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!
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 GTM Data Science
New York
$210000 - $230000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Director of GTM Data Science
Overview
A growing technology organisation is seeking a senior data leader to define and execute the strategy for Go-To-Market analytics and data science. Reporting into the head of data, this role will lead a team of analysts and data scientists while partnering closely with executive stakeholders across revenue-generating functions.
The successful candidate will be responsible for establishing data-driven decision-making frameworks, governing key business metrics, driving predictive modelling initiatives, and enabling sustainable growth through advanced analytics and experimentation.
Key Responsibilities
Strategic Leadership & Data Strategy
- Partner with senior leaders across sales, marketing, revenue operations, customer success, and finance to align analytics priorities with business growth objectives.
- Develop and own a multi-year GTM analytics and data science roadmap focused on acquisition, retention, expansion, and operational effectiveness.
- Establish governance standards and definitions for critical business metrics, including customer acquisition, customer value, conversion performance, retention, and funnel analytics.
- Translate complex business questions into structured analytical initiatives and prioritise work based on strategic impact and return on investment.
- Influence organisational decision-making through data-driven insights and recommendations.
Data Science & Advanced Analytics
- Provide technical leadership for predictive and statistical modelling initiatives, including:
- Customer lifetime value modelling
- Lead and prospect scoring
- Attribution analysis
- Marketing effectiveness measurement
- Sales prioritisation and propensity modelling
- Guide experimentation programmes using A/B testing, causal inference, and advanced analytical methodologies.
- Partner with operational and technology teams to improve data quality, instrumentation, and measurement capabilities.
- Promote adoption of AI-enabled workflows and modern analytical tools to enhance team productivity and innovation.
- Ensure statistical rigour and best practices through technical reviews, mentorship, and coaching.
Team Leadership & Organisational Impact
- Lead, mentor, and develop a team of analytics and data science professionals.
- Foster a culture of accountability, continuous learning, collaboration, and technical excellence.
- Drive organisational transformation by improving analytical maturity and strengthening cross-functional partnerships.
- Help establish scalable processes, operating models, and frameworks that support business growth and data-driven decision making.
Required Qualifications
- 7+ years of experience in data science, business analytics, revenue analytics, or a related field.
- 3+ years of experience managing and developing analytics or data science teams.
- Strong expertise in B2B SaaS, subscription-based businesses, revenue operations, sales analytics, or marketing analytics.
- Demonstrated success influencing senior executives and business leaders through data-driven recommendations.
- Ability to evaluate and guide advanced analytical approaches, modelling assumptions, and technical implementations.
- Strong proficiency in SQL and the ability to review and assess Python-based analytical solutions.
- Deep knowledge of:
- Machine learning and predictive modelling
- Experimental design and A/B testing
- Statistical analysis
- Causal inference methodologies
- Excellent communication, stakeholder management, and strategic influencing skills.
- Proven ability to thrive in fast-paced, evolving environments with ambiguity and changing priorities.
Preferred Qualifications
- Experience with modern cloud data andanalytics platforms such as:
- Snowflake
- Databricks
- dbt
- Airflow
- Experience implementing measurement frameworks and improving data instrumentation.
- Familiarity with AI-assisted analytics, development tools, and workflow optimisation.
To Apply for this Job Click Here
Director of Data Science
$304242.5 - $425939.5
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Director, Data Science (Customer Experience)
Remote, US | Base to $300,000 + 20% bonus | Occasional Dallas travel
A large not-for-profit health system is hiring a Director of Data Science to lead an established seven-person AI/ML team.
The mandate is simple to state and hard to do: fix the customer experience outside the hospital room. Healthcare gets the inpatient experience broadly right and the outpatient journey broadly wrong. This team exists to close that gap, and leadership has put real budget and real visibility behind it.
This is not reporting work. It is applied machine learning against genuine customer pain points, at the scale of 55+ hospitals, 1,300+ care sites and 13.5M+ patient encounters a year.
