DATA
SCIENCE
JOBS &
CAREERS

Browse the latest Data Science Jobs and Data Scientist Jobs with Harnham, the global leader in finding Data and AI talent for their next data job.

DATA
SCIENCE
JOBS &
CAREERS

Browse the latest Data Science Jobs and Data Scientist Jobs with Harnham, the global leader in finding Data and Analytics talent for their next data job.

OVERVIEW

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

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?

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.

Harnham-IData-&-Technology
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

Leicester

£60000 - £75000

+ Data Science & AI

Permanent
Leicester, Leicestershire

To Apply for this Job Click Here

Lead Data Scientist – Leicester x2 days a week

We are working with a leading ecommerce company who are looking to add a Lead Data Scientist to their team. This role will involve the line management of 2 junior data scientists and will be interacting with stakeholders often.

The role will sit within a Marketing Science department and you will work on customer and marketing data including customer churn, segmentation, campaign analysis and marketing effectiveness across ads.

Required:

  • Strong leadership and communication skills
  • Ability to work in a fast paced environment
  • Strong Python & SQL skills
  • 4+ years in a Data Science position

To Apply for this Job Click Here

Product Data Analyst

City of London

£70000 - £85000

+ Data Science & AI

Permanent
City of London, London

To Apply for this Job Click Here

Lead Product Analyst – Leicester or London

We are working with a global membership-based company that partner with 1000s of brands to offer discount to eligible workers.

They are seeking a Lead Product Analyst to use insights to drive narratives of user behaviour and highlight key metrics to guide recommendations within the business.

Responsibilities:

  • Develop self-service dashboards and data tools to enable rapid insights into product features
  • Collaborate with stakeholders to establish metrics to ensure data reliability
  • Translate business problems into analytical tasks
  • Present findings back to key stakeholders, ensuring a consistent story is told throughout the data

Required:

  • 5+ years experience in a Product focused analyst role
  • SQL, dbt, Python or R experience
  • Lightdash, Looker or Tableau experience

To Apply for this Job Click Here

Lead Optimisation Data Scientist

London

£600 - £900

+ Data Science & AI

Contract
London

To Apply for this Job Click Here

Lead Optimisation Data Scientist
London, Hybrid
£600 – £900 per day

This is an exciting opportunity to take on high‑impact optimisation challenges within a large and complex operational environment. You will be joining a central Data and AI team that is solving real operational problems at scale, with your work directly influencing critical decision making and efficiency across the organisation.

The Company
They are an international organisation with extensive operational and logistics networks across multiple business units. Their central AI and Data Science function is expanding to deliver practical optimisation solutions that improve performance and reduce disruptions. The team partners closely with operational stakeholders to turn business challenges into deliverable optimisation models. Contractors play a key role in driving technical delivery and shaping solution design.

The Role and Deliverables
* Take end‑to‑end ownership of optimisation problem statements from discovery through to delivery.
* Build production‑ready optimisation or simulation models using Python.
* Translate operational challenges into well‑structured optimisation approaches.
* Develop solutions across areas such as logistics planning, resource allocation and supply chain optimisation.
* Work closely with business and operational teams to gather requirements and validate outputs.
* Provide clear technical recommendations to stakeholders on optimisation opportunities.

Your Skills and Experience
* Strong experience building optimisation or simulation solutions in production environments.
* Background in operations research or mathematical optimisation.
* Experience working on logistics, supply chain or wider operational optimisation problems.
* Ability to translate real‑world business issues into optimisation models.
* Strong Python skills for modelling and optimisation.
* Comfortable working collaboratively with operational stakeholders.

How to Apply
If this freelance opportunity sounds like the right fit, apply today to discuss the project in more detail.

