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
£550 - £625
+ Data Science & AI
ContractEngland
To Apply for this Job Click Here
Data Scientist Consultant
Remote (UK) | £550- £625 Inside IR35 | 3 Month contract with high potentital to extend
This is a fantastic opportunity to join an innovative data and analytics organisation that is investing heavily in advanced analytics, machine learning, and cloud technologies. You will play a key role in developing next-generation predictive models, risk solutions, and data-driven products that help businesses make smarter decisions.
The Company
They are a leading data, analytics, and technology business that helps organisations unlock value from complex datasets. Through advanced analytics, machine learning, and cloud-based platforms, they deliver solutions across risk management, fraud prevention, customer insights, and business intelligence. Their teams work on innovative products that combine rich data assets with cutting-edge analytical techniques to solve commercial challenges.
The Role and Deliverables
- Design, develop, and deploy predictive models, risk scorecards, and advanced analytical solutions.
- Build and optimise scalable data pipelines to support large and complex datasets.
- Apply statistical modelling and machine learning techniques to solve commercial risk, fraud, and business performance challenges.
- Develop innovative data products and prototype new analytical methodologies.
- Collaborate with product, engineering, and commercial teams to translate business challenges into data-driven solutions.
- Present insights and recommendations to stakeholders while maintaining high standards of data quality, governance, and regulatory compliance.
Your Skills & Experience
Tech Stack: Python, SQL, Google Cloud Platform (GCP)
- Strong experience with Python and SQL for data science and advanced analytics.
- Experience developing predictive models, scorecards, and machine learning solutions.
- Strong knowledge of Google Cloud Platform (GCP) and cloud-based analytics environments.
- Experience working with commercial, financial, credit bureau, or business datasets.
- Understanding of feature engineering, model validation, auditing, and data quality frameworks.
- Knowledge of machine learning techniques including XGBoost, Random Forests, and Neural Networks.
- Familiarity with Git version control and software engineering best practices.
- Ability to communicate complex analytical findings to both technical and non-technical stakeholders.
- Experience within credit risk, commercial lending, fraud analytics, or financial services is highly desirable.
- Knowledge of regulatory frameworks relating to risk and financial services would be advantageous.
How to Apply
If you are passionate about data science, machine learning, predictive modelling, and building innovative analytics products, apply today to learn more about this opportunity.
To Apply for this Job Click Here
Forward Deployed AI Engineer (Contract)
London
£500 - £600
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Forward Deployed AI Engineer
London, 2 Days On Site
Part time – 3 days Per Week
12 Months Long
Outside IR35
£450 – £550 Per Day
The Company
They are a specialist investment-focused organisation with a portfolio of businesses across multiple sectors. They are actively exploring how AI can enhance operations, improve workflows, and unlock efficiencies across their portfolio. With a collaborative and entrepreneurial culture, they are looking for an experienced contractor who can influence strategy while remaining hands-on with delivery.
The Role and Deliverables
- Assess existing business processes and identify opportunities for AI-driven automation and optimisation.
- Design and build AI solutions using technologies such as LLMs, agents and retrieval-augmented generation (RAG).
- Create practical roadmaps for AI adoption, including prioritised implementation plans.
- Engage with business stakeholders to communicate opportunities, risks and recommendations.
- Develop, deploy and scale production-ready AI applications.
- Support portfolio businesses with AI strategy and solution implementation where required.
Your Skills & Experience
- Strong experience designing and delivering end-to-end AI solutions in commercial environments.
- Capability to work across strategy, architecture and hands-on engineering.
- Expertise with LLMs, AI agents, RAG frameworks and modern AI tooling.
- Experience assessing business processes and translating requirements into technical solutions.
- Strong stakeholder management and communication skills.
- Background working within smaller, high-growth businesses, consultancies or project-based environments.
How to Apply
If you are interested in a contract opportunity where you can shape AI strategy and build impactful solutions, please apply with your latest CV.
