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!
MLOps Engineer
London
£75000 - £85000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior MLOps Engineer
London (Hybrid) | £75,000 – £85,000 + Bonus + Benefits
This is an opportunity to take ownership of the infrastructure powering a growing AI platform. You’ll work across machine learning, NLP, and emerging AI technologies, helping build scalable systems that support real-world impact.
The Company
A growing AI and data consultancy helping organisations use data and machine learning to improve decision-making and deliver better outcomes. They are investing heavily in their AI platform and expanding their engineering capability.
The Role
- Own and develop the MLOps infrastructure supporting AI services.
- Build and maintain orchestration pipelines using Dagster, Airflow, or Prefect.
- Deploy and manage ML workloads on Kubernetes and cloud platforms.
- Implement CI/CD, observability, and monitoring across production systems.
- Develop infrastructure using Terraform, Bicep, or similar IaC tools.
- Work closely with Data Scientists, ML Engineers, and AI teams to scale deployments.
Your Skills & Experience
- Strong Python software engineering skills.
- Commercial MLOps experience in production environments.
- Hands-on Kubernetes expertise.
- Experience with workflow orchestration platforms.
- Infrastructure as Code and CI/CD experience.
- Understanding of production ML, NLP, or AI systems.
To Apply for this Job Click Here
Head of Data Science
London
£800 - £900
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Head of Data Science Contract Role
Location: London
Day Rate: £850 per day Outside IR35
Working Pattern: Hybrid, 3 days per week onsite in London
This is a unique opportunity to lead a high-impact data science transformation within the pharmaceutical industry. You will be responsible for shaping enterprise-wide data science capabilities, driving the adoption of advanced analytics and AI, and enabling better research, development, and commercial outcomes through data-driven decision making.
The Company
They are a global pharmaceutical organisation investing heavily in data, analytics, and artificial intelligence to accelerate innovation across the healthcare lifecycle. Data science is a strategic priority, supporting activities across research, clinical development, medical affairs, and commercial functions. As they continue to scale their data capabilities, they are seeking a Head of Data Science to provide leadership, direction, and technical expertise across the organisation.
The Role and Deliverables
- Define and execute the organisation’s data science strategy, ensuring alignment with business and scientific objectives.
- Lead the delivery of machine learning, predictive analytics, and AI initiatives across pharmaceutical and commercial use cases.
- Build strong relationships with senior stakeholders across data, technology, scientific, and business functions.
- Establish best practices for model development, governance, deployment, and performance monitoring.
- Drive the adoption of scalable data science solutions that improve decision making and operational effectiveness.
- Mentor and develop data science teams while fostering a culture of innovation and continuous improvement.
Your Skills & Experience
- Strong experience leading data science functions within pharmaceutical, biotechnology, healthcare, or life sciences environments.
- Deep expertise in machine learning, statistical modelling, and advanced analytics.
- Strong Python skills and experience working with modern data science and cloud platforms.
- Proven ability to translate complex scientific and business challenges into actionable data science solutions.
- Experience influencing senior stakeholders and operating at executive level.
- Strong understanding of MLOps, model governance, and deploying machine learning solutions into production.
- Excellent communication skills with the ability to engage both technical and non-technical audiences.
How to Apply
If you are a Data Science Leader or Head of Data Science looking to shape the future of analytics and AI within a leading pharmaceutical organisation, apply today to learn more about this contract opportunity.
To Apply for this Job Click Here
ML Scientist
San Francisco
$250000 - $288000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
Machine Learning Scientist
Overview
A research-driven organisation is seeking a Machine Learning Research Scientist to help develop next-generation foundation models for complex scientific and multimodal datasets. This individual contributor position is ideal for an independent researcher who excels at identifying meaningful problems, designing rigorous experiments, building models, and translating findings into actionable insights.
The role combines advanced machine learning research with practical model development. Success in this position will be measured primarily by scientific contribution, research quality, and the ability to generate new insights through experimentation.
Key Responsibilities
- Design, train, and evaluate large-scale foundation models across diverse multimodal datasets.
- Develop innovative methods for combining information from multiple data sources, modalities, and levels of abstraction.
- Create evaluation frameworks, benchmark tasks, and performance metrics to assess model effectiveness.
- Rapidly prototype research concepts and determine which ideas have the highest potential impact.
- Partner with domain experts, quantitative researchers, and machine learning practitioners to solve complex problems.
- Assess and apply emerging AI approaches, including large language models and autonomous agent-based systems, to research workflows.
