FIND YOUR NEXT DATA SCIENCE JOB
We help the best talent in the Data Science market find rewarding careers.
Harnham is the best company for data science jobs because we are a global leader in data science recruitment.
Our extensive network of data science employers, and clients, ensuring you find the perfect match for your skills.
We offer a range of data science jobs from entry-level to director-level and have an experienced team of recruiters who will help match you with the right employer.
Also, we provide excellent resources and advice for data science job seekers, helping you prepare for interviews, negotiate salaries, and more.
HOW WE
DO IT
We pride ourselves on keeping our pulse on trends across the Data Science industry.
Our dedicated Data Science consultants have immersed themselves fully in the market and are able to provide industry-leading advice. Whether you’re looking for your next Data Science Job, or to find a Data Scientist for your team, Harnham has a wealth of knowledge and will help you make the process as efficient as possible.
We pride ourselves on keeping our pulse on trends in the industry and offer educational programmes to help keep our candidate’s skills sharp.
WHAT SETS
US APART?
We place considerable emphasis on getting to know you, your motivations and your skills.
We do this to ensure we only introduce you to companies that suit you. By taking the time to listen to and explore our clients’ briefs, we soon know whether candidates fit their culture or not.
As a genuine specialist in Data Science recruitment, we have developed long-standing partnerships within the marketplace. These relationships allow us to provide our candidates with access to the best opportunities in the sector.
If you are looking for that next Data Science job and career step, let us help you find it.
As working from home becomes ever more common, you can now search Remote Data Science Jobs.
JOBS
LATEST DATA
SCIENCE JOBS
Harnham are a specialist Data Science recruitment business, specializing in finding you your next data science job!
Lead Data Scientist
Amsterdam
€10000 - €95000
+ Data Science & AI
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
Lead Data Scientist
Amsterdam, Netherlands | €95,000 – €100,000 per annum (including holiday allowance)
This is a rare opportunity for a Lead Data Scientist to join a business that has already invested heavily in its data foundations and is now focused on unlocking commercial value through advanced analytics and machine learning. Reporting directly to the CTO, you will have the autonomy to shape strategy, influence decision-making, and build a high-performing data function from the ground up.
The Company
They are a well-established digital consumer business with a strong market presence and a growing customer base across Europe. Over the past few years, they have invested significantly in modernising their data platform, governance, and delivery processes, creating a strong foundation for future growth.
With a modern cloud-based data ecosystem already in place, their focus is now on leveraging data science and machine learning to improve customer experiences, optimise commercial performance, and support smarter business decisions.
The Role
As Lead Data Scientist, you will combine technical leadership with hands-on delivery in a role that offers significant ownership and visibility across the business.
Key responsibilities include:
- Defining and executing the data science roadmap, aligning initiatives with business goals and measurable outcomes
- Identifying opportunities to apply machine learning and advanced analytics to commercial challenges
- Taking ownership of the organisation’s modern cloud data platform and ensuring it remains scalable and reliable
- Designing, developing, and deploying machine learning solutions into production
- Delivering data science use cases such as recommendation systems, personalisation, optimisation, and ranking models
- Working closely with senior stakeholders, including the CTO, to prioritise initiatives and translate business requirements into technical solutions
- Driving projects from concept through to implementation and measurable business impact
- Building and developing a data team, including mentoring existing talent and leading future hiring efforts
- Establishing best practices across data science, machine learning, and platform development
Your Skills & Experience
You will bring a blend of technical expertise, commercial awareness, and leadership capability.
