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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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.
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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!
Forward Deployed Engineer
London
£80000 - £130000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
AI Forward Deployed Engineer
Remote (UK) | £80,000 to £130,000 base salary
This is a rare opportunity to join an AI-first TechBio company at a pivotal stage of growth, where you will sit at the intersection of advanced machine learning, real-world deployment, and enterprise customer impact. The role is ideal for someone who enjoys solving complex technical problems in live customer environments and turning those solutions into scalable platform capabilities.
The Company
They are an AI-driven TechBio organisation focused on transforming pharmaceutical research and development. Their platform applies natural language processing, large language models, and knowledge graph technology to structure insights from vast volumes of scientific literature. Working with enterprise pharmaceutical customers globally, they enable faster and more informed drug discovery through robust, production-grade AI systems. The business operates as a fully remote organisation with a highly collaborative, cross-disciplinary team.
The Role
As an AI Forward Deployed Engineer, you will play a critical role in ensuring enterprise customers successfully integrate and deploy the company’s AI platform into their environments. You will balance hands-on customer delivery with contributions to the core engineering platform.
Key responsibilities include:
- Leading end-to-end technical delivery for enterprise customer integrations, from early trials through to production deployment
- Designing and implementing AI-driven integrations, including LLM, agent-based, and retrieval workflows
- Partnering with customer technical teams to understand requirements and deliver robust, scalable solutions
- Translating recurring customer needs into productised features within the core platform
- Collaborating closely with internal engineering, data science, and commercial teams to shape solution design and delivery
Your Skills and Experience
You will bring strong commercial experience delivering AI or machine learning systems into production, combined with the ability to work confidently in customer-facing environments.
Key capabilities include:
- Hands-on experience deploying NLP or LLM-powered features in production environments
- Strong knowledge of retrieval-augmented generation systems, retrieval and recommendation architectures, and vector databases
- Experience building, debugging, and maintaining end-to-end LLM workflows
- Familiarity with graph databases and modern cloud data warehouses
- Confidence designing integration architectures across APIs, data platforms, and enterprise infrastructure
- Excellent stakeholder management skills, with the ability to communicate complex technical concepts clearly
What They Offer
- Base salary between £80,000 and £130,000
- Fully remote working environment
- Exposure to enterprise-scale AI deployments within the life sciences sector
- The opportunity to influence both customer outcomes and the evolution of a core AI platform
- A collaborative, high-impact environment with clear scope for professional growth
How to Apply
If you are excited by customer-facing AI engineering roles and want to work on meaningful, production-grade machine learning systems, apply now to learn more about this opportunity
To Apply for this Job Click Here
Data Scientist
£45000 - £48000
+ Data Science & AI
PermanentMerseyside
To Apply for this Job Click Here
Data Scientist
£45,000 – £48,000
Hybrid – Merseyside (3 days per week in the office)
This is a strong opportunity for a commercially minded Data Scientist to join a business at a
genuine inflection point in its Data and AI journey. You will play a key role in moving the organisation from ad-hoc analytics to a scalable, production-led Data Science capability, with clear backing from leadership and real-world use cases already live.
The Company
They are a large retail organisation undergoing a significant data and AI transformation. With a new customer loyalty programme launching this year, demand for advanced modelling, forecasting and personalisation is growing quickly. The culture is collaborative, inclusive and pragmatic, with a strong focus on delivering value at pace rather than over-engineering solutions. Getting models into production and driving measurable impact is a core priority.
The Role
You will work hands-on within a small but growing Data Science function, partnering closely with the Data Science Lead, another Data Scientist, and wider data and commercial teams.
Key responsibilities include:
- Designing and building customer-focused Data Science use cases such as segmentation, lifetime value modelling and demand forecasting
- Developing, testing and deploying machine learning models end to end, from problem definition through to production
- Contributing to the development of a new Data Science platform and helping shape best practice as the function matures
- Working closely with Data Engineers and Analysts to ensure data quality, scalability and smooth model deployment
- Engaging with commercial and customer stakeholders to translate business problems into practical modelling solutions
- Communicating insights, model outputs and business impact clearly to non-technical audiences
Your Skills and Experience
To succeed in this role, you will bring a practical, business-led approach to Data Science.
