FIND YOUR NEXT DATA SCIENCE JOB
We help the best talent in the Data Science market find rewarding careers.
Harnham is the best company for data science jobs because we are a global leader in data science recruitment.
Our extensive network of data science employers, and clients, ensuring you find the perfect match for your skills.
We offer a range of data science jobs from entry-level to director-level and have an experienced team of recruiters who will help match you with the right employer.
Also, we provide excellent resources and advice for data science job seekers, helping you prepare for interviews, negotiate salaries, and more.
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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!
Lead Data Scientist
London
£450 - £480
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Lead Data Scientist
England
£450-£480 Outside IR35
Remote
The Company
They are a specialist organisation working at the forefront of AI-driven customer engagement. Their focus is on enabling highly personalised, real-time decisions across digital channels using advanced analytics and machine learning. The business combines deep domain expertise with strong delivery capability, supporting enterprise clients across multiple sectors.
The Role and Deliverables
You will take ownership of end-to-end data science delivery, from problem definition through to deployment in live environments.
* Design, build, and deploy machine learning models within Pega-based decisioning platforms.
* Lead model development across feature engineering, training, validation, and ongoing performance monitoring.
* Work closely with application and logic developers to embed models into operational decision workflows.
* Develop statistical and machine learning models for personalisation, propensity scoring, and next-best-action use cases.
* Design and run experiments, including A/B testing, to quantify business impact.
* Provide technical leadership and mentoring to other data scientists, while engaging confidently with client stakeholders.
Your Skills and Experience
* Strong experience delivering data science solutions in client-facing or consulting environments.
* Advanced capability in Python and or R, with hands-on use of modern machine learning libraries.
* Deep understanding of statistical modelling, experimentation, and model evaluation techniques.
* Experience deploying and operating models on cloud platforms such as AWS, GCP, or Azure.
* Proven ability to communicate complex technical concepts to non-technical audiences.
* Experience with Pega Customer Decision Hub and Adaptive Decision Manager in production environments is highly desirable.
* Exposure to real-time decisioning, customer engagement, or personalisation use cases is advantageous.
* Familiarity with MLOps practices and model monitoring frameworks is beneficial.
How to Apply
If you are looking for a senior data science role where you can combine technical depth with real client impact, apply now to learn more.
To Apply for this Job Click Here
Principal Data Scientist
$190000 - $220000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Principal Data Scientist – GenAI & Personalization
Remote (US) | $190k-$220k + 15% bonus
My client is a large, mission-driven learning technology organization reinventing itself as an AI‑first platform. Generative AI, personalization, and data science are now at the core of how millions of students learn – and they’re hiring a Principal Data Scientist to lead from the front.
This is a true hands-on principal IC role: deep technical ownership, real influence, no line management.
Why this role stands out
- Own and shape a core AI capability – scope built around your strengths
- Work on customer-facing GenAI products used at massive scale
- Strong leadership air cover – minimal meetings, protected focus time
- High-visibility work with real-world impact in education
What you’ll do
- Design and build GenAI systems that translate education standards into structured learning objectives
- Improve AI-driven assessments, content generation, and personalization engines
- Apply rigorous statistics to messy human data – and make it production-ready
- Partner closely with engineering on deployment, testing, and optimization
What they’re looking for
- PhD in Statistics or a highly quantitative field
- Strong generative AI experience (personalization or content generation a big plus)
- Excellent Python and end-to-end ownership – research → production → impact
- Clear communicator who can influence both technical and non-technical teams
- 4-5 years post-PhD industry experience
Bonus points for: MLOps, AWS/Databricks, or education experience (not required)
Logistics
- Fully remote (US-based)
- US Citizen or Green Card only (no sponsorship)
- Core availability: 11am-5pm EST
If you want principal-level ownership, meaningful scale, and the chance to define how GenAI shows up in real learning products – this role is built for that.
To Apply for this Job Click Here
Principal Data Scientist
$190000 - $210000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
About the Role
We’re looking for a Principal Data Scientist to lead the development of AI-powered products that transform how students and educators experience learning. You’ll work at the intersection of generative AI, personalization, and educational content, building systems that adapt to individual learners at scale. This is a high-visibility, hands-on role where your work directly shapes product direction and student outcomes.