Essential experience:
- Strong commercial experience in Data Science and Machine Learning
- Hands-on experience developing machine learning models using Python
- Experience working with dbt and Apache Airflow
- Knowledge of modern cloud-based data platforms and data architecture principles
- Experience operationalising machine learning solutions in production environments
- Strong understanding of data pipelines, production data layers, and scalable analytics infrastructure
- Experience delivering end-to-end projects from problem definition through to implementation
- Strong stakeholder management and communication skills
- A pragmatic, hands-on approach with the ability to balance strategy and execution
- Experience mentoring, leading, or developing data professionals
Desirable experience:
- Google Cloud Platform (GCP) and BigQuery
- AWS or Azure
- A/B testing and experimentation frameworks
- Recommendation engines, search optimisation, ranking, or personalisation solutions
- Consumer-facing digital, e-commerce, marketplace, or travel businesses
- Experience scaling data platforms and data teams
- Dutch language skills
What They Offer
- Salary of €95,000 – €100,000 per annum, including holiday allowance
- Direct reporting line to the CTO with genuine influence over data strategy
- Opportunity to shape and lead the next phase of the organisation’s data journey
- Ownership of a modern technology stack including GCP, BigQuery, dbt, Airflow, and Python
- The chance to build and grow your own team
- A balanced role combining strategic leadership with hands-on technical work
- Strong career progression opportunities as the data function continues to expand
- The opportunity to deliver tangible business impact through data science and machine learning
How to Apply
- If you’re a Lead Data Scientist or an experienced Data Scientist looking to step into a broader leadership role, apply today to find out more about this opportunity in Amsterdam.
To Apply for this Job Click Here
Head of Data Science
London
£120000 - £140000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
HEAD OF DATA SCIENCE
London (Hybrid) | £120,000 – £140,000 + Equity
This is an opportunity to lead the data science strategy for a rapidly growing fintech business where AI, machine learning, and data-driven decision making sit at the heart of the organisation. You’ll play a key role in shaping risk and affordability modelling capabilities while building solutions that directly influence business performance and customer outcomes.
The Company
They are a high-growth financial services organisation using technology and data to transform customer experiences within consumer lending. With strong backing and ambitious growth plans, they are investing heavily in AI, analytics, and automation to drive smarter decision making across the business. This is a business where innovation is encouraged and technical leaders can have a significant impact.
The Role
- Define and lead the data science strategy across risk, affordability, and decisioning.
- Develop and deploy machine learning models that support lending decisions.
- Drive the adoption of AI and advanced analytics solutions across the organisation.
- Partner closely with Product, Engineering, Credit Risk, and Operations teams.
- Own model deployment, monitoring, governance, and performance evaluation.
- Present insights and recommendations to senior stakeholders and leadership teams.
Your Skills & Experience
- Strong commercial experience in credit risk modelling within consumer lending or financial services.
- Hands-on expertise in Python, SQL, machine learning, and predictive modelling.
- Experience deploying models into production environments and monitoring performance.
- Knowledge of AI, LLMs, or agent-based technologies in real-world applications.
- Strong stakeholder management and communication skills.
- Ability to balance technical excellence with commercial objectives.
What They Offer
- Salary of £120,000 – £140,000 depending on experience.
- Equity participation.
- Private healthcare and enhanced pension contribution.
- Generous holiday allowance.
- Clear scope for leadership, ownership, and career progression.
How to Apply
If you’re interested in leading a high-impact data science function within a fast-growing fintech environment, apply today to find out more.
To Apply for this Job Click Here
Senior Data Scientist – Supply Chain Optimization (Contract)
London
£500 - £600
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Rate: £500-600/day Outside IR35
Duration: Initial 6-Month Contract (Extension Likely)
Location: London (Hybrid)
Office Attendance: 2 days per week in the London office.
The Opportunity
We’re supporting a major UK retailer on a large-scale supply chain optimisation programme and are looking for a Senior Data Scientist with a strong background in Operational Research and optimisation.
This is not a Generative AI, NLP, or customer analytics role. Instead, you’ll be working on highly complex optimisation challenges that drive real-world operational decisions across a large supply chain network.
The programme has been running for several years and is viewed as a long-term strategic initiative, with further investment already secured.
The Role
You’ll be responsible for designing, developing and enhancing optimisation models that support large-scale supply chain decision-making.