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
$140,000-$150,000 + 10% bonus
Overview
A growing organisation is seeking an experienced Lead Data Scientist to drive strategic analytics initiatives across customer experience, operational efficiency, asset performance, and cost optimisation. This highly visible role partners closely with senior business leaders to identify challenges, develop data-driven solutions, and influence decision-making through advanced analytics and predictive modelling.
The ideal candidate combines deep technical expertise with strong business acumen, excels at communicating complex concepts to non-technical audiences, and has a proven track record of leading projects from concept through implementation with minimal supervision.
Key Responsibilities
Project Leadership & Stakeholder Management
- Build trusted relationships with senior stakeholders, including director- and executive-level leaders.
- Independently lead projects from problem definition through deployment and performance monitoring.
- Facilitate intake sessions, define project scope, estimate effort, manage priorities, and communicate progress effectively.
- Mentor and guide junior analysts and data scientists on methodology, project structure, and technical execution.
- Present findings and recommendations to leadership teams, including executive audiences.
Advanced Analytics & Data Science
- Develop and deploy predictive models using machine learning techniques such as gradient boosting, ensemble methods, decision trees, and other supervised and unsupervised learning approaches.
- Design segmentation frameworks using clustering and classification techniques.
- Conduct statistical analysis, model validation, back-testing, and performance measurement to ensure reliability and business value.
- Identify patterns, root causes, and opportunities through large-scale data analysis.
- Develop innovative analytical approaches to improve insight generation and operational effectiveness.
- Support business decision-making through forecasting, scoring models, optimisation techniques, and operational analytics.
Data Management & Process Improvement
- Gather, reconcile, clean, validate, and integrate data from multiple internal and external sources.
- Establish data quality standards and controls to improve accuracy and consistency.
- Design and implement processes that reduce risk, improve efficiency, and create measurable business value.
- Monitor and assess the ongoing performance of implemented analytical solutions.
Executive Communication
- Translate complex analytical findings into actionable business recommendations.
- Develop compelling executive presentations and data-driven narratives that influence organisational strategy and operational improvements.
Required Qualifications
- Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Engineering, Economics, Computer Science, or a related discipline.
- 10+ years of experience in data science, advanced analytics, predictive modelling, risk analytics, or a related quantitative function.
- 3+ years of hands-on Python experience building machine learning, forecasting, regression, classification, and segmentation models.
- 3+ years of advanced SQL experience, including optimisation of complex queries across large datasets.
- Strong expertise in statistical methods, probability theory, experimental design, predictive analytics, sampling techniques, and model evaluation.
- Demonstrated experience analysing large structured and unstructured datasets.
- Experience presenting analytical insights to executive audiences and influencing strategic decisions.
- Ability to communicate complex technical concepts to business stakeholders with varying levels of analytical expertise.
- Strong project management, prioritisation, and multitasking skills.
- Proven ability to work independently in a fast-paced, evolving environment.
- Experience sourcing, validating, and integrating data from multiple systems and platforms.
Preferred Qualifications
- Master’s degree in a quantitative discipline.
- Experience in risk management, portfolio analytics, financial modelling, or asset performance analysis.
- Experience using consumer, credit, demographic, or third-party external datasets.
- Prior experience developing scoring models, predictive risk models, or decision-support frameworks.
- Experience within highly regulated industries where model governance, validation, and audit requirements are critical.
- Familiarity with model risk management frameworks and third-party model review processes.
- Experience working with cloud-based data and analytics environments, including object storage and large-scale compute platforms.
- Experience with modern data warehouse technologies.
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
$140,000-$150,000 + 10% bonus
Overview
A growing organisation is seeking an experienced Lead Data Scientist to drive strategic analytics initiatives across customer experience, operational efficiency, asset performance, and cost optimisation. This highly visible role partners closely with senior business leaders to identify challenges, develop data-driven solutions, and influence decision-making through advanced analytics and predictive modelling.
The ideal candidate combines deep technical expertise with strong business acumen, excels at communicating complex concepts to non-technical audiences, and has a proven track record of leading projects from concept through implementation with minimal supervision.