Key requirements include:
- Strong commercial experience using Python for Data Science and machine learning
- Solid SQL skills and confidence working with large, complex datasets
- End-to-end Data Science experience, including taking models into production
- Experience applying statistical modelling or machine learning to real business problems
- Confidence working with stakeholders and explaining technical concepts in a clear, credible way
Nice to have:
- Exposure to cloud platforms such as GCP or Azure
- Experience with model deployment tools such as Vertex AI or Azure ML
- Any background in customer analytics, forecasting or personalisation
What They Offer
- Salary of £45,000 to £48,000
- Hybrid working, with three days per week on site in Knowsley
- The chance to help build a Data Science capability from an early stage
- High visibility work tied directly to customer and commercial outcomes
- Clear opportunity to grow alongside the team as Data Science scales across the business
How to Apply
If you are a hands-on Data Scientist looking to work on production-focused, customer-led use cases in a collaborative environment, apply now to find out more.
To Apply for this Job Click Here
Senior Scientific Data Scientist
Didcot
£400 - £600
+ Data Science & AI
ContractDidcot, Oxfordshire
To Apply for this Job Click Here
Senior Scientific Data Scientist / Pipeline Engineer
Remote / Hybrid Oxford
6 Month Contract
Outside IR35
£400 to £550 per day
Overview
A technology-enabled drug discovery company is looking for a Senior Scientific Data Scientist to design, build and maintain the analytical pipelines that power its data-driven discovery platform.
The business combines automated wet-lab experimentation, proprietary analytical pipelines and deep scientific expertise to generate high-quality, reproducible biological datasets at scale. This data supports AI-driven discovery work across areas including oncology, immunology and neurodegeneration.
This role would suit a scientist-turned-coder or scientific data scientist with strong Python skills, statistical modelling experience and a background working with bioassay or experimental biology data.
The Role
You will build and improve Python-based analytical pipelines for diverse bioassay datasets, including biochemical, biophysical and cell-based assays.
You will work closely with wet-lab scientists to understand assay logic, experimental design and data handover processes, then translate those workflows into automated, reproducible analysis pipelines.
The work will involve dose-response modelling, curve fitting, QC, normalisation, plate-level statistics and data validation, helping scientists generate clearer, faster and more reliable insight from complex experimental data.
Key Responsibilities
- Build, maintain and extend Python-based analytical pipelines for bioassay datasets
- Develop statistical and modelling workflows, including dose-response modelling, 4PL curve fitting and mechanistic models
- Build QC, normalisation and data validation frameworks for experimental biology data
- Support plate-level statistics and analysis of high-throughput assay outputs
- Translate wet-lab scientific workflows into reproducible automated pipelines
- Improve data structures, file preparation and analysis readiness
- Partner with wet-lab scientists to understand assay design and experimental logic
- Clearly communicate analytical choices, QC decisions and modelling approaches
- Build robust, documented and reusable scientific software
Essential Skills
- Strong Python experience for scientific computing
- Experience with Pandas, NumPy, SciPy and visualisation libraries such as Matplotlib or Seaborn
- Experience analysing bioassay, assay or experimental biology data
- Understanding of dose-response modelling, curve fitting, 4PL, EC50 / IC50 or similar
- Experience with QC, normalisation, data validation or plate-level statistics
- Experience building reproducible analytical pipelines or automated workflows
- Good software engineering habits, including Git, documentation and reproducibility
- Ability to work closely with wet-lab scientists and translate scientific requirements into computational workflows
Nice to Have
- Experience with 384-well or 1536-well plate-based assay data
- lmfit, Pandera, scikit-learn, Biopython or RDKit
- Background in drug discovery, biotech, pharma or CRO environments
- Experience across biophysics, cell biology, enzymology, oncology or immunology
- Experience with high-throughput screening, assay validation or automated lab platforms
The Candidate
The ideal candidate will be scientifically fluent and technically hands-on. You may come from a scientific data science, computational biology, bioinformatics, research software engineering or scientific software background.
You should be comfortable working with complex experimental data, applying statistical rigour and building tools that improve speed, reproducibility and scientific insight across a multidisciplinary team.
To Apply for this Job Click Here
Data Scientist (open to Advanced Analytics backgrounds)
Knowsley
£40000 - £50000
+ Data Science & AI
PermanentKnowsley, Merseyside
To Apply for this Job Click Here
I’m hiring a Data Scientist for a large, well‑known UK business investing heavily in its data, analytics, and AI capability.
This is a brilliant opportunity for someone from an advanced analytics background who’s started moving into modelling and wants to take the next step into a true data science role – working on real use cases like customer segmentation, forecasting, and personalisation.
The company
A major UK business with a strong national presence, currently building out its data and analytics function under a new leadership team.
There’s a big focus on using data to drive customer strategy and commercial performance, particularly with the launch of a new loyalty programme later this year – creating real demand for modelling and insight.
