers to deliver impactful solutions at scale.
The Role
As a Senior Data Scientist, you will develop advanced machine learning solutions that support pricing, risk assessment, and business performance.
Responsibilities include:
- Building and deploying predictive machine learning models across a range of commercial use cases
- Developing analytical tools to improve risk portfolio management and decision-making
- Creating innovative features and data assets to enhance model performance
- Identifying and evaluating new data sources that can drive commercial value
- Taking models through the full lifecycle from exploration and development to deployment, monitoring, and optimisation
- Partnering with stakeholders to define business problems and deliver effective solutions
- Working closely with Data Engineers, Data Scientists, Analysts, and other technical specialists
- Contributing to the adoption of emerging machine learning techniques and best practices
Your Skills & Experience
- Strong commercial experience delivering machine learning projects from discovery through to deployment and ongoing model management
- Expertise in Python and SQL
- Experience working with Azure Machine Learning and wider Azure cloud technologies
- Knowledge of version control tools such as Git
- Ability to translate complex business challenges into analytical solutions
- Strong stakeholder management and communication skills
- Experience working in cross-functional data and analytics environments
- Passion for innovation and applying new machine learning approaches to real-world challenges
What They Offer
- Competitive salary
- Annual bonus scheme
- Car allowance
- Private medical insurance
- Matched pension contributions
- Life assurance and income protection
- Hybrid and flexible working arrangements
- Generous annual leave allowance
- Health, wellbeing, and financial support benefits
- Ongoing learning, development, and career progression opportunities within a growing data science function
How to Apply
If you’re interested in this Senior Data Scientist opportunity, apply today to discuss how your experience aligns with the role.
To Apply for this Job Click Here
Lead Data Scientist
London
£85000 - £95000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Lead Data Scientist
London – 4x a week
The Company
They are a fast-growing technology organisation that helps businesses unlock value from complex data through advanced analytics, machine learning, and AI-driven decision-making. Their products support a range of commercial use cases, with a strong focus on delivering measurable business outcomes. As they continue to scale, they are investing heavily in their Data & AI capabilities.
The Role
- Lead, mentor, and develop a team of Data Scientists while defining best practices across the function
- Design and deploy machine learning models across forecasting, customer segmentation, and propensity modelling
- Own end-to-end model development including feature engineering, validation, deployment, and monitoring
- Partner with Engineering and Product teams to build scalable, production-ready data science solutions
- Translate analytical outputs into clear commercial recommendations for senior stakeholders
- Drive the adoption of AI tooling and robust model governance across the data science lifecycle
Your Skills & Experience
- Strong commercial experience in Data Science, Machine Learning, or Applied AI
- Experience leading and developing Data Science teams
- Advanced Python and SQL skills
- Expertise in supervised and unsupervised machine learning techniques
- Experience deploying models into production environments using MLOps practices
- Strong communication skills with the ability to influence technical and non-technical stakeholders
What They Offer
- Performance-related bonus
- Private healthcare and additional benefits package
- Opportunity to shape and scale a Data Science function
- Exposure to cutting-edge AI and machine learning projects
- Clear career progression in a high-growth environment
How to Apply
If you’re looking for a Lead Data Scientist opportunity that combines leadership, technical depth, and business impact, please apply today through Harnham.
To Apply for this Job Click Here
Senior Data Scientist
London
£500 - £600
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Senior Data Scientist (Contract)
London (Hybrid or Remote)
This is an opportunity to join an early-stage AI business tackling a complex, real-world data challenge. As a Senior Data Scientist, you will take ownership of building production-ready classification and inference models across large industrial datasets, helping establish modelling standards and best practices from the ground up.
The Company
They are an AI-focused organisation developing a data-driven understanding of global industrial systems. Their work combines advanced data science, machine learning, and domain expertise to create structured intelligence from complex, fragmented datasets. Operating at an early stage, they offer the chance to have a direct impact on both technical direction and product development.
The Role and Deliverables
- Profile, explore, and assess complex industrial datasets, including facilities, supply chains, and product information.
- Establish robust modelling foundations through baseline creation, evaluation set design, and metric definition.
- Build and deploy production classification models and matching or inference models.
- Measure, document, and communicate model performance, including error rates and error analysis.
- Apply LLMs appropriately for tasks such as extraction, constrained labelling, and code generation, supported by rigorous evaluation frameworks.
- Contribute independent technical judgement and help define modelling standards within the organisation.
Your Skills & Experience
- Strong experience building and deploying machine learning models into production environments where accuracy and reliability are critical.
- Advanced Python skills, including hands-on experience with pandas and scikit-learn.
- Strong statistical reasoning and a structured approach to model evaluation and validation.
- Ability to clearly explain model performance, evaluation methodology, and known failure modes.
