FIND YOUR NEXT DATA SCIENCE JOB
We help the best talent in the Data Science market find rewarding careers.
Harnham is the best company for data science jobs because we are a global leader in data science recruitment.
Our extensive network of data science employers, and clients, ensuring you find the perfect match for your skills.
We offer a range of data science jobs from entry-level to director-level and have an experienced team of recruiters who will help match you with the right employer.
Also, we provide excellent resources and advice for data science job seekers, helping you prepare for interviews, negotiate salaries, and more.
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We pride ourselves on keeping our pulse on trends across the Data Science industry.
Our dedicated Data Science consultants have immersed themselves fully in the market and are able to provide industry-leading advice. Whether you’re looking for your next Data Science Job, or to find a Data Scientist for your team, Harnham has a wealth of knowledge and will help you make the process as efficient as possible.
We pride ourselves on keeping our pulse on trends in the industry and offer educational programmes to help keep our candidate’s skills sharp.
WHAT SETS
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We place considerable emphasis on getting to know you, your motivations and your skills.
We do this to ensure we only introduce you to companies that suit you. By taking the time to listen to and explore our clients’ briefs, we soon know whether candidates fit their culture or not.
As a genuine specialist in Data Science recruitment, we have developed long-standing partnerships within the marketplace. These relationships allow us to provide our candidates with access to the best opportunities in the sector.
If you are looking for that next Data Science job and career step, let us help you find it.
As working from home becomes ever more common, you can now search Remote Data Science Jobs.
JOBS
LATEST DATA
SCIENCE JOBS
Harnham are a specialist Data Science recruitment business, specializing in finding you your next data science job!
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
Data Scientist
London
£500 - £560
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Contract Data Scientist
London | Outside IR35 £500-560 per day| 2-months
This is an opportunity to join a specialist analytics consultancy on a high-impact insurance analytics project. You’ll play a key role in developing predictive models and customer segmentation frameworks that directly support commercial decision-making, working with rich first-party customer and transactional data from day one.
The Company
They are a specialist analytics consultancy that delivers advanced data science and predictive modelling solutions for enterprise clients. Their technology is deployed within client environments, helping organisations understand customer behaviour, forecast future outcomes, and identify opportunities for growth. They combine data science, analytics, and commercial insight to solve complex business challenges across customer-focused industries.
The Role and Deliverables
- Build customer segmentation and clustering models to identify meaningful customer groups.
- Develop propensity models and predictive analytics solutions to support business decision-making.
- Forecast customer behaviour and future customer value using advanced modelling techniques.
- Analyse motor and home insurance customer journeys, quote behaviour, and conversion patterns.
- Design a core segmentation framework with multiple supporting sub-segmentations.
- Package and document models for deployment and handover to engineering teams.
Your Skills & Experience
- Strong experience delivering customer segmentation and clustering projects using unsupervised learning techniques.
- Demonstrated capability in propensity modelling, predictive modelling, and forecasting.
- Strong Python and SQL skills for data preparation, analysis, and model development.
- Experience working within Databricks and/or Microsoft Fabric environments.
- Comfortable developing solutions in notebook-based analytics environments.
- Experience within insurance, customer analytics, pricing analytics, retention, acquisition, churn modelling, customer lifetime value, or quote conversion analysis.
- Ability to work autonomously and quickly contribute within a fast-paced contract engagement.
How to Apply
If you have strong experience in customer analytics, predictive modelling, and insurance data science, apply today to discuss this contract opportunity in more detail.
To Apply for this Job Click Here
Senior Data Scientist – Consulting
London
£75000 - £85000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Data Scientist
London | £75,000 – £85,000
This is an excellent opportunity for a Senior Data Scientist to join a growing technology business at a key stage of its journey. You’ll work on high-impact machine learning projects, help shape analytical best practice, and see your work directly influence product development and client outcomes.
