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 (Contract)
London
£500 - £600
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Data Scientist
London
2 Days in Office
Outside IR35
£500 – £600 Per Day
6 months long
The Company
They are a well-established media organisation with a strong presence across digital and traditional channels. The business is heavily invested in data and analytics, using insights to enhance audience experiences and support growth initiatives. They foster a collaborative environment where data science plays a key role in business strategy. You will join a team that values innovation, experimentation, and continuous learning.
The Role and Deliverables
- Build and deploy data science solutions to support audience growth, content optimisation, and commercial performance.
- Analyse large and complex datasets to identify trends, opportunities, and actionable insights.
- Develop predictive models and machine learning solutions to improve business decision-making.
- Collaborate with stakeholders across analytics, product, marketing, and commercial teams.
- Communicate findings through clear visualisations, presentations, and recommendations.
- Contribute to the development of best practices for data science and advanced analytics within the organisation.
Your Skills & Experience
- Strong experience applying statistical analysis and machine learning techniques to real-world business challenges.
- Advanced programming capability in Python and experience working with data science libraries.
- Strong SQL skills and experience working with large-scale datasets.
- Experience developing predictive models, segmentation frameworks, or recommendation systems.
- Ability to translate complex analytical findings into clear business recommendations.
- Experience using data visualisation tools to communicate insights effectively.
- Strong stakeholder management and communication skills.
- A proactive approach to problem-solving and delivering measurable business impact.
How to Apply
If you are interested in this Data Scientist opportunity and would like to learn more, please apply with your updated CV.
To Apply for this Job Click Here
Data Scientist (Contract)
London
£400 - £500
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Consumer Goods Data Scientist (Contract)
London
2 Days in Office
Outside IR35
£400 – £500 Per Day
6 months long
The Company
They are a well-established consumer goods business with a strong presence across multiple markets. The organisation is investing heavily in data and analytics to improve customer understanding, optimise commercial performance, and support strategic decision-making. You will join a collaborative team that values innovation, curiosity, and evidence-based thinking.
The Role and Deliverables
- Develop and deploy data science solutions to address customer, marketing, and commercial challenges.
- Build predictive models to support demand forecasting, customer behaviour analysis, and business planning.
- Analyse large datasets to identify trends, opportunities, and actionable insights.
- Partner with stakeholders across commercial, marketing, and analytics functions to translate business requirements into data-driven solutions.
- Present findings and recommendations to both technical and non-technical audiences.
- Support the continuous improvement of analytics methodologies, tools, and processes.
Your Skills & Experience
- Strong experience applying data science techniques within a consumer goods, retail, or customer-focused environment.
- Demonstrated capability in machine learning, statistical modelling, and predictive analytics.
- Proficiency with Python, SQL, and relevant data science libraries.
- Experience working with large and complex datasets to generate business value.
- Ability to communicate technical findings clearly to senior stakeholders.
- Experience delivering end-to-end data science projects from problem definition through to implementation.
- Strong commercial awareness and a data-driven approach to decision-making.
How to Apply
If you are interested in applying your data science expertise within a forward-thinking consumer goods environment, please submit your application for further information
To Apply for this Job Click Here
Data Scientist – FMCG, Distribution & Operations
London
£350 - £400
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Data Scientist
£400 per day | Outside IR35 | Six months | Remote, UK-based
We are working with a specialist Data Science consultancy that is looking for a Data Scientist to join a major engagement with a global FMCG business.
The role will focus on distribution and operations, using Data Science to improve areas such as logistics performance, forecasting, territory planning and operational decision-making.
This is a strong opportunity for a Data Scientist with three or more years of experience who has built solid technical foundations and is ready to take greater ownership of their work. You do not need to be the finished article, but you must be able to work independently, communicate confidently and apply Data Science to genuine business problems.
Working pattern
The role will be completed remotely from the UK. However, the end client’s main stakeholders are based on the US West Coast.
Candidates must be comfortable adjusting their working hours and remaining available until approximately 7pm UK time. This will provide at least two hours of daily overlap with the US team.
