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!
Data Scientist
Liverpool
£45000 - £55000
+ Data Science & AI
PermanentLiverpool, Merseyside
To Apply for this Job Click Here
Data Scientist
£45,000 – £55,000
Merseyside (3 days a week in office)
This is an excellent opportunity to join a growing Data Science function at a business investing heavily in its data and AI capabilities. You’ll work on high-impact customer and commercial projects, helping to shape how machine learning is adopted across the organisation while gaining exposure to cutting-edge tools and a rapidly evolving data environment.
THE COMPANY
This organisation is investing heavily in its Data and AI capabilities, with a focus on building a scalable Data Science function that delivers real business impact. As Data Science becomes increasingly central to decision-making, you’ll have the opportunity to work on high-profile customer and commercial projects with strong backing from senior leadership. They foster a collaborative, pragmatic culture where Data Scientists are encouraged to move beyond experimentation and deliver solutions that create measurable value. The focus is on deploying models into production and embedding data-driven thinking across the business.
THE ROLE
As a Data Scientist, you will work closely with senior stakeholders, analysts, engineers, and fellow Data Scientists to deliver machine learning solutions across a range of customer and commercial use cases.
Specifically, you can expect to be involved in the following:
- Building and deploying predictive machine learning models
- Developing customer segmentation and customer lifetime value models
- Creating forecasting solutions to support business planning
- Delivering propensity and churn models to improve customer engagement
- Translating complex analytical findings into clear business recommendations
- Collaborating with engineering teams to support model deployment and operationalisation
- Supporting the development of a modern Data Science platform
- Working with cloud-based machine learning tools and technologies
- Engaging directly with stakeholders to understand challenges and define analytical solutions
SKILLS AND EXPERIENCE
The successful Data Scientist will have the following skills and experience:
- Strong commercial experience in Data Science and machine learning
- Advanced Python and SQL skills
- Experience using statistical modelling and predictive analytics techniques
- Knowledge of machine learning algorithms such as XGBoost and related ensemble methods
- Experience delivering projects across the full Data Science lifecycle, from problem definition through to deployment
- Ability to communicate technical concepts clearly to non-technical audiences
- Experience working with customer analytics, segmentation, churn, propensity modelling, forecasting, or related use cases
- Exposure to cloud environments such as Azure or GCP is beneficial
- Experience with Azure ML, Vertex AI, or similar machine learning platforms is advantageous
BENEFITS
The successful Data Scientist will receive the following benefits:
- Salary between £45,000 – £55,000 – depending on experience
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
Data Scientist
Liverpool
£45000 - £55000
+ Data Science & AI
PermanentMerseyside
To Apply for this Job Click Here
Data Scientist
£45,000 – £55,000
Merseyside (3 days a week in office)
This is an excellent opportunity to join a growing Data Science function at a business investing heavily in its data and AI capabilities. You’ll work on high-impact customer and commercial projects, helping to shape how machine learning is adopted across the organisation while gaining exposure to cutting-edge tools and a rapidly evolving data environment.
THE COMPANY
This organisation is investing heavily in its Data and AI capabilities, with a focus on building a scalable Data Science function that delivers real business impact. As Data Science becomes increasingly central to decision-making, you’ll have the opportunity to work on high-profile customer and commercial projects with strong backing from senior leadership. They foster a collaborative, pragmatic culture where Data Scientists are encouraged to move beyond experimentation and deliver solutions that create measurable value. The focus is on deploying models into production and embedding data-driven thinking across the business.
THE ROLE
As a Data Scientist, you will work closely with senior stakeholders, analysts, engineers, and fellow Data Scientists to deliver machine learning solutions across a range of customer and commercial use cases.