Key Responsibilities
- Architecting and designing optimisation models for complex logistics and supply chain challenges
- Improving and scaling existing optimisation solutions
- Working closely with stakeholders to translate business problems into mathematical models
- Delivering solutions capable of handling billions of potential decision combinations
- Supporting the ongoing development of a critical optimisation platform used across the organisation
Required Experience
We’re particularly interested in candidates who can demonstrate:
- Strong experience in optimisation, Operational Research, or mathematical modelling
- Experience solving real-world supply chain, logistics, inventory, transportation, or network optimisation problems
- Hands-on experience with optimisation platforms such as AIMMS, AMPL, Gurobi, CPLEX, FICO Xpress, or similar
- Strong Python skills
- Experience working with large-scale optimisation problems where solution quality and performance are critical
- A strong academic background in Mathematics, Operational Research, Statistics, Engineering, Computer Science, or a related discipline
Ideal Background
Suitable candidates may come from:
- Retail
- Logistics
- Transportation
- Manufacturing
- Supply Chain Technology
- Warehousing & Distribution
- Airline Operations
- E-commerce Fulfilment
A PhD is not essential, but candidates will typically possess strong mathematical and analytical depth. Those with PhD research linked to real-world optimisation problems are highly encouraged to apply.
What They’re Looking For
Beyond technical expertise, the team values individuals who are:
- Naturally curious
- Proactive problem solvers
- Comfortable challenging assumptions
- Strong communicators who ask the right questions
- Passionate about solving complex operational problems
Interview Process
- 1-2 stage interview process
- Quick turnaround on feedback
- Immediate requirement
To Apply for this Job Click Here
Contract Machine Learning Engineer – Outside IR35
London
£500 - £600
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Rate: £600 per day (Outside IR35)
Contract Length: 3 Months
Location: Hybrid / Remote
An opportunity for an experienced Machine Learning Engineer to join a growing data team delivering innovative ML solutions. You’ll work closely with stakeholders to develop, deploy, and optimise machine learning models that drive business outcomes.
Key Responsibilities
- Design, build, and deploy machine learning models.
- Develop scalable data and feature engineering pipelines.
- Optimise model performance and production readiness.
- Work with large datasets to solve complex business challenges.
- Collaborate with Data Scientists, Engineers, and Product teams.
- Support model testing, validation, and deployment.
Key Skills
- Strong Python and SQL skills.
- Experience building and deploying ML models in production.
- Hands-on knowledge of machine learning frameworks (Scikit-learn, TensorFlow, PyTorch).
- Data engineering and pipeline development experience.
- Cloud experience (AWS, Azure, or GCP).
- Strong understanding of software engineering best practices.
- Experience working in agile environments.
Contract: 3 Months | £600/day Outside IR35
To Apply for this Job Click Here
Senior Data Scientist
London
£60000 - £90000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Data Scientist
London 3 days a week
Join a fast-growing fintech that is investing heavily in its data science and risk capabilities. This role offers the opportunity to build impactful machine learning models from the ground up while working on business-critical challenges in lending and forecasting.
The Company
A profitable global fintech with strong growth, recent investment, and expanding international operations. They are continuing to scale their data and analytics function while modernising their technology and modelling infrastructure.
The Role
- Build and deploy machine learning models across the full lifecycle
- Develop and enhance Probability of Default (PD) models and scorecards
- Create revenue forecasting models using techniques such as XGBoost and CatBoost
- Partner with business stakeholders to solve complex commercial problems
- Support the evolution of data science infrastructure and best practices
Your Skills & Experience
- Strong commercial data science experience within fintech, lending, or financial services
- Experience with credit risk modelling and/or revenue forecasting
- Strong Python and SQL skills
- Experience with machine learning techniques, including boosting methods
- Ability to translate business problems into scalable data solutions
To Apply for this Job Click Here
Data Scientist – Customer Analytics
London
£65000 - £65000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
DATA SCIENTIST – CUSTOMER ANALYTICS
London (Hybrid, 2 days per week) | Up to £65,000
Looking to broaden your data science experience across multiple industries? This is an opportunity to join a specialist analytics consultancy delivering end-to-end modelling projects for well-known organisations across sectors. You’ll combine hands-on data science with stakeholder engagement, working on projects that have real commercial impact.