The company
The consultancy specialises in solving complex commercial problems through Data Science and advanced analytics.
You will join a small, experienced delivery team supporting an established global consumer goods business. The working environment is collaborative and fast-moving, with the opportunity to contribute to how analytical models, processes and products are developed.
The consultancy places significant value on attitude and personality. They are looking for someone who is approachable, proactive and able to build trusted relationships with technical and non-technical stakeholders.
The role
You will work across the full analytical lifecycle, including:
-
Working with stakeholders across Sales, Operations and Distribution to understand their challenges.
-
Turning loosely defined business problems into clear analytical plans.
-
Identifying, acquiring and assessing the quality of relevant data.
-
Using Python, SQL and Snowflake to explore and structure large datasets.
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Building forecasting, classification, clustering, regression and optimisation models.
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Developing repeatable analytical models and pipelines rather than one-off analyses.
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Applying experimentation and causal inference methods to measure the impact of business decisions.
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Connecting analytical outputs to measurable operational and commercial outcomes.
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Presenting findings and recommendations clearly to non-technical stakeholders.
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Managing your own work and providing proactive updates on progress, risks and dependencies.
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Using tools such as Claude Code, Cursor or GitHub Copilot within a structured development workflow.
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Contributing to daily stand-ups, planning sessions, technical discussions and peer reviews.
This is not a pure modelling position. You will be expected to understand the business problem behind the analysis and explain how your work should influence real decisions.
Your skills and experience
The successful candidate will have:
-
Three or more years of commercial Data Science or applied analytics experience.
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Strong Python skills, including pandas, scikit-learn and common Data Science libraries.
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Advanced SQL skills and experience working with large or varied datasets.
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Commercial experience using Snowflake.
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A good grounding in statistics, machine learning and model validation.
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Experience applying forecasting, classification, clustering, regression or optimisation in a business environment.
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Experience handling messy real-world data and making sensible decisions around data quality.
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Practical experience using AI-assisted development tools such as Claude Code, Cursor, GitHub Copilot or similar.
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Experience within FMCG, consumer goods, retail, logistics, distribution or supply chain.
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Strong communication and stakeholder-management skills.
-
The ability to take ownership of a problem and deliver with limited supervision.
-
A personable, positive and collaborative working style.
-
Availability to work until approximately 7pm UK time.
Desirable experience
Experience in any of the following areas would be beneficial:
-
Distribution or logistics analytics.
-
Direct Store Delivery or route-to-market operations.
-
Time-series forecasting.
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Mathematical optimisation or operations research.
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Vehicle routing or territory planning.
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Geospatial analytics.
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Google OR-Tools, Gurobi or SciPy.
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Streamlit, Shiny for Python or similar analytical applications.
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Consulting or embedded client delivery.
Contract details
-
£400 per day.
-
Outside IR35.
-
Initial six-month contract.
-
Remote working from the UK.
-
Later working hours, with availability required until approximately 7pm UK time.
-
Two-stage interview process.
How to apply
Please apply with an up-to-date CV highlighting your experience with Python, SQL, Snowflake and applied Data Science within an operational, retail, FMCG, logistics or supply-chain environment.
To Apply for this Job Click Here
Senior Data Scientist
London
£60000 - £80000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Data Scientist – Leicester or London 1 day a week
We are currently supporting a large insurance company on a Senior Data Science role to sit within their pricing team. This role will challenge core pricing functions and create innovative ways to produce new pricing models using larger and more complex data sources to deliver more competitive pricing and better customer accessibility. It’s a small, fast‑paced team (6 people) working on more experimental and forward‑thinking pricing approaches.
Some of the exciting work includes:
- Alternative pricing models
- Footprint modelling / Geospatial modelling
- Residual modelling to identify gaps between predicted vs. actual claim costs
- Working with large, messy insurance datasets across multiple product lines
- Tools & tech: Python, SQL, AzureML, XGBoost
- Opportunity to mentor within the team
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
Director of Data Science
Dallas
$245000 - $270000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Director of Quality Engineering
Location: Fully Remote – U.S.