Specifically, you can expect to be involved in the following:
- Building and deploying predictive machine learning models
- Developing customer segmentation and customer lifetime value models
- Creating forecasting solutions to support business planning
- Delivering propensity and churn models to improve customer engagement
- Translating complex analytical findings into clear business recommendations
- Collaborating with engineering teams to support model deployment and operationalisation
- Supporting the development of a modern Data Science platform
- Working with cloud-based machine learning tools and technologies
- Engaging directly with stakeholders to understand challenges and define analytical solutions
SKILLS AND EXPERIENCE
The successful Data Scientist will have the following skills and experience:
- Strong commercial experience in Data Science and machine learning
- Advanced Python and SQL skills
- Experience using statistical modelling and predictive analytics techniques
- Knowledge of machine learning algorithms such as XGBoost and related ensemble methods
- Experience delivering projects across the full Data Science lifecycle, from problem definition through to deployment
- Ability to communicate technical concepts clearly to non-technical audiences
- Experience working with customer analytics, segmentation, churn, propensity modelling, forecasting, or related use cases
- Exposure to cloud environments such as Azure or GCP is beneficial
- Experience with Azure ML, Vertex AI, or similar machine learning platforms is advantageous
BENEFITS
The successful Data Scientist will receive the following benefits:
- Salary between £45,000 – £55,000 – depending on experience
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
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
Staff GTM Data Scientist
$190000 - $220000
+ Data Science & AI
PermanentCalifornia
To Apply for this Job Click Here
Staff GTM Data Scientist
Location: Remote
Salary: $190-220k base
We’re partnering with a fast-growing SaaS company to find a Staff Data Scientist for a senior, high-visibility role sitting at the heart of their product and go-to-market strategy. This isn’t a reporting role or a dashboard-builder position. It’s for someone who can drive a genuine shift toward data-driven decision making across the organization, and who has the technical depth and communication skills to bring leadership along with them.
What You’ll Be Doing
- Owning and advancing the company’s experimentation roadmap, focusing on high-leverage questions around customer workflows, churn risk, and long-term value
- Designing and analyzing complex A/B tests, multivariate experiments, and Bayesian methods to assess the real impact of product and business changes
- Applying causal inference techniques (DiD, synthetic control, propensity score matching, instrumental variables) where traditional RCTs aren’t feasible
- Building and governing a unified KPI framework that connects product health metrics to business outcomes
- Partnering with Data Engineering to build scalable, self-serve experimentation tooling and reusable analytical frameworks
- Translating complex statistical findings into clear, compelling narratives for VP and C-suite audiences
- Mentoring and training junior and mid-level data scientists on experimental design and causal modeling
What We’re Looking For
This is a senior individual contributor role reporting to the Director of GTM Data, acting as a strategic thought partner across Product, Marketing, Finance, and Engineering. The company is at an inflection point in how it uses data, and this person will be central to shaping that.
Essential:
- 6+ years in applied data science, economics, or product analytics
- Proven expertise in causal inference: DiD, PSM, instrumental variables, quasi-experimentation
- Deep experience in A/B testing methodology including sequential testing, CUPED, variance reduction, and network effects
- Advanced SQL and Python or R for statistical modeling
- Experience with Snowflake or similar cloud data warehouses
- Exceptional communication skills, comfortable presenting to and influencing C-suite stakeholders
- Demonstrated ability to drive change in organizations where experimentation culture is still maturing
Nice to have:
- Experience with dbt, Airflow, or Databricks
- Background in SaaS and product data science
To Apply for this Job Click Here
Staff Product Data Scientist
$190000 - $220000
+ Data Science & AI
PermanentCalifornia
To Apply for this Job Click Here
Staff Data Scientist (Product)
Location: Remote
Salary: $190-220k
We’re partnering with a fast-growing SaaS company to find a Staff Data Scientist for a senior, high-visibility role embedded in their product organization. This is for someone who combines deep statistical expertise with the ability to influence how an entire company makes decisions – not just someone who runs experiments, but someone who builds the culture and infrastructure around them.
What You’ll Be Doing
- Owning and advancing the company’s experimentation roadmap, focused on high-leverage product questions around customer workflows, churn risk, and long-term value
- Designing and analyzing complex A/B tests, multivariate experiments, and Bayesian methods to measure the real impact of product changes
- Applying causal inference techniques (DiD, synthetic control, propensity score matching, instrumental variables) where traditional RCTs aren’t feasible
- Building and governing a unified KPI framework that connects product health metrics to meaningful business outcomes
- Partnering with Data Engineering to build scalable, self-serve experimentation tooling and reusable analytical frameworks
- Translating complex statistical findings into clear, compelling narratives for VP and C-suite audiences
- Mentoring and training junior and mid-level data scientists on experimental design and causal modeling
What We’re Looking For
This is a senior individual contributor role reporting to the Director of Product Data, acting as a strategic thought partner across Product, Engineering, Finance, Design, and Product Marketing. The company is at an inflection point in how it uses data to make product decisions, and this person will be central to shaping that.