The Company
They are a growing data and analytics consultancy with a strong focus on predictive modelling and customer analytics. With a collaborative team of experienced data professionals, they deliver advanced solutions using modern cloud and data platforms. Their project-based environment offers excellent exposure to a wide range of business challenges and industries.
The Role
- Develop predictive models to solve customer and commercial challenges
- Deliver projects across forecasting, customer segmentation, propensity modelling, and pricing analytics
- Build solutions using Python, SQL, Azure, and Databricks
- Present model outputs and insights to technical and non-technical stakeholders
- Work closely with clients and internal teams throughout the project lifecycle
Your Skills & Experience
- Strong commercial experience in data science and model development
- Advanced Python and SQL skills
- Experience building predictive, forecasting, segmentation, scorecard, or pricing models
- Experience working with stakeholders and communicating analytical findings
- Exposure to Azure and/or Databricks
- Consultancy experience is beneficial but not essential
- Strong academic background in a quantitative discipline
What They Offer
- Salary up to £65,000 depending on experience
- Hybrid working with 2 days per week in the London office
- Broad exposure to projects across multiple industries
- Strong technical environment focused on data science and modelling
- Clear opportunities for professional development and progression
How to Apply
Apply today to learn more about this Data Scientist opportunity.
To Apply for this Job Click Here
Data Scientist/Data Analyst
Windsor and Maidenhead
£55000 - £60000
+ Data Science & AI
PermanentWindsor and Maidenhead, Berkshire
To Apply for this Job Click Here
Data Scientist
Windsor (Hybrid, 3-4 days in office) | Up to £60,000
This is an exciting opportunity for a Data Scientist to join a growing organisation investing heavily in data, analytics, machine learning, and AI. You’ll work on projects that have tangible business impact, helping to build advanced analytical solutions, automate processes, and shape the organisation’s data science capability from an early stage.
The Company
They are a well-established organisation undergoing a significant data and digital transformation. With a strong focus on leveraging data to improve operational efficiency and support strategic decision-making, they are building modern analytics and AI capabilities across the business. The environment is collaborative, hands-on, and offers the opportunity to influence how data science is applied across multiple functions.
The Role
You will work closely with senior stakeholders to design and deliver machine learning, forecasting, and data science solutions that drive measurable business outcomes.
Key responsibilities include:
- Developing and deploying machine learning models for classification, forecasting, identity resolution, and business process automation.
- Designing and implementing scalable data models within a Snowflake data warehouse environment.
- Building analytical solutions and data products that support reporting, applications, and AI initiatives.
- Creating and maintaining Power BI data models, dashboards, and reporting solutions.
- Supporting the development of production-ready data science solutions through Azure DevOps CI/CD processes.
- Monitoring model performance, testing outputs, and ensuring high standards of data quality and governance.
- Collaborating with business stakeholders to understand requirements and translate them into technical solutions.
- Contributing to AI and automation initiatives, including the integration of large language models and AI-driven workflows.
- Supporting data governance, security, and compliance requirements across analytical projects.
Your Skills & Experience
- Strong commercial experience in data science, advanced analytics, or related disciplines.
- Experience developing machine learning models and deploying analytical solutions into production environments.
- Strong knowledge of Python and statistical modelling techniques.
- Experience working with Snowflake or similar cloud-based data warehouse technologies.
- Understanding of data modelling principles, including dimensional and star schema modelling.
- Experience with Power BI and data visualisation best practices.
- Familiarity with CI/CD processes, version control, testing, and software development lifecycle practices.
- Strong SQL and data manipulation skills.
- Knowledge of forecasting techniques and predictive analytics.
- Excellent communication skills with the ability to engage with technical and non-technical stakeholders.
