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!
Data Scientist
San Francisco
$85 - $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 territory design, quota planning, and GTM analytics within a B2B SaaS environment. You’ll play a key role in shaping data-driven models that support commercial decision-making, working closely with stakeholders to deliver practical, evidence-based outcomes.
The Company
They are a specialist consultancy partnering with organisations to solve complex commercial and operational challenges through data, analytics, and AI. Working closely with client teams, they combine strategic thinking with hands-on delivery to design scalable solutions that improve business performance. Their approach is highly collaborative, with a strong focus on practical outcomes and knowledge transfer.
The Role and Deliverables
- Build and validate attainment models using historical sales performance and territory composition data.
- Develop predictive quota models aligned to financial planning assumptions and historical attainment outcomes.
- Apply territory design methodologies across both Sales and Customer Success functions.
- Analyse and model data from exported source files and spreadsheets, ensuring robust statistical validation.
- Partner with commercial and technical stakeholders to refine methodology and challenge assumptions.
- Produce clear documentation that enables client teams and future delivery partners to understand and apply the approach.
Your Skills & Experience
- Strong experience working with SaaS sales operations, GTM analytics, territory planning, quota setting, or attainment analysis.
- Proven capability in data science, statistical modelling, and validating models using real-world business data.
- Advanced SQL and Python or R skills for data manipulation, analysis, and modelling.
- Excellent Excel and Google Sheets skills, with experience working directly from exported datasets.
- Understanding of statistical or machine learning techniques used to connect territory, account, or quota attributes with performance outcomes.
- Ability to work effectively with ambiguous requirements and adapt solutions as project needs evolve.
- Strong communication skills, including presenting findings and methodology to client stakeholders.
- Experience working with Salesforce data structures would be beneficial.
- Exposure to agentic, rules-based, or decision-support modelling approaches would be advantageous.
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
Senior Data Scientist
London
£400 - £500
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Senior Data Scientist
London
Outside IR35
Fully Remote
Immediate Start
£400 – £500 Per Day
3 – 6 Months long
The Company
They are a data-driven consulting and analytics organisation that helps clients make smarter decisions through advanced measurement, machine learning, and AI solutions. Their teams work across data, analytics, engineering, and consulting disciplines to solve complex business challenges. They foster a collaborative environment where innovation, knowledge sharing, and professional development are highly valued. You will have the chance to work with a broad range of stakeholders on cutting-edge data projects.
The Role and Deliverables
- Lead the design and delivery of advanced machine learning and AI solutions that drive measurable business outcomes.
- Develop, optimise, and deploy machine learning models and scalable ML pipelines.
- Build and maintain machine learning infrastructure, ensuring strong governance, version control, and model lifecycle management.
- Apply advanced statistical modelling and experimentation techniques to solve complex business and marketing challenges.
- Partner with technical and non-technical stakeholders to translate data requirements into effective solutions.
- Provide technical leadership, mentor data scientists, and contribute to the development of reusable data science approaches.
Your Skills & Experience
- Strong experience in data science, machine learning, artificial intelligence, and advanced analytics.
- Expertise in Python and SQL for data analysis, modelling, and production-grade solutions.
- Experience designing, deploying, and maintaining machine learning models in cloud environments.
- Strong knowledge of Google Cloud Platform, with exposure to cloud-based machine learning services.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Knowledge of pipeline orchestration and data workflow tools such as Airflow, Dataform, or dbt.
- Experience delivering advanced measurement and modelling solutions, including marketing mix modelling, incrementality testing, causal impact analysis, attribution modelling, propensity modelling, churn analysis, or predictive lifetime value modelling.
- Strong stakeholder engagement and communication skills, with the ability to explain complex technical concepts clearly.
- Experience working with large datasets and translating insights into business value.
- Ability to work independently while collaborating effectively within cross-functional teams.
How to Apply
If you are an experienced Senior Data Scientist looking to deliver impactful machine learning and AI projects, apply today to learn more.
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
Data Scientist, Sales Operations (Contract)
San Francisco
$80 - $90
+ Data Science & AI
ContractSan Francisco, California
To Apply for this Job Click Here
Data Scientist, Sales Operations (Contract)
Harnham, the leading recruitment specialist in Data and AI, is currently partnering with an operator-led AI consultancy focused on helping B2B software companies build agentic GTM and revenue operations solutions. The business works closely with clients to design, validate, and scale AI-driven territory, quota, and sales optimization models, combining deep Sales Operations expertise with advanced Data Science and AI capabilities.
- Role: Data Scientist, Sales Operations (Contract)
- Location: San Francisco ( Hybrid 2-3x per week)
- Pay: $80 – $95 per hour W2 (some flex if you have your own LLC)
- Length: Extendable 3-month initial contract
- Utilization: 40 hr/week
- Benefits: Full Benefits
As a Data Scientist, you will support a strategic AI consulting engagement focused on transforming sales planning and GTM operations through predictive analytics and AI. You will work directly with territory operations, sales leadership, and revenue operations teams to build and validate predictive territory and quota models using historical sales performance data. This work will establish the foundation for future agentic AI solutions designed to optimize revenue performance at scale.