Essential:
- 6+ years in applied data science, economics, or product analytics
- Proven expertise in causal inference: DiD, PSM, instrumental variables, quasi-experimentation
- Deep experience in A/B testing methodology including sequential testing, CUPED, variance reduction, and network effects
- Advanced SQL and Python or R for statistical modeling
- Experience with Snowflake or similar cloud data warehouses
- Exceptional communication skills, comfortable presenting to and influencing C-suite stakeholders
- Demonstrated ability to drive change in organizations where experimentation culture is still developing
Nice to have:
- Experience with dbt, Airflow, or Databricks
- Background in SaaS and product data science
To Apply for this Job Click Here
Fraud Data Scientist
London
£55000 - £65000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Fraud Data Scientist
London (Hybrid, 2 Days per Week) | £55,000 – £65,000
This is an exciting opportunity for a Fraud Data Scientist to take ownership of fraud analytics and fraud prevention within a growing fintech business. You’ll work on high-impact fraud modelling initiatives, helping to shape how the organisation identifies, prevents, and responds to evolving fraud risks while contributing to a business focused on delivering positive outcomes for its customers.
The Company
This fast-growing fintech has developed an alternative approach to consumer lending, focused on providing a more transparent and predictable borrowing experience. Their innovative model is designed to support customers with managing repayments while helping them build stronger financial habits.
With continued growth and investment in data and analytics, the business is strengthening its Decision Science capability and looking for talented individuals who want to make a visible impact. They are also committed to promoting financial education within local communities and have built a strong reputation for their collaborative and supportive culture.
As a Fraud Data Scientist, you will be responsible for developing and improving the organisation’s fraud prevention capabilities through advanced analytics and machine learning.
Key responsibilities include:
- Owning fraud analytics and fraud prevention initiatives across the business.
- Developing fraud detection, fraud scoring, and identity verification models.
- Enhancing fraud decisioning through the incorporation of new data sources and innovative modelling approaches.
- Analysing fraud trends, risks, and insights to identify opportunities for improvement.
- Monitoring model performance and recommending enhancements to optimise outcomes.
- Collaborating with underwriting, product, engineering, and wider business teams to implement fraud solutions.
- Translating analytical findings into clear recommendations that drive fraud prevention strategy.
- Supporting the business in identifying and responding to emerging fraud threats, including identity and first-party fraud.
Your Skills & Experience
- Strong commercial experience working within fraud analytics, fraud data science, or fraud strategy.
- Experience within a lending business, fintech, banking, payments, e-commerce, or a similar fraud-focused environment.
- Strong Python and SQL skills are essential.
- Experience developing fraud models or applying advanced statistical analysis to fraud prevention challenges.
- Understanding of fraud detection, fraud scoring, identity verification, or fraud strategy frameworks.
- Ability to measure, communicate, and demonstrate the business impact of fraud initiatives.
- Experience working with cross-functional stakeholders to implement analytical solutions.
- Exposure to AWS SageMaker and Databricks would be beneficial.
How to Apply
If you are interested in this Fraud Data Scientist opportunity and would like to learn more, please apply with your CV for immediate consideration.
To Apply for this Job Click Here
Data Scientist
Liverpool
£50000 - £55000
+ Data Science & AI
PermanentLiverpool, Merseyside
To Apply for this Job Click Here
Data Scientist
Merseyside (3 days per week) | Up to £55,000
Looking to make a tangible impact with Data Science in a business that is investing heavily in data and AI? This is an opportunity to join a growing team at a pivotal stage in its transformation, helping to build scalable machine learning solutions that drive real commercial outcomes. You’ll work closely with senior stakeholders and play a key role in shaping how Data Science is embedded across the organisation.
The Company
They are a well-established consumer-focused organisation undergoing a significant data and AI transformation. With strong investment in technology, analytics, and customer insight capabilities, they are building a modern Data Science function focused on delivering measurable business value.
The team is moving beyond ad hoc analytics towards scalable, production-ready machine learning solutions. Data is at the heart of strategic decision-making, creating an exciting environment for a commercially minded Data Scientist to make an impact.
The Role
As a Data Scientist, you will work closely with Data Science leadership, engineers, analysts, and business stakeholders to develop and deploy machine learning solutions across a range of customer and commercial use cases.