What You’ll Do
- Design and build AI/ML systems for personalization and content generation across education products
- Architect end-to-end machine learning pipelines, from data ingestion to model deployment and monitoring
- Lead the implementation of GenAI solutions, ensuring responsible use through AI guardrails and safety frameworks
- Partner cross-functionally with product, engineering, and curriculum teams to translate learning science needs into scalable AI solutions
- Drive MLOps best practices including CI/CD for models, experiment tracking, and production monitoring
- Mentor and technically guide junior data scientists and ML engineers across the org
What We’re Looking For
- PhD in Statistics, Mathematics, Computer Science, or another quantitative field
- 5+ years of professional data science experience outside of a PhD program
- Strong hands-on Python and SQL skills – you’re comfortable writing production-grade code
- Experience with Databricks (or equivalent distributed compute platforms) and AWS (or comparable cloud infrastructure)
- Demonstrated experience with generative AI, ideally applied to personalization or recommendation problems
- Familiarity with AI guardrail frameworks and responsible AI practices
- Solid MLOps experience: model versioning, deployment pipelines, monitoring, and retraining workflows
- Strong system design ability – you can architect solutions that scale and communicate those designs clearly to stakeholders
Nice to Have
- Experience in edtech, consumer personalization, or content generation platforms
- Familiarity with LLM fine-tuning, RAG architectures, or prompt engineering at scale
- Background in learning science, adaptive learning systems, or curriculum design
To Apply for this Job Click Here
Senior AI Engineer
London
£110000 - £120000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior AI Engineer
London (Hybrid) Competitive salary between £110,000 and £120,000 plus benefits
This is a rare chance to join a newly formed AI Lab at an early stage, where you will help shape how generative AI is applied to high quality, content rich products. You will work close to design, product and editorial partners, shipping zero to one AI systems that directly influence real user experiences.
The Company
They are a recognised organisation known for intellectual rigour, independence and innovation. Operating across media, education and enterprise insight, they reach audiences in over 170 countries. The business is investing in advanced AI capabilities to explore new ways of delivering trusted information while maintaining the highest editorial standards. A dedicated AI Lab has been created to push beyond the existing roadmap and experiment with what is next.
The Role
As a Senior AI Engineer, you will be a core technical contributor within the AI Lab, focusing on building and refining LLM powered systems.
- Build, fine tune and evaluate LLM based systems with a strong focus on editorial tone and style alignment
- Design and manage datasets for fine tuning, including annotation and versioning workflows
- Develop and test retrieval augmented generation pipelines using structured content
- Prototype text to speech and audio generation pipelines for audio first experiences
- Collaborate closely with product, design and engineering partners to ship internal tools and demos
- Work directly with editorial stakeholders to define meaningful evaluation criteria for AI generated content
Your Skills and Experience
- Strong commercial experience building LLM or NLP pipelines in production or advanced prototype environments
- Hands on experience with fine tuning approaches such as supervised fine tuning, prompt or instruction tuning
- Strong Python skills and experience with modern LLM tooling and data pipelines
- Confidence defining and tracking generation quality using both quantitative and qualitative evaluation methods
- Exposure to speech to text or text to speech tools for prototyping audio experiences
- Comfortable working in ambiguity and collaborating with non technical stakeholders
What They Offer
- Competitive salary and comprehensive benefits package
- Hybrid working with 3 days per week in a London office
- Strong pension, private healthcare and wellbeing support
- Flexible working benefits including work from anywhere options
How to Apply
Apply below or email me at
To Apply for this Job Click Here
Data Scientist
City of London
£50000 - £65000
+ Data Science & AI
PermanentCity of London, London
To Apply for this Job Click Here
Data Scientist
London, Hybrid Working
This is an opportunity to join a growing data and analytics team where your work directly influences commercial decisions and customer engagement. You will combine advanced analytics with practical insight, helping organisations turn complex data into clear, actionable outcomes. The role offers variety, visibility, and the chance to develop your skills across a broad range of projects and industries.
The role:
- Deliver insight and analysis that supports data driven marketing and commercial decision making.
- Build and apply predictive models and machine learning techniques to optimise client strategies.
- Prepare, cleanse, and manipulate data from multiple sources to ensure it is analysis ready.
- Translate analytical findings into clear stories for both technical and non technical audiences.