Key Responsibilities:
- Partner with territory operations and sales leadership stakeholders to understand existing methodologies and business processes.
- Analyze historical sales, quota, attainment, and territory data to identify patterns and optimization opportunities.
- Clean, manipulate, validate, and prepare large datasets for predictive modeling initiatives.
- Build predictive territory and quota models using machine learning and statistical techniques.
- Test and validate models against historical sales performance and attainment data.
- Advise clients on GTM optimization, territory design, quota planning, and AI-driven decision-making best practices.
- Document methodologies, recommendations, and frameworks to enable future internal adoption and future AI agent development.
Requirements:
- Strong experience with Python and machine learning model development.
- Proven experience building predictive models using sales, territory, quota, attainment, or commercial performance data.
- Deep understanding of Sales Operations, Revenue Operations, GTM Analytics, or Commercial Strategy functions.
- Ability to communicate sophisticated analytical concepts to non-technical and executive audiences.
- Experience with Salesforce and GTM systems is preferred.
- Experience building agentic AI, automation, or AI-driven solutions is highly desirable.
Next Steps:
If interested in this opportunity, please apply below or contact Ciarán to learn more
To Apply for this Job Click Here
Data Scientist (Private Equity Value Creation)
New York
$80 - $120
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
Data Scientist (Private Equity Value Creation)
Harnham, the leading recruitment specialist in Data and AI, is currently partnering with a PE-backed mid-market consulting and value creation business that helps portfolio companies unlock value through data, analytics, AI, and operational transformation initiatives. The team works directly with executive stakeholders to identify opportunities, implement modern data solutions, and deliver measurable business impact across a diverse client portfolio.
- Role: Data Scientist
- Location: Remote (Preference for candidates based near New York or Atlanta)
- Pay: $80 – $120 per hour
- Length: 3 – 6 month initial contract
- Utilization: 40 hr/week
- Benefits: 401k, Medical, Vision etc
As a Data Scientist, you will join a high-performing “Rapid Squad” focused on helping private equity-backed businesses accelerate value creation through data and AI. Working within small teams of 2-3 consultants, you will support end-to-end delivery from due diligence and opportunity identification through to the implementation of advanced analytics, machine learning, and modern data platforms.
You will partner directly with client executives, including CFOs, CROs, IT leaders, and business stakeholders, to assess technology landscapes, identify opportunities for improvement, and build solutions that drive operational and financial outcomes.
Key Responsibilities:
- Work directly with CFOs, CROs, and technology leaders to identify opportunities across areas such as forecasting, AP/AR optimization, and operational performance.
- Design, build, and deploy advanced analytics and machine learning solutions.
- Collaborate within small, cross-functional implementation teams delivering end-to-end data and analytics projects.
- Support the implementation of modern data platforms and analytics solutions using Snowflake, Databricks, and Power BI.
- Evaluate existing data architectures and recommend scalable data science and data engineering solutions.
- Translate complex business problems into actionable analytical frameworks and measurable outcomes.
- Contribute to engagements across manufacturing, retail, and healthcare clients.
Requirements:
- Hands-on experience with forecasting and predictive analytics use cases.
- Deep understanding of modern data platforms, including Snowflake and Databricks.
- Experience working with data visualization and reporting tools such as Power BI.
- Experience designing and evaluating experiments and statistical testing frameworks.
- Exposure to Generative AI and Large Language Models (LLMs).
- Previous experience supporting consulting, private equity, value creation, transformation, or portfolio operations initiatives is highly desirable.
- Former FP&A, strategy, or business analytics experience is considered a strong advantage.
Next Actions
If interested in this position or in exploring contract/consulting opportunities within the Data Science world, please feel free to reach out and contact Ciarán at Harnham
To Apply for this Job Click Here
Senior Data Scientist
London
£70000 - £90000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
DATA SCIENTIST, DECISION SCIENCES
London OR Cossington (Hybrid)
THE COMPANY
A data-driven consumer business with a large and engaged customer base is seeking a Data Scientist to join their Decision Sciences team. They are investing heavily in advanced analytics and machine learning, with data playing a central role in strategic decision-making across the organisation. You’ll work in a collaborative environment alongside analytics, marketing, and commercial stakeholders, delivering solutions that have a tangible impact on customer outcomes.