To Apply for this Job Click Here

Optimisation Data Scientist

London

£600 - £900

+ Data Science & AI

Contract
London

To Apply for this Job Click Here

Senior Optimisation Data Scientist
London, Hybrid
Inside IR35
This is a contract opportunity to deliver high impact optimisation solutions within a major operational environment. You will work on complex, real world logistical and resource planning challenges where your models will be used directly in live decision making.
The Company
They are a large international organisation with extensive operational networks across multiple business units. Their central AI and Data Science function is growing and plays a key role in solving high value optimisation problems. The team partners closely with operational stakeholders to develop practical solutions that improve efficiency and reduce disruption across the organisation.
The Role and Deliverables
* Build production ready optimisation or simulation models in Python.
* Take ownership of operational optimisation problems from framing through to delivery.
* Translate stakeholder requirements into structured optimisation approaches.
* Develop solutions focused on logistics planning, supply chain optimisation and resource allocation.
* Collaborate closely with operational teams to refine constraints and validate outputs.
* Provide clear technical recommendations to support decision making.
Your Skills and Experience
* Strong experience delivering optimisation or simulation solutions in production environments.
* Solid background in operations research or mathematical optimisation.
* Experience working on logistics, supply chain or resource allocation problems.
* Ability to convert business problems into practical optimisation models.
* Advanced Python modelling skills.
* Confident engaging with operational stakeholders.
How to Apply
If this contract sounds like a strong fit, submit your details to discuss the project further.

To Apply for this Job Click Here

Senior Optimisation Data Scientist Contract

London

£600 - £900

+ Data Science & AI

Contract
London

To Apply for this Job Click Here

Senior Optimisation Data Scientist Contract | £600-£900/day | Hybrid London

We are working with a major international transport and operations organisation building out a central AI and Data Science capability focused on solving complex operational optimisation problems across multiple business units.

This is a hands-on contract role focused on delivering real optimisation solutions that directly impact large-scale operations. The work centres around logistics, resource allocation and supply chain optimisation problems where the goal is to improve operational efficiency and reduce disruption across a distributed operational network.

Typical problem areas include optimisation of resource allocation, logistics planning and operational decision-making. One example use case involves optimising the allocation of critical components across a large operational fleet to minimise downtime and maximise utilisation. Similar optimisation challenges exist across supply chain planning, operational efficiency and network optimisation.

The team operates centrally but works closely with operational stakeholders across the organisation. Contractors will typically take ownership of optimisation problems end-to-end, from understanding the business problem through to designing and delivering production-ready optimisation models.

This role requires someone who has built optimisation or simulation solutions in real production environments. They are not looking for purely analytical data scientists or academic optimisation specialists. The successful candidate will be able to translate real-world operational problems into practical optimisation approaches and deliver working solutions.

The role requires a consultative mindset and strong stakeholder engagement. You will be expected to work closely with business teams, identify optimisation opportunities and make clear technical recommendations.

Key requirements:

* Proven experience building optimisation or simulation solutions in production
* Strong operations research or mathematical optimisation background
* Experience working on logistics or supply chain optimisation problems
* Experience translating business problems into optimisation models
* Strong Python-based modelling experience
* Ability to work closely with operational stakeholders

Typical backgrounds include airlines, logistics platforms, retail supply chain, transport networks or other large operational environments.

Contract details:

* £600-£900 per day
* Initial contract to end of year with likely extension
* Hybrid working – 3 days onsite in London
* Occasional travel within Europe may be required

To apply, please email

To Apply for this Job Click Here

Senior Data Scientist

London

£60000 - £70000

+ Data Science & AI

Permanent
London

To Apply for this Job Click Here

Senior Data Scientist

London, hybrid 1 to 3 days per week.
Competitive salary between £60,000 and £70,000 plus bonus and benefits.

This is a rare opportunity to build a data science capability from the ground up within a well-funded, high-impact organisation. You will join at a pivotal moment as they expand their AI, automation, and analytics function, taking full ownership of predictive modelling projects that directly influence commercial decisions and operational efficiency.

The Company

They are a specialist organisation operating at the intersection of healthcare, supply chain, and strategic procurement. Their work ensures reliable access to essential products for millions of end users, using advanced analytics and supplier intelligence to secure cost-efficient, high-quality supply. With strong investment behind technology and AI, they are now evolving towards a more sophisticated, data-driven operating model.