Where you fit
You’ll sit within a growing Data Science & Analytics team, reporting into the Data Science Lead and working closely with the Head of Data & Analytics.
This is an early hire in the data science journey, so you’ll have:
- Real ownership
- Exposure to end‑to‑end projects
- The opportunity to help shape how modelling is applied across the business
What you’ll be doing
- Build and apply models across key retail use cases such as:
- Customer segmentation
- Customer lifetime value modelling
- Demand forecasting
- Work with stakeholders to define business problems and translate them into analytical solutions
- Develop models using Python + SQL
- Support moving models towards production (with guidance from the team)
- Contribute to the development of personalisation and loyalty analytics strategies
- Work across the full lifecycle: problem → modelling → insight → business impact
What you bring
Must‑haves
- 2-4 years’ experience in analytics / data roles
- Strong SQL
- Experience using Python (preferred) or R for modelling
- Experience building models (e.g. regression, segmentation, forecasting)
- Ability to break down business problems and apply analytical thinking
- Strong communication skills – able to work with non‑technical stakeholders
Nice to have
- Exposure to loyalty programmes
- Any experience taking models toward deployment
- Strong academic background in a quantitative subject
Why this role
- Step up into a true data science role from analytics
- Work on real, high‑impact use cases tied to a major loyalty programme launch
- Join at an early stage of the data science journey
- Strong mentorship from experienced leaders
- Opportunity to grow with the team as it scales
Working style
- Based in Knowsley
- 3 days per week onsite
- Collaborative, fast‑growing team environment
Interview process
- Initial call with Hiring Manager (CV walkthrough)
- Onsite technical interview with leadership team
If you’re an analyst who’s started building models and wants to properly step into data science, this is a great opportunity to do it in a supportive but impactful environment.
To Apply for this Job Click Here
Data Scientist
£45000 - £50000
+ Data Science & AI
PermanentMerseyside
To Apply for this Job Click Here
Data Scientist
£45,000-£50,000
Merseyside (Hybrid – 3x Days a Week in Office)
Looking for a Data Science role where your models will actually make it into production? This is an opportunity to join a major UK retail business at a pivotal stage in its Data Science and AI transformation. With a new loyalty programme launching and significant investment into customer analytics, the business is building a scalable Data Science capability focused on real commercial impact
THE COMPANY
This established UK retail brand is investing heavily across Data Science, analytics, and AI as part of a wider business transformation. The organisation is moving away from ad-hoc analytics and building a modern Data Science function capable of supporting customer personalisation, forecasting, and smarter commercial decision-making at scale. The culture is collaborative, pragmatic, and delivery-focused, with a strong emphasis on getting models into production and creating measurable business value.
THE ROLE
You’ll join a growing Data Science team, working closely with the Lead Data Scientist alongside analytics, engineering, and commercial stakeholders across the business. This is a hands-on mid-level Data Scientist role focused on developing and deploying customer-focused machine learning models.
Projects include:
- Customer segmentation
- Customer Lifetime Value (CLTV) modelling
- Demand forecasting
- Propensity modelling
- Targeted promotions and campaign optimisation
- Data Science initiatives linked to a major new loyalty programme
The team are still early in their Data Science journey, making this an excellent opportunity for someone who enjoys building scalable solutions and helping shape best practices.
YOUR SKILLS & EXPERIENCE
The business are open to strong Advanced Analytics candidates looking to transition further into Data Science
- Strong Python experience
- Experience building predictive or customer-focused models
- A practical and commercially minded approach to Data Science
Nice to have:
- Cloud exposure (GCP or Azure)
- Experience with Vertex AI or Azure ML
THE BENEFITS
- Up to £50,000
HOW TO APPLY
Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.
To Apply for this Job Click Here
Staff Finance Data Scientist – Consumption Forecasting
San Francisco
$240000 - $300000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
Staff Data Scientist, Finance – Consumption Forecasting
Location: San Francisco or New York | Hybrid (3 days per week in office)
Salary: $240-300k base + bonus + equity (RSUs)
This is a rare chance to own forecasting infrastructure at the center of a high-growth, consumption-based developer platform, one that powers some of the world’s most dynamic applications and scales with every developer and enterprise building on it.
As a consumption-based business, forecasting usage across compute, bandwidth, edge, and storage isn’t a support function. It’s foundational to how we plan infrastructure, revenue, and long-term strategy. This role exists to lead that work at the highest level.
What you’ll own
This is a senior individual contributor role with organization-wide impact. You’ll define forecasting methodology, build systems that scale with a rapidly growing platform, and sit at the intersection of Finance, Infrastructure, Product, and GTM with direct visibility to executive leadership.