The Company
They are a data-driven SaaS business that helps organisations make better commercial decisions through advanced analytics and machine learning. Their products support businesses across a variety of consumer-focused sectors, transforming complex datasets into practical insights. With an expanding client base and ambitious growth plans, they are continuing to invest in their Data Science capability and product innovation.
The Role
- Build and deploy machine learning models across forecasting, customer segmentation, and propensity modelling
- Own projects across the full model lifecycle, from data exploration and feature engineering through to deployment and monitoring
- Partner with Product, Engineering, and commercial teams to deliver scalable analytical solutions
- Translate complex findings into clear, actionable recommendations for stakeholders
- Support the development of data science standards, validation frameworks, and best practices
- Mentor junior team members and contribute to a collaborative data science culture
Your Skills & Experience
- Strong commercial experience in Data Science and Machine Learning
- Advanced Python and SQL skills with experience building production-ready models
- Expertise across forecasting, predictive modelling, customer segmentation, and classification techniques
- Experience working with AI-assisted development tools such as GitHub Copilot, Claude, Codex, or similar to improve productivity and code quality
- Understanding of LLM applications, prompt engineering, and practical AI use cases within analytics workflows
- Excellent stakeholder management skills with the ability to translate technical outputs into clear business recommendations
How to Apply
If you’re interested in this Senior Data Scientist opportunity, please apply with your CV for immediate consideration.
To Apply for this Job Click Here
Quantitative Analyst
London
£100000 - £115000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Quantitative Analyst
A rare opportunity to join a research-led quantitative risk team within a leading investment environment. This role offers exposure to complex modelling challenges, significant stakeholder engagement, and the opportunity to influence model governance across the business.
The Company
They are a well-established investment organisation with a strong quantitative culture. Their independent risk function plays a key role in model validation, quantitative research, and risk oversight across a broad range of investment activities.
The Role
- Validate and challenge quantitative models across the business
- Conduct research into model performance, assumptions, and limitations
- Produce model validation reports and recommendations
- Present findings to senior stakeholders and governance committees
- Support the enhancement of risk models and analytical tools
- Develop automation and tooling to improve risk processes
Your Skills & Experience
- Strong Python programming skills
- Commercial experience in quantitative modelling, quant research, model validation, or risk
- Excellent mathematical and analytical capability
- Experience assessing, building, or challenging models
- Confident communicator with strong stakeholder management skills
- STEM degree in a quantitative discipline
To Apply for this Job Click Here
Contract Data Scientist
London
£500 - £560
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
The Opportunity
We’re supporting a specialist data and analytics company that develops and licenses a proprietary customer intelligence platform used by enterprise clients. Their platform sits within client environments and leverages first-party customer data, transactions and behavioural events to identify where value is created, forecast future outcomes and drive customer growth through advanced analytics.
They are looking for an experienced Contract Data Scientist to join a critical insurance-focused project and take ownership of model development from day one.
The Project
Working within the insurance sector, you’ll build scalable customer analytics solutions focused on:
- Customer segmentation and clustering
- Propensity modelling
- Forecasting models
- Insurance customer behaviour analysis
- Large-scale model development and delivery
A key deliverable will be the creation of a primary customer segmentation framework, including multiple sub-segmentations, alongside propensity models that support commercial decision-making.
The project specifically focuses on motor and home insurance quote behaviour, so experience understanding insurance products, quote journeys and customer purchasing behaviour is essential.