Travel: Occasional travel to Dallas, TX, potentially once per quarter
Compensation: $245,000-$270,000 base + 20% annual bonus
Benefits: Healthcare + 401(k)
Work Authorization: U.S. Citizens and Green Card holders only – no sponsorship
Candidates cannot currently reside in California, New York, Hawaii, North Dakota, Oregon, Rhode Island, Washington, or Wyoming.
About the Company
A large, mission-driven healthcare organization is investing heavily in modern engineering, automation, AI, and customer-facing digital experiences.
Operating at significant enterprise scale, the organization is accelerating its technology strategy and building modern capabilities across software engineering, data, AI, and digital products.
As engineering velocity increases, leadership is rethinking how quality is built into the software development lifecycle. The organization is now establishing a modern, automation-first Quality Engineering function capable of supporting both traditional software and the next generation of AI-enabled products.
About the Role
The Director of Quality Engineering will lead the transformation of an established, predominantly manual QA environment into a modern, automation-first Quality Engineering organization.
This is a true build opportunity.
Today, an existing QA team supports approximately 25 development teams, but there is no dedicated SDET function. The incoming Director will own the existing QA organization while building the technical capabilities, automation frameworks, SDET talent, standards, tooling, and operating model required for the future.
The immediate priority is establishing scalable deterministic automation across API, UI, integration, regression, performance, accessibility, and end-to-end testing while embedding quality directly into CI/CD and engineering workflows.
Longer term, the organization has an ambitious vision for AI-enabled and agentic testing-moving toward intelligent systems capable of generating tests, identifying defects, selecting regression coverage, and eventually executing increasingly complex testing workflows based on intent.
The successful candidate will be a builder who has transformed Quality Engineering before and is excited by the opportunity to create the strategy rather than inherit one.
Key Responsibilities
- Define and execute the enterprise Quality Engineering strategy
- Lead the transformation from manual-heavy QA toward an automation-first engineering model
- Build a multi-year roadmap across automation, tooling, talent, metrics, and operating model modernization
- Establish and scale a dedicated SDET and test automation capability
- Lead the existing QA organization through its transition toward a more technical, automation-oriented model
- Design scalable automation frameworks across API, UI, integration, regression, performance, accessibility, and end-to-end testing
- Embed automated testing into CI/CD pipelines, development workflows, and release gates
- Establish shift-left testing practices and reduce reliance on late-stage manual validation
- Define enterprise standards for quality gates, release readiness, regression testing, defect triage, and production validation
- Establish meaningful metrics around automation coverage, defect leakage, test effectiveness, release predictability, and production stability
- Introduce AI-enabled approaches to test generation, maintenance, defect analysis, regression selection, and synthetic data
- Partner with Engineering, Product, Architecture, Security, Data, AI, and Operations teams
- Establish evaluation and quality practices for AI-enabled and agentic systems
- Support validation of AI behavior, guardrails, traceability, safety, errors, fallback behavior, and human-in-the-loop workflows
- Build, coach, and develop technical Quality Engineering talent
Must Haves
- 15+ years of experience across Quality Engineering, software quality, test automation, Software Engineering, or related technology delivery
- 7+ years of Quality Engineering, SDET, automation, QA, or engineering leadership
- Proven experience transforming manual QA environments into automation-first Quality Engineering organizations
- Experience building or substantially scaling test automation capabilities
- Experience leading technical Quality Engineering, SDET, or engineering-adjacent teams
- Deep understanding of modern test automation architecture and frameworks
- Strong experience across API, UI, integration, regression, performance, and end-to-end testing
- Experience embedding automated testing into CI/CD pipelines and release gates
- Strong understanding of shift-left testing and engineering-owned quality
- Experience defining quality gates, release-readiness standards, automation metrics, and testing strategy
- Strong understanding of modern software engineering, Agile, CI/CD, and DevSecOps
- Experience leading significant technical and organizational transformation
- Ability to influence Engineering, Product, Architecture, Security, Operations, and executive stakeholders
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or another related technical discipline
AI & Next-Generation Quality Engineering
The strongest candidates will bring a point of view on where Quality Engineering is heading-not simply how testing has traditionally been done.
