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.
WHAT SETS
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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!
Director of Data Science
Atlanta
$250000 - $350000
+ Data Science & AI
PermanentAtlanta, Georgia
To Apply for this Job Click Here
Director of Data Science
Location: Atlanta, GA (Onsite)
Salary: $250-350k depending on experience
We’re partnering with a leading private equity-backed consumer platform to hire a Director of Data Science to lead and scale an enterprise-level data science function.
This role sits at the intersection of investment strategy, portfolio performance, and advanced analytics, with direct influence on how data science, machine learning, and Generative AI are used to drive value across a large multi-brand ecosystem.
The Role
You’ll own the vision, execution, and growth of the Data Science function, leading a high-performing team and partnering closely with senior leaders across strategy, engineering, product, and investment teams.
The work spans commercial due diligence, forecasting, pricing, experimentation, marketing analytics, and GenAI tooling, with a strong emphasis on building scalable, production-grade solutions that drive measurable business impact.
This is a player-coach role – hands-on where needed, strategic where it counts.
What You’ll Be Doing
- Lead and grow the Data Science team, setting technical standards and best practices
- Define the long-term roadmap, tooling, and architecture for applied data science
- Partner with investment and portfolio teams on predictive modeling and value creation
- Drive the adoption and impact of Generative AI and agentic workflows
- Own the full model lifecycle, from problem framing through production deployment
- Translate complex analytics into clear, executive-level insights
What We’re Looking For
- 10+ years of applied data science / ML experience
- Strong Python and SQL skills, with proven production deployment experience
- Experience leading and scaling technical teams
- Deep expertise in forecasting, experimentation, pricing, and causal analysis
- Strong business judgment and executive communication skills
Nice to have: consumer / retail / QSR exposure, multi-brand environments, PE or consulting background, advanced degree, and a strong point of view on how GenAI tools are reshaping data science workflows.
To Apply for this Job Click Here
Data Science Manager
Canada
$170000 - $220000
+ Data Science & AI
PermanentCanada
To Apply for this Job Click Here
Data Science Manager
Location: Canada | EST Hours Required
Salary: $175-220k base + bonus
We’re partnering with a high-growth product company to hire a Data Science Manager to both ship production ML systems and build a high-performing team.
This is a true player-coach role: you’ll stay hands-on with modeling and system design while setting technical direction, hiring, and mentoring data scientists. The expectation is clear: deliver models that move retention, conversion, and revenue.
You’ll join a small, autonomous data science team with impact across Product, R&D, Finance, and GTM. The team builds customer-facing data products such as recommendation systems, churn models, and experimentation frameworks that influence how millions of users discover value.
It’s startup-level ownership with the scale and data of a large, active user base.
What You’ll Do
- Design and ship recommendation engines, churn models, and experimentation infrastructure, staying hands-on in code as the team scales
- Define success metrics, monitor production models, and iterate until business results improve
- Hire, coach, and develop data scientists; set a high bar for ownership, craft, and impact
- Partner closely with Product, R&D, Finance, and GTM to identify high-leverage problems and deliver adopted solutions
- Make pragmatic decisions around tooling, architecture, and methodology, balancing speed with long-term maintainability
What We’re Looking For
- 6+ years building and deploying consumer-facing ML systems in production
- 2+ years leading or managing data scientists or ML engineers
- Experience building teams, not just operating as an IC
- Strong Python skills
- Experience with Databricks or similar ML platforms
- Comfort across the full ML lifecycle: experimentation, feature engineering, training, deployment, monitoring
- Proven ability to translate ambiguous business problems into measurable ML outcomes
- Strong bias toward shipping, iteration, and impact
- Sound judgment on when to ship an MVP vs. invest in robustness
- Actively uses AI tools to accelerate development and expects the same from their team
Nice to Have
- Experience with experimentation platforms or causal inference
- Background in subscription or SaaS businesses
- Familiarity with TypeScript or production engineering practices
To Apply for this Job Click Here
Lead Data Scientist
Leicester
£60000 - £75000
+ Data Science & AI
PermanentLeicester, 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
PermanentCity 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
ContractLondon
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
ContractLondon
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
ContractLondon
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
PermanentLondon
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
PermanentLondon
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
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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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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.
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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 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.