The Role

  • Lead the development of predictive ML models to optimise pricing, bidding strategies, and market behaviour.
  • Build data-driven workflows that improve operational processes and automate manual tasks.
  • Contribute to early-stage AI initiatives, including conversational interfaces and intelligent assistants.
  • Shape project plans, define requirements, and communicate insights to senior stakeholders.
  • Deliver end-to-end modelling, from scoping and feature design to deployment and iteration.
  • Act as the most senior data science practitioner, setting foundations for how the function will scale.

Your Skills and Experience

  • Strong commercial experience in machine learning, predictive modelling, and delivering production-ready solutions.
  • Proficiency in Python and experience working with cloud environments, ideally Azure.
  • Ability to work autonomously, make pragmatic technical decisions, and drive business outcomes.
  • Comfortable collaborating with stakeholders across commercial, operations, and technology.
  • Broad skill set across supervised learning, workflow automation, and hands-on engineering.
  • STEM academic background with strong analytical foundations.

What They Offer

  • Competitive salary bonus and full benefits.
  • Hybrid working with a minimum of one office day per week.
  • The chance to build a new data science capability in a growing team.
  • High visibility with opportunities to shape strategy, tooling, and delivery standards.
  • Future headcount growth, including adjacent roles such as ML Ops.

How to Apply

If this opportunity sounds like the right next step, please apply with your CV or email me at for more information.

To Apply for this Job Click Here

Senior Data Scientist

London

£70000 - £80000

+ Data Science & AI

Permanent
London

To Apply for this Job Click Here

Senior Data Scientist

London, hybrid 1 to 3 days per week.
Competitive salary between £70,000 and £80,000 plus bonus and benefits.

This is an exciting opportunity to build a data science capability from the ground up within a well-funded, high-impact organisation. You will join at a time where they expand their AI, automation, and analytics function, taking full ownership of predictive modelling projects that directly influence commercial decisions and operational efficiency.

The Company

They are a specialist organisation operating at the intersection of healthcare, supply chain, and strategic procurement. Their work ensures reliable access to essential products for millions of end users, using advanced analytics and supplier intelligence to secure cost-efficient, high-quality supply. With strong investment behind technology and AI, they are now evolving towards a more sophisticated, data-driven operating model.

The Role

  • Lead the development of predictive ML models to optimise pricing, bidding strategies, and market behaviour.
  • Build data-driven workflows that improve operational processes and automate manual tasks.
  • Contribute to early-stage AI initiatives, including conversational interfaces and intelligent assistants.
  • Shape project plans, define requirements, and communicate insights to senior stakeholders.
  • Deliver end-to-end modelling, from scoping and feature design to deployment and iteration.
  • Act as the most senior data science practitioner, setting foundations for how the function will scale.

Your Skills and Experience

  • Strong commercial experience in machine learning, predictive modelling, and delivering production-ready solutions.
  • Proficiency in Python and experience working with cloud environments, ideally Azure.
  • Ability to work autonomously, make pragmatic technical decisions, and drive business outcomes.
  • Comfortable collaborating with stakeholders across commercial, operations, and technology.
  • Broad skill set across supervised learning, workflow automation, and hands-on engineering.
  • STEM academic background with strong analytical foundations.

What They Offer

  • Competitive salary plus bonus and full benefits.
  • Hybrid working with a minimum of one office day per week.
  • The chance to build a new data science capability in a growing team.
  • High visibility with opportunities to shape strategy, tooling, and delivery standards.
  • Future headcount growth, including adjacent roles such as ML Ops.

How to Apply

If this opportunity sounds like the right next step, please apply with your CV or email me at for more information.

To Apply for this Job Click Here

Director of Decision Science

London

£120000 - £135000

+ Data Science & AI

Permanent
London

To Apply for this Job Click Here

Director of Decision Science

West London. £120000 to £135000 plus up to 50 percent bonus and share options. Hybrid with three days per week in the office.