What You’ll Be Doing
- Developing customer segmentation and clustering models
- Building propensity and predictive models
- Creating forecasting solutions using customer and transactional data
- Working within notebook-based analytics environments
- Packaging models for deployment and handing over to engineering teams
- Collaborating closely with Product, Data Science and Engineering leadership
Essential Skills
- Strong commercial Data Science experience
- Proven background delivering segmentation and clustering projects
- Hands-on propensity modelling experience
- Advanced Python
- Experience working in Databricks and/or Microsoft Fabric
- Experience developing models within notebook environments
- Ability to quickly understand business problems and deliver at pace
- Insurance sector experience
Highly Desirable
- Experience within motor or home insurance
- Understanding of insurance quote journeys and buying behaviour
- Experience delivering customer analytics projects using first-party customer data
- Previous contractor experience in fast-paced delivery environments
To Apply for this Job Click Here
Data Scientist (Contract)
London
£400 - £480
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Contract Data Scientist, Search & Sort Order
Remote
Outside IR35
£400 – £480 Per Day
3 Month Duration
The Company
They are a well-established consumer marketplace business with a large and diverse inventory of products available across multiple markets. Data and experimentation play a central role in their decision-making, with a strong focus on delivering exceptional user experiences through intelligent search and recommendation capabilities. You will join a collaborative environment where data science has a direct influence on commercial outcomes and customer engagement.
The Role and Deliverables
- Improve search ranking and recommendation performance across a large-scale digital platform.
- Design, build, and evaluate new search and sort order methodologies to optimise relevance and customer engagement.
- Develop and apply learning-to-rank and machine learning approaches to improve search outcomes.
- Run A/B tests, analyse results, and measure performance against key business metrics including conversion, click-through rate, and revenue impact.
- Build dashboards and reporting tools to communicate experiment outcomes and recommendations to stakeholders.
- Deploy machine learning solutions into production environments and support ongoing optimisation.
Your Skills & Experience
- Strong experience using Python and SQL for data science and analytics.
- Experience working with Snowflake and AWS within production environments.
- Proven capability in search ranking, recommendation systems, or relevance optimisation.
- Strong understanding of experimentation frameworks, A/B testing, and statistical analysis.
- Experience measuring and reporting on KPIs including conversion, customer engagement, and commercial performance.
- Capability to deploy and maintain machine learning solutions in production.
- Experience with learning-to-rank methodologies is highly desirable.
- Exposure to tools and techniques such as Metaflow, XGBoost, PyMC, Streamlit, propensity modelling, or optimisation methods would be beneficial.
- Experience within digital marketplaces, travel platforms, e-commerce, classifieds, or consumer-facing search environments is advantageous.
How to Apply
If you’re a Data Scientist with expertise in search ranking, recommendation systems, experimentation, and production machine learning, we’d be keen to hear from you. Apply today to discuss this contract opportunity in more detail.
To Apply for this Job Click Here
VP Data & AI Transformation
London
£160000 - £180000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
VP Data & AI Transformation
London | £160,000 – £180,000
This is a rare opportunity for an experienced data leader to shape the future of a business that is investing heavily in data, AI, and technology. As a newly created executive-level position, you’ll play a pivotal role in building a unified enterprise data function, driving AI adoption, and ensuring data becomes a core driver of growth, customer understanding, and business performance.
The Company
This established technology business operates at the intersection of data, analytics, and digital innovation, helping organisations make smarter commercial decisions through data-driven insights.
They are looking for a senior leader to bring together multiple teams under a unified strategy, driving greater value from data across the organisation and accelerating AI adoption at scale.
The Role
As VP, you will sit at the heart of the organisation’s data and AI journey, partnering closely with executive stakeholders to drive business impact.
Responsibilities include:
- Define and deliver the enterprise data, architecture, and AI strategy
- Create a 360-degree customer view to drive commercial and operational decision-making
- Lead Data Engineering, Analytics, Architecture, IT, and AI functions under a unified vision
- Drive AI adoption, automation, and enterprise-wide data capabilities
- Establish best practices across data governance, reporting, and systems architecture
- Partner with senior leadership to deliver initiatives across growth, product, pricing, and efficiency
- Build and lead high-performing teams while driving organisational change
Your Skills & Experience
- Leadership experience within Data, Analytics, Architecture, or Technology functions
- Proven success leading multiple technical teams and disciplines
- Strong track record delivering enterprise data strategies and transformation programmes
- Experience leveraging AI and data to drive measurable business outcomes
- Strong stakeholder management skills with executive-level influence
- Expertise in modern data platforms, governance, and analytics ecosystems
- Commercial mindset with the ability to translate technical strategy into business value
- Demonstrated success building trust, scaling teams, and leading through change
How to Apply
If you’re an experienced data leader looking to build a market-leading enterprise data capability and drive meaningful business transformation through data and AI, please apply today. 