- Communicate technical findings to both specialist and non-specialist audiences.
- Contribute to scientific publications, conference submissions, presentations, and broader research engagement activities.
- Lead projects from concept formulation through experimentation, analysis, and final conclusions.
Required Qualifications
Research Excellence
Candidates should demonstrate a strong record of original machine learning research through one or more of the following:
- First-author publications at leading machine learning, artificial intelligence, computer vision, or natural language processing conferences.
- Significant research contributions within highly regarded industrial research environments.
- Doctoral-level research in machine learning, computer science, statistics, artificial intelligence, or another rigorous quantitative discipline.
Key evaluation criteria include:
- Ability to identify important research questions.
- Technical rigor and depth of research execution.
- Evidence of innovative and independent thinking.
Execution Skills
The ideal candidate can:
- Independently move from concept to experiment.
- Implement and train machine learning models.
- Design robust evaluation methodologies.
- Perform comprehensive analysis of experimental outcomes.
- Iterate quickly based on evidence and results.
- Drive complete research efforts rather than contributing only a small portion of a larger initiative.
Academic Background
Strongly preferred:
- PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Applied Mathematics, Computational Neuroscience, Physics, or another quantitative field.
Candidates without a PhD may be considered if they possess an exceptional research record.
Technical Expertise
High-Priority Areas
Experience in one or more of the following:
- Foundation Models
- Self-Supervised Learning
- Representation Learning
- Computer Vision
- Multimodal Learning
- Large Language Models
- Generative AI
- Diffusion Models
- Flow-Based Generative Modelling
- Autoregressive Models
- Scientific Machine Learning
Additional Relevant Experience
Experience in any of the following areas is beneficial:
- Robotics
- Autonomous Systems
- Computational Biology
- Molecular Modelling
- Protein Structure Prediction
- Molecular Interaction Prediction
- Structural Biology
- Biochemistry
- Quantitative Physics
- Astrophysics
- Other mathematically intensive scientific disciplines
Preferred Qualifications
- Experience applying machine learning to scientific or research-focused domains.
- Familiarity with computational life sciences, chemistry, drug discovery, or related fields.
- Demonstrated interest in using AI to accelerate scientific discovery.
- Strong written and verbal communication skills with the ability to explain complex concepts to diverse audiences.
Domain Knowledge
Prior domain expertise in life sciences is not required. The organisation prioritises machine learning excellence and research capability. Strong candidates may come from areas such as computer vision, language modelling, robotics, reinforcement learning, autonomous systems, or scientific AI.
Candidates should be able to articulate their interest in applying machine learning techniques to scientific challenges and emerging research opportunities.
To Apply for this Job Click Here
Data Scientist
Manchester
£40000 - £55000
+ Data Science & AI
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
Data Scientist
Join a growing Data Science team within an insurance business where you’ll tackle complex pricing challenges, build production-ready machine learning models, and work on projects that directly influence commercial outcomes. This is a great opportunity for someone who enjoys solving business problems as much as building models.
The Role
You will:
- Build, validate and deploy machine learning and statistical models
- Work with Python, SQL, Databricks and PySpark to analyse large datasets
- Solve pricing and risk-related business challenges
- Explore new data sources and test innovative ideas
- Own projects from problem definition through to implementation
- Present insights to technical and non-technical stakeholders
- Support and mentor junior Data Scientists
Your Skills & Experience
- Strong commercial Data Science experience
- Advanced Python and SQL skills
- Experience with Databricks and/or PySpark
- Knowledge of machine learning techniques such as XGBoost and LightGBM
- Strong statistical modelling capability
- Excellent problem-solving and stakeholder management skills
- Experience in insurance, financial services, or another regulated environment is advantageous
To Apply for this Job Click Here
Senior Data Scientist (Pricing)
Leicester
£60000 - £100000
+ Data Science & AI
PermanentLeicester, Leicestershire
To Apply for this Job Click Here
I’m hiring a Senior Data Scientist to join a leading UK insurer’s Pricing & Data Science function, working on innovative machine learning solutions that directly influence risk assessment, pricing, fraud detection, and commercial performance.
This is a role for someone who enjoys taking models from problem definition through to deployment, working with modern ML techniques and real-world commercial challenges.
1 day/week (Leicester / London / Bexhill)
£60k-£100k
What you’ll be doing
- Build and deploy predictive models across pricing, claims, fraud, and risk analytics.
- Engineer new data assets and rating factors to improve pricing performance.
- Identify and leverage new data sources to drive business value.