Key Responsibilities
Project Leadership & Stakeholder Management
- Build trusted relationships with senior stakeholders, including director- and executive-level leaders.
- Independently lead projects from problem definition through deployment and performance monitoring.
- Facilitate intake sessions, define project scope, estimate effort, manage priorities, and communicate progress effectively.
- Mentor and guide junior analysts and data scientists on methodology, project structure, and technical execution.
- Present findings and recommendations to leadership teams, including executive audiences.
Advanced Analytics & Data Science
- Develop and deploy predictive models using machine learning techniques such as gradient boosting, ensemble methods, decision trees, and other supervised and unsupervised learning approaches.
- Design segmentation frameworks using clustering and classification techniques.
- Conduct statistical analysis, model validation, back-testing, and performance measurement to ensure reliability and business value.
- Identify patterns, root causes, and opportunities through large-scale data analysis.
- Develop innovative analytical approaches to improve insight generation and operational effectiveness.
- Support business decision-making through forecasting, scoring models, optimisation techniques, and operational analytics.
Data Management & Process Improvement
- Gather, reconcile, clean, validate, and integrate data from multiple internal and external sources.
- Establish data quality standards and controls to improve accuracy and consistency.
- Design and implement processes that reduce risk, improve efficiency, and create measurable business value.
- Monitor and assess the ongoing performance of implemented analytical solutions.
Executive Communication
- Translate complex analytical findings into actionable business recommendations.
- Develop compelling executive presentations and data-driven narratives that influence organisational strategy and operational improvements.
Required Qualifications
- Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Engineering, Economics, Computer Science, or a related discipline.
- 10+ years of experience in data science, advanced analytics, predictive modelling, risk analytics, or a related quantitative function.
- 3+ years of hands-on Python experience building machine learning, forecasting, regression, classification, and segmentation models.
- 3+ years of advanced SQL experience, including optimisation of complex queries across large datasets.
- Strong expertise in statistical methods, probability theory, experimental design, predictive analytics, sampling techniques, and model evaluation.
- Demonstrated experience analysing large structured and unstructured datasets.
- Experience presenting analytical insights to executive audiences and influencing strategic decisions.
- Ability to communicate complex technical concepts to business stakeholders with varying levels of analytical expertise.
- Strong project management, prioritisation, and multitasking skills.
- Proven ability to work independently in a fast-paced, evolving environment.
- Experience sourcing, validating, and integrating data from multiple systems and platforms.
Preferred Qualifications
- Master’s degree in a quantitative discipline.
- Experience in risk management, portfolio analytics, financial modelling, or asset performance analysis.
- Experience using consumer, credit, demographic, or third-party external datasets.
- Prior experience developing scoring models, predictive risk models, or decision-support frameworks.
- Experience within highly regulated industries where model governance, validation, and audit requirements are critical.
- Familiarity with model risk management frameworks and third-party model review processes.
- Experience working with cloud-based data and analytics environments, including object storage and large-scale compute platforms.
- Experience with modern data warehouse technologies.
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
$140,000-$150,000 + 10% bonus
Overview
A growing organisation is seeking an experienced Lead Data Scientist to drive strategic analytics initiatives across customer experience, operational efficiency, asset performance, and cost optimisation. This highly visible role partners closely with senior business leaders to identify challenges, develop data-driven solutions, and influence decision-making through advanced analytics and predictive modelling.
The ideal candidate combines deep technical expertise with strong business acumen, excels at communicating complex concepts to non-technical audiences, and has a proven track record of leading projects from concept through implementation with minimal supervision.
Key Responsibilities
Project Leadership & Stakeholder Management
- Build trusted relationships with senior stakeholders, including director- and executive-level leaders.
- Independently lead projects from problem definition through deployment and performance monitoring.
- Facilitate intake sessions, define project scope, estimate effort, manage priorities, and communicate progress effectively.
- Mentor and guide junior analysts and data scientists on methodology, project structure, and technical execution.
- Present findings and recommendations to leadership teams, including executive audiences.