Experience or strong technical exposure in areas such as the following will stand out:
- AI-assisted test generation and maintenance
- Intelligent regression selection
- AI-assisted defect analysis
- Synthetic test data
- AI evaluation frameworks
- GenAI and conversational-system testing
- Expected-behavior and guardrail validation
- Hallucination and error detection
- Human-in-the-loop validation
- Agentic or intent-based testing
- Automated monitoring and feedback loops for AI systems
The longer-term objective is not simply to automate manual test cases. It is to create a Quality Engineering capability capable of supporting increasingly intelligent and autonomous software systems.
Nice to Have
- Playwright, Maestro, or comparable modern automation frameworks
- Experience building an SDET organization from the ground up
- Experience transforming an established manual QA workforce
- AI, GenAI, machine learning, or agentic-system testing experience
- Experience with customer-facing or mission-critical digital products
- Healthcare or health technology experience
- Financial services, life sciences, or another regulated/high-trust industry
- Experience managing vendor, partner, or distributed QA resources
- Master’s degree in a relevant technical discipline
Healthcare experience is valuable but is not the primary requirement for this search. Deep automation expertise and experience building technical Quality Engineering capabilities are significantly more important.
Why Join
- Build an enterprise Quality Engineering capability from a near-blank slate
- Define the automation strategy, frameworks, tooling, standards, and operating model
- Establish a dedicated SDET capability
- Transform an established manual QA environment rather than simply optimize an already mature automation program
- Own both the technical strategy and organizational evolution
- Build automation directly into modern engineering and CI/CD workflows
- Help define how Quality Engineering evolves for GenAI and agentic systems
- Work toward an ambitious longer-term vision for intent-based and agentic testing
- Partner directly with senior Engineering, Product, Architecture, Data, and AI leaders
- Work on customer-facing technology where quality and reliability have meaningful real-world impact
- Fully remote with limited travel to Dallas, TX
To Apply for this Job Click Here
LLM Engineer
London
£500 - £600
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
LLM Engineer
Remote (UK) | Outside IR35 | £500-£600 per day
This is an opportunity to join a high-impact AI programme focused on developing production-grade Large Language Model solutions. You will play a key role in designing and delivering cutting-edge generative AI applications, working on projects that have a direct impact on business operations and customer experience.
The Company
They are a technology-driven organisation investing heavily in artificial intelligence and machine learning. Their teams are focused on building innovative products and services that leverage the latest advancements in generative AI. Operating within a collaborative and agile environment, they are looking for an experienced contractor to accelerate the delivery of key AI initiatives.
The Role and Deliverables
- Design, develop, and deploy LLM-powered applications for production environments.
- Build and optimise Retrieval-Augmented Generation (RAG) pipelines and supporting infrastructure.
- Integrate LLM solutions with vector databases, APIs, and cloud-based services.
- Evaluate, monitor, and improve model performance through testing and optimisation.
- Collaborate with data scientists, engineers, and business stakeholders to deliver scalable AI solutions.
- Produce technical documentation and best practice guidance to support ongoing development.
Your Skills & Experience
- Strong experience building and deploying Large Language Model applications.
- Strong Python development skills and experience with frameworks such as LangChain, LlamaIndex, or similar.
- Experience implementing RAG architectures and working with vector databases.
- Strong understanding of prompt engineering, model evaluation, and AI application optimisation.
- Experience deploying solutions within AWS, Azure, or GCP environments.
- Familiarity with MLOps practices, CI/CD pipelines, and software engineering best practices.
- Ability to work independently and communicate effectively with both technical and non-technical stakeholders.
How to Apply
If you are an experienced LLM Engineer looking for a 6-month contract opportunity, apply with your latest CV for immediate consideration.
To Apply for this Job Click Here
Contract Credit Risk Modeller
London
£500 - £640
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Contract Credit Risk Modeller
- £560-£640 per day
- Inside IR35
- Fully remote
- Three-month contract
The company
Harnham is partnering with a leading financial data and analytics organisation to recruit a hands-on Credit Risk Modeller for an initial three-month engagement.