Your Skills & Experience
- Strong commercial experience in data analysis or data science.
- Confident using Python or R for statistical analysis and modelling.
- Solid understanding of statistical methods and predictive modelling techniques.
- Experience working with SQL and data visualisation or BI tools.
- Ability to communicate insight clearly and work collaboratively with a range of stakeholders.
- A proactive, solutions focused mindset with strong attention to detail.
To Apply for this Job Click Here
Data Scientist
Birmingham
£55000 - £65000
+ Data Science & AI
PermanentBirmingham, West Midlands
To Apply for this Job Click Here
Are you a Data Scientist who enjoys building real‑world models that drive commercial decisions, not just experimentation? I’m hiring for a Data Scientist to join a leading data and analytics consultancy working across customer insight, marketing, and predictive modelling.
This is a brilliant opportunity to work on high‑impact data products, combining advanced analytics, business understanding, and client‑facing delivery in a collaborative, product‑focused environment.
The company
This is a well‑established data consultancy that sits at the intersection of data provision, analytics, and product development. They work with high‑volume customer data across sectors like utilities, telecoms, financial services, and charities – using data to solve real commercial problems and drive better decisions.
They’ve built out a Customer Intelligence Platform, where data science, analytics, and product teams collaborate to create scalable, reusable data products.
Where you fit
You’ll sit within the Data Science team, working closely with Product Managers, Data Analysts, and subject‑matter experts.
This is a hands‑on modelling role with strong client interaction, where you’ll take problems from discovery through to delivery – combining technical expertise with commercial thinking.
What you’ll be doing
- Build predictive models (often propensity modelling / scoring models) to solve real customer and business problems
- Work directly with clients to understand challenges, run discovery sessions, and shape analytical approaches
- Develop and refine models, including training, testing, and optimisation
- Lead rapid prototyping and proof‑of‑concept work using Databricks notebooks
- Define features, model structures, and scoring outputs for data products
- Translate analytical outputs into clear, actionable insights and presentations for clients
- Contribute to the development of scalable, reusable data products within the platform
Example project
You might build a model that predicts which customers are most likely to repay debt, then segment them to determine the best engagement strategy – using behavioural and demographic patterns to optimise outcomes.
Tech stack
- Python & SQL (essential)
- Databricks (core analytics environment)
- Azure‑based data platform (with flexibility depending on client environments)
What you bring
Must‑haves
- 3+ years experience in data science
- Strong Python and SQL skills
- Experience building and evaluating predictive models
- Understanding of data modelling and feature engineering
- Ability to translate data into clear commercial insight and recommendations
- Confident communicator – comfortable working directly with clients
- Consultancy or client‑facing experience
Nice to have
- Experience with Databricks or cloud platforms (Azure, etc.)
- Background in customer, marketing, or transactional data
- Exposure to industries like telecoms, financial services, or utilities
Why this role
- Work on end‑to‑end data science projects – not just isolated modelling
- Strong balance of technical work and commercial impact
- Opportunity to contribute to product development and innovation
- Exposure to multiple clients, industries, and use‑cases
- Collaborative team environment with analysts, SMEs, and product teams
Working pattern
- Hybrid: 1 day per week in London
- Open to candidates based in the Midlands who can commute weekly
- Additional flexibility for the right candidate
- UK travel to clients may be required depending on project work
To Apply for this Job Click Here
Lead Data Scientist
Leeds
£70000 - £90000
+ Data Science & AI
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
AI Engineer / Data Scientist
3 days in Leeds or Nottingham
We are working with a leading data and analytics organisation supporting banks and lenders by analysing large‑scale consumer and transactional data.
The Role
You’ll join a specialist AI & Machine Learning team building modern credit risk and decisioning models. The focus is on moving beyond traditional scorecards to advanced ML and AI techniques applied to real‑world lending problems.