Advanced Analytics & Data Science
- Develop and deploy predictive models using machine learning techniques such as gradient boosting, ensemble methods, decision trees, and other supervised and unsupervised learning approaches.
- Design segmentation frameworks using clustering and classification techniques.
- Conduct statistical analysis, model validation, back-testing, and performance measurement to ensure reliability and business value.
- Identify patterns, root causes, and opportunities through large-scale data analysis.
- Develop innovative analytical approaches to improve insight generation and operational effectiveness.
- Support business decision-making through forecasting, scoring models, optimisation techniques, and operational analytics.
Data Management & Process Improvement
- Gather, reconcile, clean, validate, and integrate data from multiple internal and external sources.
- Establish data quality standards and controls to improve accuracy and consistency.
- Design and implement processes that reduce risk, improve efficiency, and create measurable business value.
- Monitor and assess the ongoing performance of implemented analytical solutions.
Executive Communication
- Translate complex analytical findings into actionable business recommendations.
- Develop compelling executive presentations and data-driven narratives that influence organisational strategy and operational improvements.
Required Qualifications
- Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Engineering, Economics, Computer Science, or a related discipline.
- 10+ years of experience in data science, advanced analytics, predictive modelling, risk analytics, or a related quantitative function.
- 3+ years of hands-on Python experience building machine learning, forecasting, regression, classification, and segmentation models.
- 3+ years of advanced SQL experience, including optimisation of complex queries across large datasets.
- Strong expertise in statistical methods, probability theory, experimental design, predictive analytics, sampling techniques, and model evaluation.
- Demonstrated experience analysing large structured and unstructured datasets.
- Experience presenting analytical insights to executive audiences and influencing strategic decisions.
- Ability to communicate complex technical concepts to business stakeholders with varying levels of analytical expertise.
- Strong project management, prioritisation, and multitasking skills.
- Proven ability to work independently in a fast-paced, evolving environment.
- Experience sourcing, validating, and integrating data from multiple systems and platforms.
Preferred Qualifications
- Master’s degree in a quantitative discipline.
- Experience in risk management, portfolio analytics, financial modelling, or asset performance analysis.
- Experience using consumer, credit, demographic, or third-party external datasets.
- Prior experience developing scoring models, predictive risk models, or decision-support frameworks.
- Experience within highly regulated industries where model governance, validation, and audit requirements are critical.
- Familiarity with model risk management frameworks and third-party model review processes.
- Experience working with cloud-based data and analytics environments, including object storage and large-scale compute platforms.
- Experience with modern data warehouse technologies.
To Apply for this Job Click Here
Data Scientist Consultant (Contract)
London
£500 - £640
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Data Scientist Consultant
Fully Remote (Need right to work in UK)
Inside IR35
£500 – £640 Per Day
Start Immediately
The Company
They are a well-established organisation with a strong focus on data-driven innovation within financial services and credit analytics. Their teams develop sophisticated modelling solutions, risk products, and decisioning tools powered by extensive commercial data assets. With continued investment in cloud technologies and advanced analytics, they are building the next generation of AI and machine learning capabilities. You will join a collaborative environment that values technical excellence, innovation, and commercial impact.
The Role and Deliverables
- Develop predictive models, credit risk scorecards, and advanced analytical solutions using large-scale financial and commercial datasets.
- Prepare, audit, cleanse, and analyse complex credit and business data to generate actionable insights.
- Design and optimise scalable data pipelines to support machine learning and analytics workflows.
- Partner with business stakeholders to translate commercial and risk challenges into data-driven solutions.
- Communicate analytical findings through clear visualisations and business-focused recommendations.
- Support the adoption of modern cloud technologies, machine learning techniques, and analytics best practice.
Your Skills & Experience
- Recent experience within financial services, credit risk, lending, credit bureaux, or commercial credit analytics is essential.
- Strong experience building predictive models, risk scorecards, or decisioning solutions within a regulated financial environment.
- Proven experience working with credit, lending, bureau, or commercial financial datasets.
- Strong Python and SQL skills for data science, analytics, and data engineering activities.