Responsibilities include:
- Building, validating, and deploying predictive and machine learning models
- Developing customer segmentation and customer lifetime value models
- Supporting forecasting initiatives to improve commercial planning
- Delivering targeted customer and personalisation use cases
- Working across the full Data Science lifecycle from problem definition through to production deployment
- Collaborating with technical and non-technical stakeholders to translate business challenges into analytical solutions
- Contributing to the development of a scalable Data Science platform and best practice framework
- Presenting insights and recommendations clearly to business audiences
Your Skills & Experience
- Strong commercial experience in Data Science and machine learning
- Excellent Python skills, with SQL expertise
- Experience delivering end-to-end Data Science projects from development to deployment
- Knowledge of statistical modelling, forecasting, and predictive analytics techniques
- Experience communicating technical concepts to non-technical stakeholders
- Ability to work in a collaborative, business-focused environment
- Exposure to cloud technologies such as GCP or Azure is advantageous
- Experience with Vertex AI, Azure ML, or similar machine learning platforms is beneficial
What They Offer
- Salary up to £55,000
- Hybrid working with 3 days per week in Knowsley
- Opportunity to join a growing Data Science team at an early stage of its journey
- Exposure to high-profile customer and commercial projects
- Significant opportunity to influence tooling, processes, and best practice
- Ongoing professional development and career progression opportunities
- Inclusive and collaborative working environment
How to Apply
- If you’re a Data Scientist who enjoys solving real business problems with data and wants to help shape a growing machine learning capability, apply today to find out more.
To Apply for this Job Click Here
Lead Data Scientist
Atlanta
$140000 - $150000
+ Data Science & AI
PermanentAtlanta, Georgia
To Apply for this Job Click Here
Lead Data Scientist
Base salary: $140,000 – $150,000
Overview
A leading enterprise organisation is seeking a senior-level Data Scientist to lead the development, validation, and implementation of advanced quantitative models in a highly regulated environment. This role will serve as a technical leader, partnering with business and executive stakeholders to identify financial opportunities, quantify outcomes, and drive data-driven decision making.
The successful candidate will bring deep expertise in risk and financial modelling, strong statistical and mathematical foundations, and the ability to independently deliver complex analytics projects from concept through deployment and governance review.
Key Responsibilities
- Design, develop, validate, and monitor advanced predictive and risk models.
- Analyse large-scale financial, transactional, and customer datasets.
- Apply machine learning and statistical techniques to solve complex business problems.
- Translate model insights into measurable financial impact and business recommendations.
- Lead analytics initiatives from problem definition through implementation and performance tracking.
- Present technical findings and strategic recommendations to senior leadership and executive stakeholders.
- Support model governance activities, regulatory reviews, and external audit processes.
- Collaborate with cross-functional teams to ensure models are aligned with business objectives and compliance requirements.
- Provide technical guidance and mentorship to peers and junior team members.
Required Qualifications
- 8+ years of experience in Data Science, Quantitative Analytics, Risk Analytics, or a related discipline.
- Advanced proficiency in Python and SQL.
- Strong expertise in data modelling, statistical analysis, and quantitative problem solving.
- Experience developing and evaluating gradient boosting and other predictive modelling techniques.
- Proven ability to independently own and drive complex analytical projects.
- Exceptional communication and presentation skills, including experience presenting to executive audiences.
- Demonstrated experience defending models during audits, reviews, or governance assessments.
- Background in financial or risk modelling within a regulated industry.
Required Domain Experience
Candidates should have experience in one or more of the following areas:
- Credit risk modelling
- Financial forecasting and modelling
- Loss estimation and assessment
- Probability of Default (PD) modelling
- Risk scorecard development
- Payment and behavioural modelling
- Credit attribute modelling
- Banking, lending, consumer credit, mortgage, or credit bureau data
- Financial impact analysis
- Risk analytics within regulated financial institutions
Preferred Qualifications
- Bachelor’s degree in a quantitative discipline such as Mathematics, Statistics, Economics, Computer Science, Engineering, or a related field.
- Master’s degree in Data Science, Statistics, Applied Mathematics, Economics, or a similar quantitative discipline preferred.
- Advanced academic training with significant mathematical and statistical coursework.
Work Model / Location / Engagement Details
- Hybrid work arrangement requiring onsite attendance four days per week (Monday through Thursday).
