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!
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 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
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
Data Scientist
San Francisco
$70 - $90
+ Data Science & AI
ContractSan Francisco, California
To Apply for this Job Click Here
This is an opportunity to join a high-impact project focused on transforming sales territory planning through predictive analytics and AI. You will help build the foundational models that will shape future go-to-market decision-making and support the development of next-generation AI-driven sales solutions.
The Company
They are a data and AI consulting firm that partners with enterprise organizations to solve complex business challenges through advanced analytics and machine learning. Their teams combine deep technical expertise with commercial strategy to deliver measurable business outcomes. This engagement sits within a broader GTM transformation initiative and offers the chance to work closely with senior leaders on a brand-new capability being built from scratch.
The Role and Deliverables
- Build predictive models to optimize sales territory design and support quota planning decisions.
- Analyze sales performance, territory, and quota data to identify opportunities for improved coverage and efficiency.
- Partner with GTM Operations and Territory Operations stakeholders to understand business requirements and translate them into analytical solutions.
- Validate model performance through backtesting and historical data analysis.
- Help define the modeling framework that will ultimately integrate with AI-powered GTM agents.
- Present findings, recommendations, and methodologies to both technical and non-technical stakeholders.
Your Skills & Experience
- Strong experience within GTM Operations, Revenue Operations, Sales Strategy, or Territory Planning environments.
- Advanced Python programming skills with the ability to build predictive models from scratch.
- Experience working with Excel-based datasets and transforming business data into actionable insights.
- Strong foundation in statistical analysis, predictive modeling, and data science methodologies.
- Ability to explain complex algorithms and analytical concepts to sales, strategy, and operations teams.
- Strong stakeholder management and presentation skills in client-facing environments.
- A proactive approach, with the ability to challenge assumptions, contribute ideas, and drive solutions independently.
How to Apply
If you are excited by the opportunity to build predictive GTM models from the ground up and work at the intersection of data science, sales strategy, and AI, apply with your latest resume.
To Apply for this Job Click Here
Senior Product Data Scientist/ Product Data Analyst
London
£500 - £500
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Product Analyst
Remote (UK) | Outside IR35 £500 A day
This is an excellent opportunity for a Product Analyst to join a growing analytics function within a consumer-focused membership business. With significant investment in growth initiatives and a strong focus on experimentation, you will have the chance to take ownership of high-impact analytics projects, influence product strategy, and help shape the future of a developing analytics capability.
The Company
They are a consumer-focused digital business with a large and engaged user base. The organisation is investing heavily in growth, customer experience, and data-driven decision making. The analytics function is expanding to support product, marketing, and commercial teams across a range of strategic initiatives.
The Role and Deliverables
- Own product analytics workstreams focused on growth, acquisition, engagement, and customer behaviour.
- Design, analyse, and communicate the results of experiments and product changes across the customer journey.
- Partner with product, marketing, and commercial stakeholders to identify opportunities and influence strategy.
- Develop and maintain business-critical metrics, ensuring consistent measurement of performance.
- Deliver actionable insights that improve member experience, product adoption, transactions, and commercial outcomes.
- Manage projects end-to-end, taking responsibility for stakeholder engagement, prioritisation, delivery, and business impact.
Your Skills & Experience
- Strong experience in Product Analytics within a digital product, marketplace, e-commerce, or consumer platform environment.
- Hands-on expertise in SQL and dbt for data transformation and analysis.
- Proven experience designing and evaluating experiments, including A/B testing and impact assessment.
- Experience creating and defining product or commercial metrics that support decision-making.
- Strong data visualisation skills using Looker or a comparable BI platform.
- Ability to combine deep analytical capability with a highly consultative stakeholder management approach.
- Demonstrated ownership of analytical projects, with the ability to drive both strategy and execution.
- Comfortable working in a fast-paced environment where autonomy and initiative are highly valued.
To Apply for this Job Click Here
Senior Product Data Scientist / Product Data Analyst
London
£400 - £500
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Senior Product Data Scientist / Product Data Analyst
London | Outside IR35
Day Rate: £500
This is an opportunity to take ownership of a growing product analytics function within a highly digital consumer business. You’ll play a key role in shaping how product decisions are made, building analytical capability, driving experimentation, and delivering insights that influence product strategy from day one.
The Company
They are a fast-paced, digital-first organisation with a large online customer base and a strong focus on data-driven decision making. As their analytics capability continues to evolve, they are investing in product analytics to better understand customer behaviour and unlock new opportunities for growth. This contract role offers significant ownership and visibility across product, engineering, and business teams.
The Role and Deliverables
- Partner with Product and business stakeholders to identify user behaviour trends, customer pain points, and product opportunities through quantitative analysis.
- Design, support, and evaluate experiments and A/B tests to measure product performance and impact.
- Deliver deep-dive analysis and actionable recommendations that support strategic product initiatives.
- Work closely with Engineering teams to establish and maintain reliable data foundations.
- Build and maintain self-service dashboards that enable data-informed decision making across the organisation.
- Take ownership of the product analytics function, driving best practice and helping shape the future direction of analytics within the business.
Your Skills & Experience
- Strong experience applying product analytics within a digital, consumer-facing environment.