You will play a central role in shaping the modelling strategy for a fast‑growing embedded finance provider. This is a chance to take full ownership of the underwriting and acquisition modelling roadmap, lead two technical teams, and influence how advanced models power customer growth across multiple international markets.

The Company

They are a data driven embedded finance organisation using partner‑supplied data and advanced modelling to deliver personalised financial products to small and medium sized businesses. Operating across the UK, Europe, and North America, they continue to scale rapidly and are investing heavily in decision science. Their environment offers the autonomy to set standards while working with high quality data and impactful lending products.

The Role

* Lead the end‑to‑end development, validation, and monitoring of underwriting and acquisition models across multiple regions.
* Set modelling standards and define what good looks like for build quality, documentation, and governance.
* Guide the long term roadmap for how models support customer acquisition, pricing, and portfolio performance.
* Oversee the integration of MLOps and model deployment into the decision science function.
* Partner with product, engineering, and commercial teams to translate model outputs into real business decisions.
* Manage model development and acquisition analytics teams, ensuring technical excellence and clear development pathways.

Your Skills and Experience

* Strong hands on experience building predictive models in Python using approaches such as gradient boosting.
* Experience working with consumer or commercial risk modelling, decision science, or similar data heavy environments.
* Ability to take a commercially minded approach to acquisition, pricing, and performance.
* Confident managing full model lifecycles including design, testing, deployment, and monitoring.
* Effective leadership and stakeholder skills within technical and non technical environments.
* MLOps or R experience is beneficial but not essential.

What They Offer

* £120000 to £135000 base salary.
* Bonus up to 50 percent, typically 30 to 40 percent.
* Share options.
* Hybrid working with three days per week in the office.
* Clear progression opportunities within a scaling, international business.

How to Apply
To be considered for this Director of Decision Science role, please apply with your CV.

To Apply for this Job Click Here

Data Scientist

Brighton

£55000 - £60000

+ Data Science & AI

Permanent
South East England

To Apply for this Job Click Here

Data Scientist – AI
Brighton (1 day per week)
£50,000 to £65,000 plus benefits

This is an opportunity for you to join a business that is building real, production‑ready generative AI products already being used by customers. You will work end to end across modelling, experimentation and deployment, shaping a platform that is scaling and evolving rapidly.

The Company

They are a growing, product‑led technology organisation developing advanced generative AI solutions used in commercial environments. Their platform has been live for several months and is gaining momentum, supported by strong investment and a collaborative, cross‑functional team. You will join a group that values experimentation, engineering rigour and continuous improvement.

The Role

* Develop, train and deploy NLP, LLM and deep learning models.
* Write production‑grade Python code and deliver end‑to‑end machine learning features.
* Work with PyTorch, cloud environments and containerised microservices.
* Build and optimise NLP components including embeddings and intent or entity recognition.
* Apply techniques such as RAG, agentic workflows and model orchestration.
* Collaborate across engineering, data and product teams to deliver reliable AI features.
* Present your work clearly and contribute to knowledge sharing across the team.

Your Skills and Experience

* Strong commercial experience in Python and production engineering.
* Hands‑on experience with LLMs, NLP or conversational AI.
* Practical exposure to deploying machine learning models into production.
* Familiarity with deep learning frameworks, cloud tooling, Docker or ECR.
* Understanding of microservices and modern ML workflows.
* Experience with reinforcement learning, RAG or agentic methods is beneficial.
* Confident communication skills and the ability to collaborate in a cross‑functional environment.
* A STEM background is preferred.

What They Offer

* Salary between £50,000 and £65,000 plus a comprehensive benefits package.
* Flexible working with one day each week onsite.
* Ownership across modelling, experimentation and deployment.
* Opportunities to grow your technical scope in a scaling, product‑focused AI environment.

How to Apply

If you are interested in this opportunity, please apply with your CV.

To Apply for this Job Click Here

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