- Own production revenue forecasting end-to-end: model development, backtesting, deployment, monitoring, and iteration from first principles to live system
- Build forecasting systems that account for usage-based pricing dynamics, consumption patterns, and customer lifecycle across the platform, built for how this business actually works, not retrofitted SaaS models
- Design hierarchical forecasting models across account, cohort, segment, and global aggregate levels, covering operational, quarterly, and long-range planning cycles
- Establish backtesting, monitoring, and explainability standards that make forecast accuracy transparent and defensible
- Build scenario simulation frameworks to evaluate pricing changes, packaging adjustments, and product launches
- Partner with Finance on board-level reporting, with Infrastructure Engineering on capacity planning, and with Product and GTM on adoption curves and usage drivers
- Set forecasting best practices across the broader Data organization
What we’re looking for
- 7+ years in data science, quantitative analytics, or applied statistics at senior or staff level
- Deep expertise in time-series forecasting and statistical modelling in a usage-based or SaaS environment
- Proven track record building and productionizing ML systems at scale
- Strong Python and SQL, with experience on large-scale usage and billing datasets
- Familiarity with probabilistic modelling, hierarchical forecasting, and causal inference
- Experience partnering with Finance or executive leadership on planning cycles
- Comfortable operating autonomously in fast-moving, ambiguous environments
Nice to have
- Background in cloud infrastructure, developer tools, or consumption-based revenue models
- Familiarity with modern data stacks: Snowflake, Delta Lake, dbt, Airflow
- Prior technical mentorship or informal leadership experience
To Apply for this Job Click Here
Data Scientist
Eindhoven
€75000 - €84000
+ Data Science & AI
PermanentEindhoven, North Brabant
To Apply for this Job Click Here
Data Scientist
Eindhoven, hybrid (2 days per week on site) | €78,000 base salary, up to €84,000 total package
This is a standout opportunity for a client facing Data Scientist who enjoys combining hands on analytics with advisory work. You will sit at the intersection of data science, marketing and consulting, helping translate complex modelling into clear, commercially relevant insights for senior stakeholders. With strong demand for data driven marketing projects, this role offers genuine impact and visibility.
The Company
They are a large, established media and marketing organisation with a strong data culture and a core data function of around 50 specialists. Alongside this, a small centralised data science team is being built to support high impact internal and client projects. The environment blends the pace of consulting with the depth of advanced analytics, working closely with marketing and media teams.
The Role
- Act as a client facing Data Scientist supporting a growing portfolio of marketing and media projects.
- Translate business and marketing questions into robust data science approaches and clear insights.
- Lead and contribute to projects such as marketing mix modelling, lift studies, attribution and experimentation.
- Apply clustering and segmentation techniques to support audience and performance strategies.
- Advise stakeholders on measurement frameworks, methodologies and implementation.
- Balance hands on analysis and modelling with client consulting and communication.
Your Skills and Experience
- Strong commercial experience as a Data Scientist or Data Analyst in a client facing or advisory environment.
- Proven ability to communicate complex analytical outputs to non technical stakeholders.
- Experience working on marketing or media related analytics such as MMM, attribution, experimentation or similar.
- Confident using Python and SQL for analysis and modelling.
- Solid statistical modelling capability without needing to be a dedicated machine learning engineer.
- Fluent Dutch and English, with the ability to operate professionally in both languages.
What They Offer
- No regular client travel, with clients invited on site for workshops and reviews.
- Strong career development within a growing data science and consulting function.
How to Apply
Apply now to discuss how this client facing Data Scientist role could be the next step in your data and consulting career.
This is a standout opportunity for a client facing Data Scientist who enjoys combining hands on analytics with advisory work. You will sit at the intersection of data science, marketing and consulting, helping translate complex modelling into clear, commercially relevant insights for senior stakeholders. With strong demand for data driven marketing projects, this role offers genuine impact and visibility.
The Company
They are a large, established media and marketing organisation with a strong data culture and a core data function of around 50 specialists. Alongside this, a small centralised data science team is being built to support high impact internal and client projects. The environment blends the pace of consulting with the depth of advanced analytics, working closely with marketing and media teams.
The Role
- Act as a client facing Data Scientist supporting a growing portfolio of marketing and media projects.
- Translate business and marketing questions into robust data science approaches and clear insights.
- Lead and contribute to projects such as marketing mix modelling, lift studies, attribution and experimentation.
- Apply clustering and segmentation techniques to support audience and performance strategies.
- Advise stakeholders on measurement frameworks, methodologies and implementation.