To Apply for this Job Click Here
Lead Data Scientist
Dallas
$140000 - $150000
+ Data Science & AI
PermanentDallas, Texas
To Apply for this Job Click Here
Lead Data Scientist
Base salary: $140,000 – $150,000
Overview
A leading enterprise organisation is seeking a senior-level Data Scientist to lead the development, validation, and implementation of advanced quantitative models in a highly regulated environment. This role will serve as a technical leader, partnering with business and executive stakeholders to identify financial opportunities, quantify outcomes, and drive data-driven decision making.
The successful candidate will bring deep expertise in risk and financial modelling, strong statistical and mathematical foundations, and the ability to independently deliver complex analytics projects from concept through deployment and governance review.
Key Responsibilities
- Design, develop, validate, and monitor advanced predictive and risk models.
- Analyse large-scale financial, transactional, and customer datasets.
- Apply machine learning and statistical techniques to solve complex business problems.
- Translate model insights into measurable financial impact and business recommendations.
- Lead analytics initiatives from problem definition through implementation and performance tracking.
- Present technical findings and strategic recommendations to senior leadership and executive stakeholders.
- Support model governance activities, regulatory reviews, and external audit processes.
- Collaborate with cross-functional teams to ensure models are aligned with business objectives and compliance requirements.
- Provide technical guidance and mentorship to peers and junior team members.
Required Qualifications
- 8+ years of experience in Data Science, Quantitative Analytics, Risk Analytics, or a related discipline.
- Advanced proficiency in Python and SQL.
- Strong expertise in data modelling, statistical analysis, and quantitative problem solving.
- Experience developing and evaluating gradient boosting and other predictive modelling techniques.
- Proven ability to independently own and drive complex analytical projects.
- Exceptional communication and presentation skills, including experience presenting to executive audiences.
- Demonstrated experience defending models during audits, reviews, or governance assessments.
- Background in financial or risk modelling within a regulated industry.
Required Domain Experience
Candidates should have experience in one or more of the following areas:
- Credit risk modelling
- Financial forecasting and modelling
- Loss estimation and assessment
- Probability of Default (PD) modelling
- Risk scorecard development
- Payment and behavioural modelling
- Credit attribute modelling
- Banking, lending, consumer credit, mortgage, or credit bureau data
- Financial impact analysis
- Risk analytics within regulated financial institutions
Preferred Qualifications
- Bachelor’s degree in a quantitative discipline such as Mathematics, Statistics, Economics, Computer Science, Engineering, or a related field.
- Master’s degree in Data Science, Statistics, Applied Mathematics, Economics, or a similar quantitative discipline preferred.
- Advanced academic training with significant mathematical and statistical coursework.
Work Model / Location / Engagement Details
- Hybrid work arrangement requiring onsite attendance four days per week (Monday through Thursday).
To Apply for this Job Click Here
Lead Data Scientist
Tempe
$140000 - $150000
+ Data Science & AI
PermanentTempe, Arizona
To Apply for this Job Click Here
Lead Data Scientist
Base salary: $140,000 – $150,000
Overview
A leading enterprise organisation is seeking a senior-level Data Scientist to lead the development, validation, and implementation of advanced quantitative models in a highly regulated environment. This role will serve as a technical leader, partnering with business and executive stakeholders to identify financial opportunities, quantify outcomes, and drive data-driven decision making.
The successful candidate will bring deep expertise in risk and financial modelling, strong statistical and mathematical foundations, and the ability to independently deliver complex analytics projects from concept through deployment and governance review.
Key Responsibilities
- Design, develop, validate, and monitor advanced predictive and risk models.
- Analyse large-scale financial, transactional, and customer datasets.
- Apply machine learning and statistical techniques to solve complex business problems.
- Translate model insights into measurable financial impact and business recommendations.
- Lead analytics initiatives from problem definition through implementation and performance tracking.
- Present technical findings and strategic recommendations to senior leadership and executive stakeholders.
- Support model governance activities, regulatory reviews, and external audit processes.
- Collaborate with cross-functional teams to ensure models are aligned with business objectives and compliance requirements.
- Provide technical guidance and mentorship to peers and junior team members.
Required Qualifications
- 8+ years of experience in Data Science, Quantitative Analytics, Risk Analytics, or a related discipline.
- Advanced proficiency in Python and SQL.
- Strong expertise in data modelling, statistical analysis, and quantitative problem solving.
- Experience developing and evaluating gradient boosting and other predictive modelling techniques.