- A proactive approach to problem-solving and delivering business value through data.
What They Offer
- Competitive salary and benefits package.
- Hybrid working model with a mix of office and remote working.
- Exposure to cutting-edge AI, machine learning, and analytics projects.
- The opportunity to work closely with senior leadership and influence data strategy.
- Clear opportunities for professional development and career progression.
- A collaborative environment where innovation and continuous improvement are encouraged.
How to Apply
If you’re a Data Scientist looking to work on impactful machine learning, AI, and analytics projects in a modern data environment, apply today through Harnham to find out more.
To Apply for this Job Click Here
Director of Analytics & AI
$175000 - $200000
+ Data Science & AI
PermanentNew Jersey
To Apply for this Job Click Here
Director of Analytics & AI
New Jersey / Hybrid | Up to $200k + Bonus
A global specialty insurer is looking for a hands-on leader to sit at the heart of its North America underwriting business and help drive its AI and analytics strategy.
This is a business-facing role, focused on improving underwriting performance, portfolio management and decision-making through data, analytics and AI.
What you’ll be doing:
- Partnering directly with underwriting leaders across North America
- Turning business challenges into analytics and AI solutions
- Leading AI-enabled underwriting transformation initiatives
- Working closely with Data Science, Engineering and Product teams
- Driving adoption of data-led decision making across the business
- Leading and developing a small, high-performing analytics team
What we’re looking for:
- Strong commercial or specialty insurance experience
- Deep understanding of underwriting processes and decision-making
- Experience delivering value through analytics, data science or AI
- Ability to influence senior stakeholders and operate at executive level
- Experience leading teams and driving change across complex organisations
Why consider it?
- Newly created role with significant visibility
- Data & AI are a board-level priority
- Opportunity to shape the future of AI in underwriting
- Blend of strategy, delivery and stakeholder leadership
- Direct impact on underwriting outcomes and business performance
This is an excellent opportunity for someone who understands insurance first and technology second, and wants to play a key role in modernising how underwriting decisions are made.
To Apply for this Job Click Here
Senior Data Scientist, MMM
Sheffield
£70000 - £90000
+ Data Science & AI
PermanentSheffield, South Yorkshire
To Apply for this Job Click Here
Senior Data Scientist, MMM
£70,000 – £90,000
Fully Remote
This is an opportunity to take ownership of marketing measurement within a growing, data-driven consumer marketplace. With significant investment planned across acquisition channels, you’ll play a pivotal role in understanding what genuinely drives growth and where marketing spend can deliver the greatest commercial impact.
THE COMPANY
They are a fast-growing online marketplace operating within the travel and experiences sector, connecting customers with unique experiences through a network of independent partners. The business has built a strong brand, operates with a purpose-led mindset, and combines commercial growth with a commitment to supporting local communities and sustainable business practices. Their data team is lean, highly collaborative, and empowers individuals to own meaningful work. You will have direct exposure to senior stakeholders and the opportunity to influence business decisions through data science, experimentation, and modelling.
THE ROLE
As a Senior Data Scientist, you will own the organisation’s marketing measurement capability and help shape how acquisition budgets are allocated.