- Proven ability to work in fast-paced businesses and operate autonomously with minimal oversight.
- Advanced SQL skills and experience using Python or R for analytical work.
- Hands-on experience designing, running, and analysing experiments, including A/B testing.
- Experience working with dbt or similar data transformation tools.
- Experience with data visualisation platforms, ideally Light-dash or comparable BI tools.
- Ability to translate complex business questions into structured analytical approaches and actionable insights.
- Strong stakeholder management and data storytelling skills, with the confidence to present findings to senior audiences.
- Detail-oriented mindset with a proactive, self-starting approach.
- Experience with Data bricks and statistical techniques such as bootstrapping would be beneficial.
- Previous experience within retail, ecommerce, marketplace, or similar digital businesses is highly desirable.
How to Apply
If you’re an experienced Product Data Scientist or Product Data Analyst looking for a high-impact contract where you can take ownership, influence product strategy, and deliver measurable business value, please apply today.
Contract Details
Initial 3-month contract, with an immediate requirement and flexibility around start date for the right candidate.
To Apply for this Job Click Here
Senior Data Scientist
Boston
$160000 - $190000
+ Data Science & AI
PermanentBoston, Massachusetts
To Apply for this Job Click Here
Senior Data Scientist
Remote (US) | Up to $190,000 Base + Benefits
A rapidly growing healthcare technology company is hiring multiple Senior Data Scientists to help build and scale machine learning products that directly improve patient access to clinical research and healthcare innovation.
This is a highly visible opportunity for someone who wants to own machine learning models from development through deployment and monitoring while partnering closely with Product, Engineering, and business stakeholders. The team is investing heavily in data science as a core strategic function and is looking for individuals who enjoy solving complex real-world problems through predictive modeling and statistical rigor.
What You’ll Be Working On
- Building predictive models that influence healthcare decision-making
- Developing patient matching and recommendation systems
- Forecasting enrollment and engagement outcomes
- Designing and evaluating machine learning experiments
- Monitoring and improving production model performance
- Partnering with engineering teams to productionize solutions
- Influencing product strategy through data-driven insights
What We’re Looking For
- 5+ years of Data Science experience
- Strong Python and SQL skills
- Experience building and deploying predictive models
- Statistical modeling expertise
- Machine learning production experience
- Strong experimentation and analytical thinking skills
- Ability to communicate complex findings to non-technical stakeholders
Preferred Experience
- Healthcare, life sciences, pharma, insurance, or other regulated industries
- Forecasting, Bayesian methods, or advanced statistical modeling
- Experience monitoring and improving production models
- Startup or high-growth environment experience
Why This Role?
- Fully remote opportunity
- Up to $190,000 base salary
- Meaningful healthcare impact
- Strong leadership visibility
- Opportunity to influence product direction
- End-to-end ownership of machine learning initiatives
- Join a business that has proven product-market fit and is investing heavily in growth
If you’re a Data Scientist who enjoys building models that make it into production and drive measurable business outcomes, we’d love to hear from you.
Apply today or reach out directly for a confidential discussion.
To Apply for this Job Click Here
Principal Data Scientist
$200000 - $220000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Principal Data Scientist
Remote | Salary up to $220,000 + 15% bonus
This is an opportunity to step into a senior, high-impact Principal Data Scientist role where you will shape the direction of advanced AI and data science initiatives at scale. You will work on commercially meaningful problems, leveraging cutting-edge techniques including generative AI, while influencing both strategy and delivery across a globally recognised platform.
The Company
They are a well-established, innovation-led organisation focused on delivering data-driven products at scale. With a strong investment in AI and advanced analytics, they partner closely across product, engineering, and design to create impactful, user-focused solutions. Their teams are highly collaborative and operate in a modern, fully remote environment that encourages autonomy and technical excellence.
The Role
- Lead the design and implementation of advanced data science and AI solutions aligned to business objectives
- Provide technical leadership across complex projects, setting direction and best practice for modelling and deployment
- Collaborate with cross-functional stakeholders to identify opportunities and define requirements
- Apply generative AI and other advanced methodologies to solve real-world problems
- Translate technical findings into clear, actionable insights for senior stakeholders
- Oversee project timelines and ensure successful delivery across multiple workstreams
Your Skills and Experience
- Strong commercial experience in data science and machine learning, with recognised expertise in a specialist area
- Deep understanding of production-level AI systems and recent exposure to generative AI techniques
- Proven ability to lead complex projects end to end, from concept through to deployment
- Experience working cross-functionally with product, engineering, or business teams
- Clear and collaborative communication style, with the ability to influence senior stakeholders
- Background in a quantitative or technical field such as Data Science, AI, Mathematics, or similar
What They Offer
- Salary up to $220,000 with a 15% performance bonus
- Fully remote working with flexibility and autonomy
- Opportunity to work on high-impact AI initiatives at scale
- Collaborative, forward-thinking technical environment
- Clear scope for progression into broader technical or strategic leadership roles
How to Apply
If you’re interested in exploring this Principal Data Scientist opportunity, apply now for a confidential discussion.
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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Candidate – Digital Media and Analytics
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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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’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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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 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!