- Proven ability to independently own and drive complex analytical projects.
- Exceptional communication and presentation skills, including experience presenting to executive audiences.
- Demonstrated experience defending models during audits, reviews, or governance assessments.
- Background in financial or risk modelling within a regulated industry.
Required Domain Experience
Candidates should have experience in one or more of the following areas:
- Credit risk modelling
- Financial forecasting and modelling
- Loss estimation and assessment
- Probability of Default (PD) modelling
- Risk scorecard development
- Payment and behavioural modelling
- Credit attribute modelling
- Banking, lending, consumer credit, mortgage, or credit bureau data
- Financial impact analysis
- Risk analytics within regulated financial institutions
Preferred Qualifications
- Bachelor’s degree in a quantitative discipline such as Mathematics, Statistics, Economics, Computer Science, Engineering, or a related field.
- Master’s degree in Data Science, Statistics, Applied Mathematics, Economics, or a similar quantitative discipline preferred.
- Advanced academic training with significant mathematical and statistical coursework.
Work Model / Location / Engagement Details
- Hybrid work arrangement requiring onsite attendance four days per week (Monday through Thursday).
To Apply for this Job Click Here
Data Scientist
Liverpool
£50000 - £55000
+ Data Science & AI
PermanentLiverpool, Merseyside
To Apply for this Job Click Here
Data Scientist
Liverpool | Up to £55,000 + Benefits
Join a growing Data Science team within a large UK organisation investing heavily in Data & AI. This is an opportunity to work on customer-focused machine learning projects, help scale Data Science capabilities, and deliver models that create real commercial impact.
The Company
They are building a modern Data Science function as part of a wider data transformation programme. With increasing investment in customer analytics and personalisation, the team is focused on developing scalable solutions that support business growth. The culture is collaborative, pragmatic, and centred on delivering value through production-ready machine learning.
The Role
- Build and deploy predictive and statistical models
- Develop customer segmentation, customer lifetime value, and churn models
- Deliver forecasting and customer analytics solutions
- Work across the full Data Science lifecycle from problem definition to deployment
- Partner with analysts, engineers, and business stakeholders
- Present insights and recommendations to non-technical audiences
- Support the development of Data Science best practices and capabilities
Your Skills & Experience
- Strong commercial Data Science experience
- Excellent Python and SQL skills
- Experience with machine learning and statistical modelling
- Proven experience deploying models into production
- Strong stakeholder management and communication skills
- Exposure to Azure or GCP is advantageous
- Experience with customer analytics or forecasting is beneficial
What They Offer
- Salary up to £55,000, with flexibility for exceptional candidates
- Hybrid working with 3 days per week onsite in Liverpool
- Exposure to high-impact machine learning projects
- Opportunity to help shape a growing Data Science function
- Staff discount, pension, wellbeing support, life assurance, and additional benefits
How to Apply
If you’re a Data Scientist with strong Python, SQL, and machine learning experience looking to make a tangible business impact, please apply today.
To Apply for this Job Click Here
Data Scientist
London
£70000 - £90000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Data Science Engineer
London 2-3 days
Join a newly established R&D function building data-driven and AI-enabled products. This is a hands-on role for someone who enjoys combining Data Science and Data Engineering to create scalable data solutions with real business impact.
The Company
They are investing heavily in data and AI, with a small multidisciplinary team focused on building analytical products from concept through to production. You’ll work in a collaborative environment with plenty of ownership and exposure to cutting-edge technologies.
The Role
- Build scalable data pipelines using Microsoft Fabric and Databricks
- Develop machine learning solutions across forecasting, anomaly detection, recommendation systems, and information extraction
- Work with structured, semi-structured, and document-heavy datasets
- Create reusable data assets and analytical products
- Contribute to testing, APIs, CI/CD, and production deployments
- Partner with stakeholders to solve business challenges through data
Your Skills & Experience
- Strong experience across both Data Science and Data Engineering
- Hands-on expertise with Microsoft Fabric and Databricks
- Advanced Python and SQL skills, with PySpark desirable
- Experience building data pipelines and machine learning models
- Knowledge of NLP, entity resolution, or document processing is advantageous
- Strong communication skills and commercial awareness
To Apply for this Job Click Here
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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 – 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 – 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
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.
Client /
Data Direction – Broadcast Media
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 – 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.