Specifically, you can expect to be involved in the following:
- Owning and developing the Marketing Mix Modelling (MMM) framework to evaluate channel performance, saturation points, and marginal acquisition costs
- Designing and measuring incrementality experiments including conversion lift studies, holdout testing, and geo-based experiments
- Improving marketing attribution and conversion signal quality in an evolving privacy landscape
- Building and owning Customer Lifetime Value (LTV) models to support bidding strategies, forecasting, and long-term growth decisions
- Translating complex statistical outputs into commercially actionable recommendations for marketing stakeholders
- Working closely with performance marketing teams to optimise budget allocation and acquisition efficiency
- Using AI-powered tools and workflows to accelerate analysis, experimentation, and insight generation
- Contributing to experimentation standards and best practices across the wider data function
SKILLS AND EXPERIENCE
The successful Senior Data Scientist will have the following skills and experience:
- Strong commercial experience in Marketing Mix Modelling, incrementality testing, geo experiments, or marketing measurement
- Excellent statistical knowledge including causal inference, hypothesis testing, regression analysis, power calculations, and experimental design
- Advanced SQL and Python skills for analysis and modelling
- Experience working with modern data platforms such as Snowflake, dbt, and cloud-based analytics environments
- Understanding of digital marketing, attribution methodologies, paid media platforms, and privacy-related measurement challenges
- Ability to communicate complex findings clearly to both technical and non-technical audiences
- Experience building or supporting Customer Lifetime Value modelling is highly desirable
- Confidence leveraging AI tools as part of a modern analytics workflow
BENEFITS
The successful Senior Data Scientist will receive the following benefits:
- Salary between £70,000 – £90,000 – depending on experience
- Fully remote working within the UK
- 38 days annual leave including public holidays
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Senior Data Scientist, MMM
Manchester
£70000 - £90000
+ Data Science & AI
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
Senior Data Scientist, MMM
£70,000 – £90,000
Fully Remote
This is an opportunity to take ownership of marketing measurement within a growing, data-driven consumer marketplace. With significant investment planned across acquisition channels, you’ll play a pivotal role in understanding what genuinely drives growth and where marketing spend can deliver the greatest commercial impact.
THE COMPANY
They are a fast-growing online marketplace operating within the travel and experiences sector, connecting customers with unique experiences through a network of independent partners. The business has built a strong brand, operates with a purpose-led mindset, and combines commercial growth with a commitment to supporting local communities and sustainable business practices. Their data team is lean, highly collaborative, and empowers individuals to own meaningful work. You will have direct exposure to senior stakeholders and the opportunity to influence business decisions through data science, experimentation, and modelling.
THE ROLE
As a Senior Data Scientist, you will own the organisation’s marketing measurement capability and help shape how acquisition budgets are allocated.
Specifically, you can expect to be involved in the following:
- Owning and developing the Marketing Mix Modelling (MMM) framework to evaluate channel performance, saturation points, and marginal acquisition costs
- Designing and measuring incrementality experiments including conversion lift studies, holdout testing, and geo-based experiments
- Improving marketing attribution and conversion signal quality in an evolving privacy landscape
- Building and owning Customer Lifetime Value (LTV) models to support bidding strategies, forecasting, and long-term growth decisions
- Translating complex statistical outputs into commercially actionable recommendations for marketing stakeholders
- Working closely with performance marketing teams to optimise budget allocation and acquisition efficiency
- Using AI-powered tools and workflows to accelerate analysis, experimentation, and insight generation
- Contributing to experimentation standards and best practices across the wider data function
SKILLS AND EXPERIENCE
The successful Senior Data Scientist will have the following skills and experience:
- Strong commercial experience in Marketing Mix Modelling, incrementality testing, geo experiments, or marketing measurement
- Excellent statistical knowledge including causal inference, hypothesis testing, regression analysis, power calculations, and experimental design
- Advanced SQL and Python skills for analysis and modelling
- Experience working with modern data platforms such as Snowflake, dbt, and cloud-based analytics environments
- Understanding of digital marketing, attribution methodologies, paid media platforms, and privacy-related measurement challenges
- Ability to communicate complex findings clearly to both technical and non-technical audiences
- Experience building or supporting Customer Lifetime Value modelling is highly desirable
- Confidence leveraging AI tools as part of a modern analytics workflow
BENEFITS
The successful Senior Data Scientist will receive the following benefits:
- Salary between £70,000 – £90,000 – depending on experience
- Fully remote working within the UK
- 38 days annual leave including public holidays
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Senior Data Scientist, MMM
Birmingham
£70000 - £90000
+ Data Science & AI
PermanentBirmingham, West Midlands
To Apply for this Job Click Here
Senior Data Scientist, MMM
£70,000 – £90,000
Fully Remote
This is an opportunity to take ownership of marketing measurement within a growing, data-driven consumer marketplace. With significant investment planned across acquisition channels, you’ll play a pivotal role in understanding what genuinely drives growth and where marketing spend can deliver the greatest commercial impact.