You will join its UK Product Analytics and Innovation team, supporting the rapid development of a new credit-risk product.
The role
You will independently build a point-of-application credit risk scorecard from raw data through to a validated, production-ready MVP.
Your responsibilities will include:
- Ingesting, joining and cleaning complex customer and credit datasets
- Constructing development samples and defining observation and performance windows
- Establishing appropriate good/bad definitions
- Engineering characteristics and treating missing and special values
- Performing monotonic binning, Weight of Evidence and Information Value analysis
- Developing an interpretable logistic-regression scorecard
- Completing feature selection, model tuning and points-based score scaling
- Validating the model using measures such as Gini, KS, AUC, PSI and out-of-time testing
- Producing clear technical documentation and supporting production implementation
Your skills and experience
The successful candidate will have:
- Personally built and deployed at least two end-to-end consumer or commercial credit scorecards
- Advanced hands-on Python experience within credit-risk modelling
- Strong SQL skills and the ability to prepare complex modelling datasets independently
- Practical experience with WoE, IV, binning, logistic regression and score scaling
- Experience defining modelling samples, performance windows and credit outcomes
- A track record of implementing scorecards within lending, underwriting, collections or credit decisioning
- The ability to write custom transformations and debug Python logic independently
- Experience delivering models within regulated financial-services environments
- Availability to begin immediately or at short notice
Experience with credit-bureau, SME, commercial, Companies House or Open Banking data would be beneficial. GCP and BigQuery experience is also desirable, although other cloud platforms will be considered.
Candidates should be prepared to discuss a previous scorecard build in granular detail during the interview, including feature choices, binning decisions, model trade-offs, validation results and their individual coding contribution.
To Apply for this Job Click Here
Client facing data scientist
€60000 - €70000
+ Data Science & AI
PermanentNederland
To Apply for this Job Click Here
Client-Facing Data Scientist
Eindhoven, Netherlands (hybrid, 2 days per week on-site)
Competitive salary depending on experience
This is a rare opportunity to step into a genuinely client-facing data science role where communication, consulting mindset and applied analytics carry equal weight. You will work at the heart of complex marketing and media challenges, helping clients make better decisions through advanced data science while shaping how analytics is delivered at scale.
The Company
They are a global media and marketing organisation operating across multiple international markets, delivering integrated, data-driven solutions for well-known brands. With a strong focus on AI, analytics and privacy-first data usage, they invest heavily in modern platforms and advanced measurement capabilities. The culture blends technical excellence with commercial thinking and close collaboration across disciplines.
The Role
- Act as a trusted data science partner for clients, advising on measurement, methodology and analytics strategy
- Translate complex analytical outputs into clear, actionable insights for non-technical stakeholders
- Design and deliver marketing analytics solutions such as marketing mix modelling, attribution and lift studies
- Build and analyse experiments including media, creative and website A B testing
- Develop segmentation and clustering models to support audience and targeting strategies
- Collaborate closely with internal media, product and analytics teams to deliver client-ready outputs
Your Skills and Experience
- Strong commercial experience in data science with a clear focus on applied analytics
- Proven ability to work directly with clients or senior stakeholders in a consultative capacity
- Solid grounding in statistical modelling, experimentation and data analysis
- Experience explaining technical concepts clearly to non-technical audiences
- Exposure to marketing analytics, media measurement or similar domains is beneficial
- Fluent Dutch is essential due to the client base
What They Offer
- Competitive salary aligned to experience and seniority
- A hybrid working model with mandatory on-site collaboration in Eindhoven and flexibility elsewhere
- Exposure to high-impact client projects across marketing, media and advanced analytics
- Clear opportunities to grow your consulting influence and technical depth within a specialist data science team
How to Apply
If you are looking for a client-facing data science role where your insight and communication skills will truly matter, apply now to learn more.
To Apply for this Job Click Here
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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.
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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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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.
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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.
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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.
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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.
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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.