- Experience applying statistical and machine learning techniques to solve complex commercial or risk-related problems.
- Hands-on experience working within Google Cloud Platform environments.
- Understanding of model development lifecycles, model governance, validation, and version control best practices.
- Strong stakeholder management skills with the ability to communicate technical findings to non-technical audiences.
How to Apply
If you have recent experience in credit risk, lending, or financial services data science and are looking to deliver high-impact modelling projects in a modern cloud environment, apply today to learn more.
To Apply for this Job Click Here
Senior Data Scientist
London
£70000 - £90000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
DATA SCIENTIST, DECISION SCIENCES
London OR Cossington (Hybrid)
THE COMPANY
A data-driven consumer business with a large and engaged customer base is seeking a Data Scientist to join their Decision Sciences team. They are investing heavily in advanced analytics and machine learning, with data playing a central role in strategic decision-making across the organisation. You’ll work in a collaborative environment alongside analytics, marketing, and commercial stakeholders, delivering solutions that have a tangible impact on customer outcomes.
THE ROLE
- Build and develop machine learning models focused on customer retention, churn prediction, and customer lifetime value
- Evaluate and improve existing modelling pipelines to increase accuracy and commercial impact
- Partner with CRM and marketing teams to translate model outputs into actionable retention strategies
- Develop forecasting and marketing effectiveness models to support business planning and decision-making
- Design, analyse, and interpret A/B tests and experimentation frameworks
- Deliver insight through deep-dive analysis, dashboards, and clear communication to stakeholders
YOUR SKILLS & EXPERIENCE
- Strong commercial experience as a Data Scientist within marketing, ecommerce, customer, loyalty, or membership environments
- Advanced Python and SQL skills, with experience working in modern data environments
- Strong understanding of statistical modelling, experimentation, and causal inference
- Experience building and deploying predictive machine learning models
- Ability to communicate technical findings to non-technical audiences
- Experience working closely with CRM or lifecycle marketing teams is advantageous
WHAT THEY OFFER
- Competitive salary plus bonus
- Hybrid working and flexible hours
- Private healthcare and enhanced pension package
- Additional annual leave and wellbeing benefits
- Ongoing learning and development opportunities
- Clear career progression within a growing data team
HOW TO APPLY
To find out more about this Data Scientist, Decision Sciences opportunity, please submit your CV for consideration.
To Apply for this Job Click Here
Data Scientist
Knowsley,
£40000 - £50000
+ Data Science & AI
PermanentKnowsley, Merseyside
To Apply for this Job Click Here
Data Scientist
Knowsley – 3 days a week
The Company
They are a well established UK retail business undergoing a broader data and AI transformation. The organisation is investing in building a modern Data Science capability to support decision making across commercial and customer functions. Their culture is practical, collaborative and delivery focused, with an emphasis on creating value quickly rather than over engineering solutions. Data is increasingly central to their strategy, particularly with the launch of a new customer loyalty programme.
The Role
You will work closely with the Data Science Lead and a small but growing team to develop and productionise machine learning solutions.
- Build and deploy models that support customer and commercial decision making
- Work on use cases such as customer segmentation, lifetime value modelling and demand forecasting
- Contribute to the development of a scalable Data Science platform
- Collaborate with data engineers, analysts and business stakeholders
- Translate business problems into data science solutions and clearly communicate outputs
- Support the expansion of existing models into broader production use
Your Skills and Experience
- Strong commercial experience in Data Science using Python
- Solid SQL skills and experience working with large datasets
- End to end experience delivering Data Science solutions from problem definition through to deployment
- Experience building and validating machine learning models
- Ability to communicate insights clearly to non technical audiences
- A practical, business focused approach to problem solving
What They Offer
- Hybrid working with three days per week in Knowsley
- Opportunity to shape and influence a growing Data Science function
- Exposure to end to end project work with real business impact
- A collaborative environment focused on learning and delivery
How to Apply
Apply now to learn more about this Data Scientist opportunity and the impact you can make within a growing data driven environment.