Key Responsibilities
- Build and enhance credit risk and lending models
- Apply ML and AI techniques including predictive modelling, clustering, segmentation, and transformer‑based models
- Modernise legacy models using Python‑based ML approaches
- Collaborate with product and engineering teams to deploy models into production
Required Experience
- Background in banking, fintech lending, credit bureaus, or consulting with lending experience
- Hands‑on experience building credit risk models
- Strong Python and SQL skills
- Experience using ML and AI models in regulated environments
Logistics:
- 3 days in office in either Leeds or Nottingham
To Apply for this Job Click Here
AI Consultant
Leeds
£70000 - £90000
+ Data Science & AI
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
AI Consultant
Leeds or Nottingham | Hybrid working (3 days in office, Tuesday to Thursday)
The Company
They are a well established organisation operating at the centre of data driven decision making, supporting businesses to make more accurate and responsible choices. With access to large, complex datasets, they play a critical role in enabling better outcomes across financial services and beyond. The AI Lab is a newer function within the wider Data and Analytics group, created to accelerate innovation and integrate AI more deeply into products and client work. The culture is collaborative, stable and long term focused, with strong investment in people.
The Role
- Design, develop and enhance AI and machine learning models to support lending and credit decisioning.
- Work on a wide range of AI initiatives including predictive modelling, scorecards, chatbots and transformer based approaches.
- Carry out research and development to explore how AI can be used as an alternative or improved solution to existing processes.
- Contribute to new product innovation, including the development of new predictive models and tools.
- Collaborate with stakeholders across data, analytics and the wider business to embed AI into client work and internal projects.
- Present technical concepts and findings clearly to both technical and non technical audiences.
Your Skills & Experience
- Strong commercial experience in credit risk within a lender, fintech or credit bureau environment.
- Proven capability in developing models, particularly scorecards or similar predictive models.
- Hands on experience with AI and machine learning, such as LLMs, AI chatbots or advanced ML techniques.
- Evidence of applying AI to solve real business problems within lending, credit or collections.
- Strong programming skills in Python and SQL.
- Confident communicator, comfortable presenting and explaining complex ideas.
What They Offer
- Hybrid working model with a structured in office presence three days per week.
- Exposure to varied, high value AI work across multiple business areas and industries.
- Opportunity to join a growing AI Lab with genuine influence over future direction and innovation.
- A supportive, long term focused environment with strong retention and career development.
How to Apply
Apply now to find out more about this key AI Consultant opportunity and how it could fit your next career move.
To Apply for this Job Click Here
Senior AI Consultant – Credit Risk
London
£80000 - £90000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
AI Consultant
London, 3 days in the office| Salary between £80,000 and £90,000
This is a high-impact opportunity to join a newly established AI lab within a large, data-rich organisation, where AI is central to future product innovation and client delivery. Sitting at the senior end of the consultant band, this role offers real influence over how advanced analytics and AI are applied to complex, real-world lending decisions.
The Company
They are a well-established data and analytics organisation operating at scale across financial services and adjacent industries. With access to extensive proprietary datasets, they support clients in making more accurate, responsible decisions through advanced analytics and modelling. Their AI lab is a growing centre of excellence designed to accelerate innovation and embed AI across the wider business.
The Role
You will play a key role in developing and enhancing AI-driven solutions used across client and internal projects, with a strong focus on credit and lending use cases.
Responsibilities include:
- Designing and building AI and machine learning models to support lending, risk, and decisioning strategies.
- Developing and enhancing predictive models, including scorecards and other risk-focused approaches.
- Applying techniques such as LLMs, transformers, and applied ML to real business problems such as automation and decision support.
- Leading research and development activity for new AI-led solutions and product concepts.
- Communicating complex analytical outputs clearly through presentations, written outputs, and stakeholder discussions.
- Collaborating closely with analytics, engineering, and product teams across the organisation.
Your Skills and Experience
- Strong commercial experience in credit risk modelling within a lender, fintech, or credit bureau environment.
- Proven capability in developing predictive models, including scorecards or similar risk models.
- Hands-on experience applying AI or machine learning, such as LLMs, chatbots, or advanced ML techniques, to business problems.
- Strong Python and SQL skills for data analysis and model development.
- Experience exploring alternative or innovative AI-driven approaches to solve challenges within lending or collections.
- Confidence working autonomously and contributing at a senior consultant level.
What They Offer
- Salary between £80,000 and £90,000
- A key role within a growing AI lab with strong visibility and long-term progression opportunities.
- Exposure to a wide variety of projects across financial services and other data-intensive sectors.
- A collaborative, inclusive culture with strong retention and long-term career development.
How to Apply
Apply bellow or email me at
To Apply for this Job Click Here
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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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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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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.
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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.
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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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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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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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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.