- Partner with stakeholders across Pricing, Data Science, Analytics, and Engineering teams.
- Own ML projects end-to-end, including EDA, deployment, monitoring, and model refreshes.
What they’re looking for
– Proven experience delivering ML projects from concept to deployment.
– Strong Python and SQL skills.
– Experience with Azure ML, Git, and cloud-based analytics environments.
– Strong stakeholder engagement and commercial problem-solving capability.
– Passion for applying emerging ML techniques to real business problems.
Why join?
- Work in a highly respected pricing and analytics function.
- Bonus scheme + £5k car allowance.
- Private medical cover and strong benefits package.
- Opportunity to work on innovative modelling and pricing challenges at scale.
To Apply for this Job Click Here
Data Scientist (Contract)
London
£500 - £600
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Data Scientist
London
2 Days in Office
Outside IR35
£500 – £600 Per Day
6 months long
The Company
They are a well-established media organisation with a strong presence across digital and traditional channels. The business is heavily invested in data and analytics, using insights to enhance audience experiences and support growth initiatives. They foster a collaborative environment where data science plays a key role in business strategy. You will join a team that values innovation, experimentation, and continuous learning.
The Role and Deliverables
- Build and deploy data science solutions to support audience growth, content optimisation, and commercial performance.
- Analyse large and complex datasets to identify trends, opportunities, and actionable insights.
- Develop predictive models and machine learning solutions to improve business decision-making.
- Collaborate with stakeholders across analytics, product, marketing, and commercial teams.
- Communicate findings through clear visualisations, presentations, and recommendations.
- Contribute to the development of best practices for data science and advanced analytics within the organisation.
Your Skills & Experience
- Strong experience applying statistical analysis and machine learning techniques to real-world business challenges.
- Advanced programming capability in Python and experience working with data science libraries.
- Strong SQL skills and experience working with large-scale datasets.
- Experience developing predictive models, segmentation frameworks, or recommendation systems.
- Ability to translate complex analytical findings into clear business recommendations.
- Experience using data visualisation tools to communicate insights effectively.
- Strong stakeholder management and communication skills.
- A proactive approach to problem-solving and delivering measurable business impact.
How to Apply
If you are interested in this Data Scientist opportunity and would like to learn more, please apply with your updated CV.
To Apply for this Job Click Here
Data Scientist (Contract)
London
£400 - £500
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Consumer Goods Data Scientist (Contract)
London
2 Days in Office
Outside IR35
£400 – £500 Per Day
6 months long
The Company
They are a well-established consumer goods business with a strong presence across multiple markets. The organisation is investing heavily in data and analytics to improve customer understanding, optimise commercial performance, and support strategic decision-making. You will join a collaborative team that values innovation, curiosity, and evidence-based thinking.
The Role and Deliverables
- Develop and deploy data science solutions to address customer, marketing, and commercial challenges.
- Build predictive models to support demand forecasting, customer behaviour analysis, and business planning.
- Analyse large datasets to identify trends, opportunities, and actionable insights.
- Partner with stakeholders across commercial, marketing, and analytics functions to translate business requirements into data-driven solutions.
- Present findings and recommendations to both technical and non-technical audiences.
- Support the continuous improvement of analytics methodologies, tools, and processes.
Your Skills & Experience
- Strong experience applying data science techniques within a consumer goods, retail, or customer-focused environment.
- Demonstrated capability in machine learning, statistical modelling, and predictive analytics.
- Proficiency with Python, SQL, and relevant data science libraries.
- Experience working with large and complex datasets to generate business value.
- Ability to communicate technical findings clearly to senior stakeholders.
- Experience delivering end-to-end data science projects from problem definition through to implementation.
- Strong commercial awareness and a data-driven approach to decision-making.
How to Apply
If you are interested in applying your data science expertise within a forward-thinking consumer goods environment, please submit your application for further information
To Apply for this Job Click Here
Data Scientist – FMCG, Distribution & Operations
London
£350 - £400
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Data Scientist
£400 per day | Outside IR35 | Six months | Remote, UK-based
We are working with a specialist Data Science consultancy that is looking for a Data Scientist to join a major engagement with a global FMCG business.
The role will focus on distribution and operations, using Data Science to improve areas such as logistics performance, forecasting, territory planning and operational decision-making.
This is a strong opportunity for a Data Scientist with three or more years of experience who has built solid technical foundations and is ready to take greater ownership of their work. You do not need to be the finished article, but you must be able to work independently, communicate confidently and apply Data Science to genuine business problems.