- Balance hands on analysis and modelling with client consulting and communication.
Your Skills and Experience
- Strong commercial experience as a Data Scientist or Data Analyst in a client facing or advisory environment.
- Proven ability to communicate complex analytical outputs to non technical stakeholders.
- Experience working on marketing or media related analytics such as MMM, attribution, experimentation or similar.
- Confident using Python and SQL for analysis and modelling.
- Solid statistical modelling capability without needing to be a dedicated machine learning engineer.
- Fluent Dutch and English, with the ability to operate professionally in both languages.
What They Offer
- No regular client travel, with clients invited on site for workshops and reviews.
- Strong career development within a growing data science and consulting function.
How to Apply
Apply now to discuss how this client facing Data Scientist role could be the next step in your data and consulting career.
To Apply for this Job Click Here
Lead AI Engineer
Pittsburgh
$175000 - $200000
+ Data Science & AI
PermanentPittsburgh, Pennsylvania
To Apply for this Job Click Here
Lead AI Engineer
$200,000
Location: Pittsburgh, PA (Onsite)
THE COMPANY
A high‑growth, mission‑driven technology organisation is expanding its advanced AI function. The team specialises in building intelligent autonomous systems designed to operate across complex workflows and high‑stakes environments. Engineers here work on cutting‑edge agentic technologies with significant ownership and impact.
THE ROLE
As the Lead AI Engineer, you’ll guide a specialised engineering team responsible for designing, building, and deploying next‑generation agentic AI systems. You will lead technical strategy, architecture decisions, and hands‑on development, while also mentoring engineers and driving best‑in‑class standards for performance, reliability, and scalability.
You’ll oversee the development of agents capable of long‑horizon planning, tool‑use, memory, and coordination across multi‑agent environments, ensuring they can operate effectively in real‑world mission‑critical settings.
KEY RESPONSIBILITIES
- Lead the design and development of agentic AI systems from conception through production
- Architect multi‑agent systems with planning, routing, memory, and complex tool‑use
- Build modular “skills” and components that plug into backend systems and data pipelines
- Establish evaluation frameworks, telemetry systems, and observability tools for agent behaviour
- Guide Agile processes, technical planning, and day‑to‑day engineering execution
- Partner with product and delivery teams to solve complex operational challenges
- Provide mentorship and technical leadership to engineers and data scientists
EXPERIENCE REQUIRED
- Several years of experience building and deploying ML or LLM‑powered systems in production
- Experience leading or mentoring engineering teams
- Demonstrated expertise in LLM integration and agentic system development
- Strong Python engineering skills
- Hands‑on experience with cloud infrastructure (AWS preferred)
- Familiarity with LLM algorithms, scaling patterns, and system reliability
- Ability to operate autonomously in high‑pace, ambiguous environments
- Comfortable with Git and modern engineering workflows
DESIRABLE EXPERIENCE
- Experience designing or deploying complex multi‑agent architectures
- Exposure to startup or high‑growth engineering cultures
- Experience with GenAI coding tools or best practices for agentic systems
- Eligibility to work in secure or sensitive environments
THE OFFER
- Ownership over next‑generation agentic AI strategy and architecture
- Opportunity to lead a high‑impact engineering team
- Work with cutting‑edge LLM and agentic technologies
- Fast‑paced environment with strong technical autonomy
To Apply for this Job Click Here
Head of Data Science
Leicester
£11000 - £130000
+ Data Science & AI
PermanentLeicester, Leicestershire
To Apply for this Job Click Here
Head of Data Science
A leading ecommerce organisation is seeking an exceptional Head of Data Science to define and deliver the data vision across a fast‑growing digital environment. This is a high‑impact leadership role focused on converting rich datasets into commercial advantage and world‑class customer experiences.
About the role:
You will lead the development of data architecture, models, analytics and reporting that underpin key digital products and customer journeys. Your work will accelerate performance across areas such as:
- Digital advertising platforms
- Product search and recommendation engines
- Personalisation across web, email, and marketing
- Data‑driven commercial optimisation
Responsibilities:
- Strategic Leadership; owning and driving the data science roadmap
- Lead the design and architecture of agentic models
- Influence decision making across the business
- Partner with senior leaders to set long-term strategy
- Lead & Develop a high-performing data science team
To Apply for this Job Click Here
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We’ve been collaborating with Harnham to recruit some key positions for our company, and they have been incredible partners. They team has been great and efficient. They understood our needs perfectly and provided us very talented candidates. We'll keep collaborating with them in the future. Thank you for your excellent job!
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I’ve 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.