To Apply for this Job Click Here
Senior Machine Learning Scientist
London
£80000 - £95000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Machine Learning Scientist
London (Remote)
The Company
They are an innovative technology business leveraging advanced machine learning, natural language processing, and Generative AI to help organisations extract meaningful insights from large volumes of unstructured data. Their environment combines research, experimentation, and product development, giving technical teams the opportunity to work on real-world AI challenges while delivering measurable business impact.
The Role
- Train, evaluate and optimise machine learning models and agentic AI systems, owning experimentation from end to end.
- Build and enhance LLM-powered solutions including retrieval pipelines, reranking systems, intelligent agents and automated taxonomy generation.
- Design robust evaluation frameworks, define metrics and benchmark model performance across a range of NLP applications.
- Improve semantic search and retrieval capabilities using advanced machine learning and information retrieval techniques.
- Partner with engineering teams to deploy and monitor production-ready machine learning solutions.
- Collaborate with product and business stakeholders to deliver impactful AI solutions while mentoring colleagues and promoting technical best practice.
Your Skills & Experience
- Strong commercial experience with transformer architectures and modern NLP techniques.
- Advanced Python and PyTorch skills, including custom model training and optimisation.
- Experience fine-tuning, evaluating and deploying large language models.
- Experience working with large-scale text datasets and real-world machine learning problems.
- Solid grounding in statistics and classical machine learning.
- Hands-on experience developing Generative AI and agentic AI solutions.
- Excellent communication skills with the ability to engage technical and non-technical stakeholders.
What They Offer
- Competitive salary and benefits package.
- Hybrid working model.
- Opportunity to work on cutting-edge AI and machine learning products.
- Strong career progression within a growing Data Science and AI function.
- Collaborative, research-driven culture with exposure to the latest advancements in machine learning.
How to Apply
To find out more about this Senior Machine Learning Scientist opportunity, please submit your application today.
To Apply for this Job Click Here
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GET IN TOUCH
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If you can’t see the data science job that you’re looking for right now, send us your CV anyway – we’re always getting fresh new roles through the door.
Industry Hub
HARNHAM
News & Blog
With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
Visit our Blogs & News portal or check out our recent posts below.
Why Fintech’s AI Talent Pool Is Smaller Than It Looks
By Luc Simpson-Kent, Business Manager – Harnham The share of US job postings requiring AI skills increased…
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By Lauren McAlister, Senior Recruitment Consultant – Harnham A big trend we’re seeing in the analytics market…
AI Driven Data – Built in the North and Midlands | How Data Engineers are Using AI to Build Better Data Pipelines
Across organisations, AI is rapidly changing how data-driven teams operate, from how insights are generated to how…
Hiring for Agentic AI in the Netherlands: What We’re Seeing
Recently, we’ve been running a few searches in the Netherlands for people with experience in agentic AI….
AI Driven Data – Built in the North and Midlands | AI in CRO and Experimentation
Across organisations, AI is rapidly changing how data-driven teams operate, from how insights are generated to how…
How Tri-State Insurers Are Using AI to Combat Rising Fraud in 2026
By Conor Larkin, Associate Vice President – Harnham Insurance fraud costs the U.S. industry over $40…
AI in Private Equity: How Talent Strategy Drives Portfolio Value Creation
by Nick Mandella, Director at Harnham. Most PE firms are investing in AI, but returns remain mixed….
How to Choose the Right AI Recruitment Agency in the US
Kyle Arriola, Harnham’s AVP of Data & AI Talent Acquisition, recently spoke with Simon Clarke, CEO of…
Why Dutch-Speaking Data & AI Talent Is So Hard to Hire
by Ross Henderson, Director at Harnham. Why it’s so hard to hire Dutch-speaking Data & AI talent…
Tech in Europe on the decline? The reality of the engineering talent market in the Netherlands tells a different story
by Ross Henderson, Director at Harnham. If you read the news, you’d be forgiven for thinking…
Testimonials
Client and
candidate
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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.
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 – 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 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 – 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
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
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 – 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.