To Apply for this Job Click Here
Senior Data Scientist – Pricing
London
£60000 - £75000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Data Scientist – Pricing
London / Leicester | £60,000 – £75,000
This is an exciting opportunity for a Senior Data Scientist to join a highly advanced analytics function focused on pricing innovation. You’ll work on developing cutting-edge machine learning models, leveraging new technologies and data sources to influence commercial strategy and deliver tangible business impact.
The Company
They are a data-driven organisation that has invested heavily in its analytics and pricing capabilities. Their Data Science team sits at the heart of strategic decision-making, helping to improve risk assessment, customer outcomes, and commercial performance. Working within a collaborative environment, you’ll partner with experts across analytics, engineering, and business functions to drive innovation and challenge conventional approaches.
The Role
You will:
- Develop and deploy machine learning models that support pricing and risk management strategies.
- Build predictive models focused on claims outcomes, fraud detection, and key business performance metrics.
- Create and maintain analytical tools used to manage and optimise risk portfolios.
- Identify, assess, and utilise new data sources to improve model performance and business outcomes.
- Engineer new predictive features that can be incorporated into pricing algorithms.
- Take ownership of projects across the full machine learning lifecycle, from exploratory analysis through to deployment and monitoring.
- Collaborate with Data Scientists, Data Engineers, Analysts, and business stakeholders to deliver commercial value.
- Explore emerging machine learning techniques and assess their practical application within the business.
Your Skills & Experience
- Strong commercial experience delivering end-to-end machine learning projects.
- Excellent Python and SQL skills.
- Experience with Azure Machine Learning, Azure Cloud Services, and Git.
- Strong understanding of model deployment, monitoring, evaluation, and optimisation.
- Ability to translate complex business problems into scalable analytical solutions.
- Experience engaging with a range of stakeholders to define requirements and drive successful outcomes.
- Strong communication skills and a collaborative approach to problem-solving.
- Passion for applying advanced analytics and machine learning to real-world business challenges.
How to Apply
To find out more about this opportunity, please apply with your CV and we’ll be in touch to discuss the role in more detail.
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 (Hybrid) | Up to £55,000
Looking to apply advanced analytics and machine learning in a role where your work directly influences business decisions? This is an opportunity to join a well-established consumer-focused organisation investing heavily in its data capabilities. You’ll work on a broad range of projects, turning complex datasets into actionable insights and delivering measurable commercial impact.
The Company
They are a recognised organisation with a large customer base and a growing commitment to data-driven decision making. Their analytics and technology teams play a key role in shaping strategy, improving customer outcomes, and driving operational performance. With continued investment in AI, machine learning, and cloud technologies, they offer an environment where innovation and collaboration are actively encouraged.
The Role
You will be responsible for:
- Collecting, cleaning, and preparing data from multiple sources to ensure quality and accuracy.
- Applying statistical analysis and machine learning techniques to solve business challenges.
- Building, deploying, and maintaining predictive models that deliver tangible value.
- Developing and enhancing AI and machine learning solutions using modern cloud-based tools.
- Creating dashboards and visualisations that communicate insights clearly to stakeholders.
- Working closely with analysts, engineers, and business teams to deliver data science projects.
- Identifying trends, opportunities, and risks through advanced analytics.
- Keeping up to date with the latest developments in data science, AI, and machine learning.
Your Skills & Experience
- Strong commercial experience delivering data science solutions.
- Excellent Python or R programming skills.
- Strong SQL capabilities for data extraction and analysis.
- Experience with forecasting, statistical modelling, and machine learning techniques.