THE COMPANY
They are a fast-growing online marketplace operating within the travel and experiences sector, connecting customers with unique experiences through a network of independent partners. The business has built a strong brand, operates with a purpose-led mindset, and combines commercial growth with a commitment to supporting local communities and sustainable business practices. Their data team is lean, highly collaborative, and empowers individuals to own meaningful work. You will have direct exposure to senior stakeholders and the opportunity to influence business decisions through data science, experimentation, and modelling.
THE ROLE
As a Senior Data Scientist, you will own the organisation’s marketing measurement capability and help shape how acquisition budgets are allocated.
Specifically, you can expect to be involved in the following:
- Owning and developing the Marketing Mix Modelling (MMM) framework to evaluate channel performance, saturation points, and marginal acquisition costs
- Designing and measuring incrementality experiments including conversion lift studies, holdout testing, and geo-based experiments
- Improving marketing attribution and conversion signal quality in an evolving privacy landscape
- Building and owning Customer Lifetime Value (LTV) models to support bidding strategies, forecasting, and long-term growth decisions
- Translating complex statistical outputs into commercially actionable recommendations for marketing stakeholders
- Working closely with performance marketing teams to optimise budget allocation and acquisition efficiency
- Using AI-powered tools and workflows to accelerate analysis, experimentation, and insight generation
- Contributing to experimentation standards and best practices across the wider data function
SKILLS AND EXPERIENCE
The successful Senior Data Scientist will have the following skills and experience:
- Strong commercial experience in Marketing Mix Modelling, incrementality testing, geo experiments, or marketing measurement
- Excellent statistical knowledge including causal inference, hypothesis testing, regression analysis, power calculations, and experimental design
- Advanced SQL and Python skills for analysis and modelling
- Experience working with modern data platforms such as Snowflake, dbt, and cloud-based analytics environments
- Understanding of digital marketing, attribution methodologies, paid media platforms, and privacy-related measurement challenges
- Ability to communicate complex findings clearly to both technical and non-technical audiences
- Experience building or supporting Customer Lifetime Value modelling is highly desirable
- Confidence leveraging AI tools as part of a modern analytics workflow
BENEFITS
The successful Senior Data Scientist will receive the following benefits:
- Salary between £70,000 – £90,000 – depending on experience
- Fully remote working within the UK
- 38 days annual leave including public holidays
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Senior Data Scientist, MMM
London
£70000 - £90000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Data Scientist, MMM
£70,000 – £90,000
Fully Remote
This is an opportunity to take ownership of marketing measurement within a growing, data-driven consumer marketplace. With significant investment planned across acquisition channels, you’ll play a pivotal role in understanding what genuinely drives growth and where marketing spend can deliver the greatest commercial impact.
THE COMPANY
They are a fast-growing online marketplace operating within the travel and experiences sector, connecting customers with unique experiences through a network of independent partners. The business has built a strong brand, operates with a purpose-led mindset, and combines commercial growth with a commitment to supporting local communities and sustainable business practices. Their data team is lean, highly collaborative, and empowers individuals to own meaningful work. You will have direct exposure to senior stakeholders and the opportunity to influence business decisions through data science, experimentation, and modelling.
THE ROLE
As a Senior Data Scientist, you will own the organisation’s marketing measurement capability and help shape how acquisition budgets are allocated.