THE ROLE
- Build and develop machine learning models focused on customer retention, churn prediction, and customer lifetime value
- Evaluate and improve existing modelling pipelines to increase accuracy and commercial impact
- Partner with CRM and marketing teams to translate model outputs into actionable retention strategies
- Develop forecasting and marketing effectiveness models to support business planning and decision-making
- Design, analyse, and interpret A/B tests and experimentation frameworks
- Deliver insight through deep-dive analysis, dashboards, and clear communication to stakeholders
YOUR SKILLS & EXPERIENCE
- Strong commercial experience as a Data Scientist within marketing, ecommerce, customer, loyalty, or membership environments
- Advanced Python and SQL skills, with experience working in modern data environments
- Strong understanding of statistical modelling, experimentation, and causal inference
- Experience building and deploying predictive machine learning models
- Ability to communicate technical findings to non-technical audiences
- Experience working closely with CRM or lifecycle marketing teams is advantageous
WHAT THEY OFFER
- Competitive salary plus bonus
- Hybrid working and flexible hours
- Private healthcare and enhanced pension package
- Additional annual leave and wellbeing benefits
- Ongoing learning and development opportunities
- Clear career progression within a growing data team
HOW TO APPLY
To find out more about this Data Scientist, Decision Sciences opportunity, please submit your CV for consideration.
To Apply for this Job Click Here
Clinical Data Scientist
San Francisco
$160000 - $190000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
Clinical Data Scientist
San Francisco, California
Remote
$160,000 – $190,000 + Equity
About the Company
This innovative health tech startup is working to improve the oncology drug development process by providing better patient data to drug developers as well as better access to clinical trials for patients. This series B startup is expending to meet demand.
About the Role
As a Clinical Data Scientist, you’ll execute the last leg of the clinical data pipeline by transforming, cleaning, validating, and delivering high‑quality clinical datasets for pharma partners. Heavy collaboration with Clinical Ops, AI Engineering, and Data Delivery.
Role Responsibilities
- Transform raw, abstracted, and AI‑processed data into CDISC SDTM/ADaM datasets
- Program statistical outputs (tables, listings, figures) in SAS/R/Python
- Investigate data anomalies across multiple messy data inputs
- Define data dictionaries and standards before study kickoff
- Handle data in a HIPAA‑aligned manner
Key Requirements
- 2-5 years in clinical data science, stat programming, or clinical data management
- Pharma/Biotech experience
- SAS, R, Python, SQL
- Real‑world clinical data or oncology trials
- CDISC SDTM/ADaM
To Apply for this Job Click Here
Senior Data Scientist
Leicester
£60000 - £75000
+ Data Science & AI
PermanentLeicester, Leicestershire
To Apply for this Job Click Here
Senior Data Scientist
£60,000 – £75,000
London or Leicester (1 day a week in office)
This is an opportunity to join a highly regarded data science function where innovation sits at the centre of decision making. Working within a specialist pricing team, you will have the freedom to explore new data sources, develop cutting-edge machine learning models, and shape how customer risk is assessed across a large-scale digital business. If you enjoy solving complex problems and building impactful models from messy, high-volume datasets, this role offers both technical challenge and visibility.
THE COMPANY
They are a market-leading digital organisation with a strong reputation for using data and analytics to drive business performance. Having invested heavily in their data science capabilities, they continue to expand a high-performing analytics community that values curiosity, experimentation, and collaboration.
THE ROLE
As a Senior Data Scientist you will join a specialist team focused on developing innovative approaches to customer risk assessment and pricing.
Specifically, you can expect to be involved in the following:
- Building and deploying predictive machine learning models that improve pricing and customer selection strategies
- Exploring and evaluating new data sources to identify commercial opportunities
- Developing geospatial and footprint models using alternative datasets
- Creating residual and claims-related models to improve business performance
- Working with large, complex, and often unstructured datasets
- Taking ownership of projects from problem definition through to delivery
- Mentoring and supporting junior team members
SKILLS AND EXPERIENCE
The successful Senior Data Scientist will have the following skills and experience:
- Strong commercial experience delivering machine learning and predictive modelling projects
- Advanced Python and SQL skills
- Experience working with large and complex datasets
- Knowledge of machine learning techniques such as XGBoost, CatBoost, or related models
- Experience working in cloud-based environments, ideally Azure
- Strong stakeholder management and communication skills
- Ability to translate business challenges into analytical solutions
- Experience within insurance is valuable but not essential
BENEFITS
The successful Senior Data Scientist will receive the following benefits:
- Salary between £60,000 – £75,000 – depending on experience
- £5000 annual car allowance
- Performance bonus scheme with on-target bonus and enhanced earning potential
- 10% matched pension contribution
- 27 days annual leave plus bank holidays
- Private medical insurance
- And other benefits
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
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Industry Hub
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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.
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We understand the challenges our customers face and offer the
recruitment solutions needed to drive business success through Data & AI.
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.
Candidate /
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Candidate – Market Research Analyst
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.
Candidate /
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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.
Candidate /
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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.
Candidate /
Chief Data Officer
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!
Client /
Director of People Operations
Candidate – Data Analyst
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.
Candidate /
Data Analyst
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.
Client /
Director of Customer Data Science – Apparel
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.