- Knowledge of the full data science lifecycle from model development through to deployment and monitoring.
- Experience working with cloud platforms such as Azure, AWS, or GCP.
- Ability to communicate technical findings to both technical and non-technical stakeholders.
- Passion for using data to solve real-world business problems.
How to Apply
To find out more about this opportunity, please apply with your CV and we’ll be in touch to discuss the role in more detail.
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
Product Owner – Knowledge Graphs
Amsterdam
€60000 - €75000
+ Data Science & AI
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
Product Owner, Knowledge Graphs
Amsterdam (Hybrid) | €70,000 – 75,000 + Benefits
Are you passionate about turning complex legal knowledge into intelligent, scalable digital products?
This is an opportunity to join a forward-thinking organisation at the intersection of LegalTech, Data, and AI, where you will shape the roadmap for a knowledge graph platform that supports legal professionals in making faster, better-informed decisions.
The Company
They are a well-established professional services organisation investing heavily in data and AI-driven innovation. Their teams work on complex information challenges, developing products that transform how knowledge is captured, connected, and consumed.
With a strong focus on emerging technologies, they are building advanced knowledge management capabilities that enable better search, discovery, and insight generation. This role sits within a growing product function with significant visibility and impact across the business.
The Role
As Product Owner, you will lead the development and evolution of a knowledge graph platform designed to connect legal data, documents, expertise, and processes.
Key responsibilities include:
- Own and prioritise the product backlog for knowledge graph and semantic data initiatives
- Translate business and user needs into clear product requirements and user stories
- Work closely with data engineers, knowledge engineers, software developers, and legal subject matter experts
- Define and communicate product vision, roadmap, and delivery priorities
- Drive adoption of graph technologies to improve search, discovery, and knowledge management capabilities
- Balance stakeholder requirements with technical feasibility and strategic objectives
- Monitor product performance and user feedback to inform future enhancements
- Support the delivery of AI and data products that leverage structured knowledge assets
Your Skills & Experience
- Strong commercial experience as a Product Owner, Product Manager, or similar product leadership role
- Experience delivering data, AI, analytics, or knowledge management products
- Understanding of knowledge graphs, semantic technologies, ontology management, or graph databases such as Neo4j
- Ability to engage effectively with both technical and non-technical stakeholders
- Experience gathering requirements and translating them into actionable product roadmaps
- Strong prioritisation and decision-making capabilities
- Familiarity with Agile delivery methodologies and product development best practices
- Interest in LegalTech, professional services, enterprise knowledge management, or information retrieval
What They Offer
- Salary of €70,000 – 75,000 depending on experience
- Performance-related bonus
- Comprehensive benefits package
- Hybrid working model based in Amsterdam
- Exposure to cutting-edge AI, data, and knowledge graph technologies
- Clear career progression within a growing product and innovation function
- Opportunity to influence the direction of a business-critical platform
How to Apply
If you are a Product Owner with experience in knowledge graphs, semantic technologies, or data-driven products and are looking to make a meaningful impact within an innovative legal environment, apply today to learn more.
To Apply for this Job Click Here
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Client – Director of Customer Data Science – Apparel
The team at Harnham have been outstanding in helping our company build a market-leading data science team. Harnham’s communication is great, and the recruiter’s take a consultative approach that’s really focused on provided value for both their clients and their candidates. They provide strong candidates that help us fill our roles with high achievers who are also a great fit for our culture.
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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.
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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.
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I have worked with Harnham for over 2 years now as our main Analytics Recruiter partner and I am very pleased with the overall service and the people we have hired via Harnham. Harnham’s team is very good at understanding our recruitment needs and always come back with relevant and well scanned CVs, which saves me precious time.
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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!
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I’ve had a great experience with Harnham. The recruiter provided great advice and ensured that I understood everything, and even followed up with me after I started my new role to see how I was settling in. I would recommend Harnham as a great recruitment company for anyone looking for a role in data and analytics.