Working pattern
The role will be completed remotely from the UK. However, the end client’s main stakeholders are based on the US West Coast.
Candidates must be comfortable adjusting their working hours and remaining available until approximately 7pm UK time. This will provide at least two hours of daily overlap with the US team.
The company
The consultancy specialises in solving complex commercial problems through Data Science and advanced analytics.
You will join a small, experienced delivery team supporting an established global consumer goods business. The working environment is collaborative and fast-moving, with the opportunity to contribute to how analytical models, processes and products are developed.
The consultancy places significant value on attitude and personality. They are looking for someone who is approachable, proactive and able to build trusted relationships with technical and non-technical stakeholders.
The role
You will work across the full analytical lifecycle, including:
-
Working with stakeholders across Sales, Operations and Distribution to understand their challenges.
-
Turning loosely defined business problems into clear analytical plans.
-
Identifying, acquiring and assessing the quality of relevant data.
-
Using Python, SQL and Snowflake to explore and structure large datasets.
-
Building forecasting, classification, clustering, regression and optimisation models.
-
Developing repeatable analytical models and pipelines rather than one-off analyses.
-
Applying experimentation and causal inference methods to measure the impact of business decisions.
-
Connecting analytical outputs to measurable operational and commercial outcomes.
-
Presenting findings and recommendations clearly to non-technical stakeholders.
-
Managing your own work and providing proactive updates on progress, risks and dependencies.
-
Using tools such as Claude Code, Cursor or GitHub Copilot within a structured development workflow.
-
Contributing to daily stand-ups, planning sessions, technical discussions and peer reviews.
This is not a pure modelling position. You will be expected to understand the business problem behind the analysis and explain how your work should influence real decisions.
Your skills and experience
The successful candidate will have:
-
Three or more years of commercial Data Science or applied analytics experience.
-
Strong Python skills, including pandas, scikit-learn and common Data Science libraries.
-
Advanced SQL skills and experience working with large or varied datasets.
-
Commercial experience using Snowflake.
-
A good grounding in statistics, machine learning and model validation.
-
Experience applying forecasting, classification, clustering, regression or optimisation in a business environment.
-
Experience handling messy real-world data and making sensible decisions around data quality.
-
Practical experience using AI-assisted development tools such as Claude Code, Cursor, GitHub Copilot or similar.
-
Experience within FMCG, consumer goods, retail, logistics, distribution or supply chain.
-
Strong communication and stakeholder-management skills.
-
The ability to take ownership of a problem and deliver with limited supervision.
-
A personable, positive and collaborative working style.
-
Availability to work until approximately 7pm UK time.
Desirable experience
Experience in any of the following areas would be beneficial:
-
Distribution or logistics analytics.
-
Direct Store Delivery or route-to-market operations.
-
Time-series forecasting.
-
Mathematical optimisation or operations research.
-
Vehicle routing or territory planning.
-
Geospatial analytics.
-
Google OR-Tools, Gurobi or SciPy.
-
Streamlit, Shiny for Python or similar analytical applications.
-
Consulting or embedded client delivery.
Contract details
-
£400 per day.
-
Outside IR35.
-
Initial six-month contract.
-
Remote working from the UK.
-
Later working hours, with availability required until approximately 7pm UK time.
-
Two-stage interview process.
How to apply
Please apply with an up-to-date CV highlighting your experience with Python, SQL, Snowflake and applied Data Science within an operational, retail, FMCG, logistics or supply-chain environment.
To Apply for this Job Click Here
Senior Data Scientist
London
£60000 - £80000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Data Scientist – Leicester or London 1 day a week
We are currently supporting a large insurance company on a Senior Data Science role to sit within their pricing team. This role will challenge core pricing functions and create innovative ways to produce new pricing models using larger and more complex data sources to deliver more competitive pricing and better customer accessibility. It’s a small, fast‑paced team (6 people) working on more experimental and forward‑thinking pricing approaches.
Some of the exciting work includes:
- Alternative pricing models
- Footprint modelling / Geospatial modelling
- Residual modelling to identify gaps between predicted vs. actual claim costs
- Working with large, messy insurance datasets across multiple product lines
- Tools & tech: Python, SQL, AzureML, XGBoost
- Opportunity to mentor within the team
To Apply for this Job Click Here
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A trusted partner of professionals across the globe.
We understand the challenges our customers face and offer the
recruitment solutions needed to drive business success through Data & AI.
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
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 /
Market Research Analyst
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 – 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 /
Senior Data Engineer
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
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
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 – 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.