Specifically, you can expect to be involved in the following:
- Owning and developing the Marketing Mix Modelling (MMM) framework to evaluate channel performance, saturation points, and marginal acquisition costs
- Designing and measuring incrementality experiments including conversion lift studies, holdout testing, and geo-based experiments
- Improving marketing attribution and conversion signal quality in an evolving privacy landscape
- Building and owning Customer Lifetime Value (LTV) models to support bidding strategies, forecasting, and long-term growth decisions
- Translating complex statistical outputs into commercially actionable recommendations for marketing stakeholders
- Working closely with performance marketing teams to optimise budget allocation and acquisition efficiency
- Using AI-powered tools and workflows to accelerate analysis, experimentation, and insight generation
- Contributing to experimentation standards and best practices across the wider data function
SKILLS AND EXPERIENCE
The successful Senior Data Scientist will have the following skills and experience:
- Strong commercial experience in Marketing Mix Modelling, incrementality testing, geo experiments, or marketing measurement
- Excellent statistical knowledge including causal inference, hypothesis testing, regression analysis, power calculations, and experimental design
- Advanced SQL and Python skills for analysis and modelling
- Experience working with modern data platforms such as Snowflake, dbt, and cloud-based analytics environments
- Understanding of digital marketing, attribution methodologies, paid media platforms, and privacy-related measurement challenges
- Ability to communicate complex findings clearly to both technical and non-technical audiences
- Experience building or supporting Customer Lifetime Value modelling is highly desirable
- Confidence leveraging AI tools as part of a modern analytics workflow
BENEFITS
The successful Senior Data Scientist will receive the following benefits:
- Salary between £70,000 – £90,000 – depending on experience
- Fully remote working within the UK
- 38 days annual leave including public holidays
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
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Data Scientist salaries vary considerably by location, experience, sector and technical expertise. In the UK, salaries commonly…
Testimonials
Client and
candidate
testimonials
A trusted partner of professionals across the globe.
We understand the challenges our customers face and offer the
recruitment solutions needed to drive business success through Data & AI.
Client – Director of Customer Data Science – Apparel
The team at Harnham have been outstanding in helping our company build a market-leading data science team. Harnham’s communication is great, and the recruiter’s take a consultative approach that’s really focused on provided value for both their clients and their candidates. They provide strong candidates that help us fill our roles with high achievers who are also a great fit for our culture.
Client /
Director of Customer Data Science – Apparel
Candidate – Chief Data Officer
It was a real treat to work with Harnham. My recruiter consistently went above and beyond to ensure that I navigated through the recruitment process as smooth as possible. I had been in contact with other professional at Harnham in the past and I can attest that the level of professionalism is always top-notch.
Candidate /
Chief Data Officer
Candidate – Data Analyst
I’ve had a great experience with Harnham. The recruiter provided great advice and ensured that I understood everything, and even followed up with me after I started my new role to see how I was settling in. I would recommend Harnham as a great recruitment company for anyone looking for a role in data and analytics.
Candidate /
Data Analyst
Candidate – Digital Media and Analytics
I've recently got a short-term contract role through Harnham, and things couldn't have gone better! My recruiter was incredibly helpful throughout the entire process. They also provided incredible admin support so that I could focus on the actual job in hand, rather than having to spend too much time dealing with these matters.
Candidate /
Digital Media and Analytics
Candidate – Market Research Analyst
Thanks to Harnham, I am now in a role that suits me. My recruiter was able to quickly identify the skills I had to offer and match me up with his client. It was a win-win for everyone. I was given great advice throughout the process, and I also appreciated the follow-ups that I received.
Candidate /
Market Research Analyst
Client – Director of People Operations
We’ve been collaborating with Harnham to recruit some key positions for our company, and they have been incredible partners. They team has been great and efficient. They understood our needs perfectly and provided us very talented candidates. We'll keep collaborating with them in the future. Thank you for your excellent job!
Client /
Director of People Operations
Candidate – Senior Data Engineer
I've been a Senior Data Engineer for about 4-5 years and Harnham is one of the best recruitment agencies I worked with. There was a time when my offer fell through and the recruiter I was working with at Harnham jumped in to the rescue and scheduled interviews for me within a couple of days. Really good agency and some great people.
Candidate /
Senior Data Engineer
Client – 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.