- Experience designing and maintaining evaluation frameworks for machine learning models.
- Experience building LLM-powered workflows with genuine evaluation and monitoring processes is highly desirable.
- Comfortable working autonomously in a fast-paced environment with a high degree of ownership.
How to Apply
If you are a hands-on Senior Data Scientist with proven experience delivering production machine learning solutions, apply today to discuss this contract opportunity in more detail.
To Apply for this Job Click Here
Senior Data Scientist (Contract)
London
£500 - £600
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Senior Data Scientist (Contract)
3 Months Initial (possibility to extend)
Hybrid, London
£500 – £600 Per Day
Immediate Start
The Company
They are an early-stage AI organisation focused on developing advanced data products for a complex global industry. Their work combines machine learning, data modelling, and modern AI techniques to generate meaningful insights from rich, real-world datasets. With a strong technical culture and deep domain expertise, they are looking for an experienced contractor to help deliver critical data science capabilities at an important stage of growth.
The Role and Deliverables
- Profile, analyse, and explore complex industrial datasets to identify modelling opportunities and data quality considerations.
- Establish baseline approaches and define robust evaluation datasets, metrics, and validation frameworks.
- Build and deploy classification, matching, and inference models for production use.
- Measure model performance and produce detailed error analysis to support ongoing improvement.
- Apply LLMs in appropriate use cases such as extraction, constrained labelling, and code generation, supported by clear evaluation processes.
- Collaborate with domain experts to translate complex business challenges into practical machine learning solutions.
Your Skills & Experience
- Strong experience building and deploying machine learning models in production environments where accuracy and reliability are critical.
- Advanced Python skills, including hands-on use of pandas and scikit-learn.
- Strong statistical knowledge and the ability to design effective validation and evaluation methodologies.
- Experience assessing model performance, analysing errors, and communicating findings clearly.
- Capability to build or contribute to LLM-powered workflows with robust evaluation frameworks.
- Comfortable working independently and taking ownership of technical standards and delivery.
- Ability to work effectively with subject matter experts in unfamiliar domains.
How to Apply
If you’re a hands-on Senior Data Scientist looking for an impactful contract opportunity with a strong technical challenge, please apply with your latest CV for consideration.
To Apply for this Job Click Here
Senior Data Scientist
London
£70000 - £80000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Data Scientist
£70,000-£80,000 + £5,000 Car Allowance + Bonus
London(Hybrid – 2x Days a Week in Office)
If you enjoy solving complex modelling problems, building innovative machine learning solutions, and working with alternative data to challenge traditional pricing strategies, this is an opportunity to join one of the UK’s strongest data science functions!
The Company
This leading UK financial services business has built one of the most mature data science capabilities in the industry, using advanced analytics and machine learning to drive commercial decision-making across millions of customers; with significant investment in technology, data and AI, the business continues to grow rapidly and is looking to expand its Alternative Pricing Product team with a Senior Data Scientist. You’ll join a highly collaborative environment where experimentation is encouraged and innovative modelling techniques are actively deployed into production!
The Role
Reporting into the Head of Pricing, you’ll join a specialist team responsible for developing next-generation pricing models that challenge conventional approaches. Working across large and complex datasets, you’ll build predictive machine learning models using alternative data sources to improve customer pricing and risk selection.
Projects include:
- Building innovative predictive machine learning models
- Developing pricing and customer selection models
- Exploring alternative data sources to improve pricing accuracy
- Geospatial and footprint modelling
- Residual and claims modelling
- Working with messy, high-volume datasets to uncover commercial insights
- Deploying models using Azure Machine Learning
- Mentoring junior team members and helping shape best practice across the team
This is an opportunity to influence products that impact millions of customers whilst working on genuinely novel modelling challenges.
Your Skills & Experience
- Experience building machine learning models
- Strong Python skills
- Experience developing predictive models within commercial environments
- Experience working with large, complex datasets
- Experience with cloud-based ML platforms (Azure ML preferred)
- The ability to communicate technical findings to non-technical stakeholders
- Experience mentoring or supporting more junior data scientists is advantageous
Experience within insurance or financial services would be beneficial, although candidates from other highly analytical industries are also encouraged to apply.
The Benefits
- £70,000-£80,000 salary
- £5,000 annual car allowance
- Bonus
How to Apply
To register your interest in this opportunity, please send your CV via the application link
To Apply for this Job Click Here
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News & Blog
With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
Visit our Blogs & News portal or check out our recent posts below.
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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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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.
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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 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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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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I've recently got a short-term contract role through Harnham, and things couldn't have gone better! My recruiter was incredibly helpful throughout the entire process. They also provided incredible admin support so that I could focus on the actual job in hand, rather than having to spend too much time dealing with these matters.
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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.