What you’ll own
- The enterprise data science roadmap across customer, clinical and operational priorities
- Predictive, prescriptive and optimisation models: forecasting, segmentation, personalisation, recommendation
- Semantic data products that let chat and AI interfaces query for insight conversationally, rather than returning static output
- The unstructured side of the problem. Survey free-text, centre transcripts and voice-of-customer data hold the highest-value signal here, and turning that into something patients actually feel is the core of the job
- Standards for model validation, deployment, monitoring and lifecycle
- The team itself: structure, coaching, hiring, operating rhythm
What we’re looking for
- 12+ years in data science, machine learning or advanced analytics
- 5+ years directly leading a data science or ML team
- Models in production that changed a business, customer or clinical decision, with numbers attached
- Hands-on with unstructured and text data, not just structured tables
- Strong Python and SQL, modern cloud analytical environments
- Exposure to semantic layers, knowledge products or conversational interfaces over analytical data is a strong plus
- Healthcare experience is welcome but genuinely not required. Retail, banking, travel and consumer tech backgrounds map well, provided you can ramp fast on clinical context
Worth being straight about
This organisation cannot match Big Tech on compensation and does not pretend to. The base tops out at $300,000 with a 20% bonus, and there is no flex above it. What it offers instead is scope, ownership, a green field, and work that matters to three million people.
If comp is the only variable that moves you, this will not be the right seat.
Location
Fully remote within the US, with travel to Dallas roughly once a quarter. Unable to hire from California, New York, Washington, Oregon, Hawaii, North Dakota, Rhode Island or Wyoming.
To Apply for this Job Click Here
MLOps Engineer
London
£75000 - £85000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior MLOps Engineer
London (Hybrid) | £75,000 – £85,000 + Bonus + Benefits
This is an opportunity to take ownership of the infrastructure powering a growing AI platform. You’ll work across machine learning, NLP, and emerging AI technologies, helping build scalable systems that support real-world impact.
The Company
A growing AI and data consultancy helping organisations use data and machine learning to improve decision-making and deliver better outcomes. They are investing heavily in their AI platform and expanding their engineering capability.
The Role
- Own and develop the MLOps infrastructure supporting AI services.
- Build and maintain orchestration pipelines using Dagster, Airflow, or Prefect.
- Deploy and manage ML workloads on Kubernetes and cloud platforms.
- Implement CI/CD, observability, and monitoring across production systems.
- Develop infrastructure using Terraform, Bicep, or similar IaC tools.
- Work closely with Data Scientists, ML Engineers, and AI teams to scale deployments.
Your Skills & Experience
- Strong Python software engineering skills.
- Commercial MLOps experience in production environments.
- Hands-on Kubernetes expertise.
- Experience with workflow orchestration platforms.
- Infrastructure as Code and CI/CD experience.
- Understanding of production ML, NLP, or AI systems.
To Apply for this Job Click Here
Head of Data Science
London
£800 - £900
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Head of Data Science Contract Role
Location: London
Day Rate: £850 per day Outside IR35
Working Pattern: Hybrid, 3 days per week onsite in London
This is a unique opportunity to lead a high-impact data science transformation within the pharmaceutical industry. You will be responsible for shaping enterprise-wide data science capabilities, driving the adoption of advanced analytics and AI, and enabling better research, development, and commercial outcomes through data-driven decision making.
The Company
They are a global pharmaceutical organisation investing heavily in data, analytics, and artificial intelligence to accelerate innovation across the healthcare lifecycle. Data science is a strategic priority, supporting activities across research, clinical development, medical affairs, and commercial functions. As they continue to scale their data capabilities, they are seeking a Head of Data Science to provide leadership, direction, and technical expertise across the organisation.
The Role and Deliverables
- Define and execute the organisation’s data science strategy, ensuring alignment with business and scientific objectives.
- Lead the delivery of machine learning, predictive analytics, and AI initiatives across pharmaceutical and commercial use cases.
- Build strong relationships with senior stakeholders across data, technology, scientific, and business functions.
- Establish best practices for model development, governance, deployment, and performance monitoring.
- Drive the adoption of scalable data science solutions that improve decision making and operational effectiveness.
- Mentor and develop data science teams while fostering a culture of innovation and continuous improvement.
Your Skills & Experience
- Strong experience leading data science functions within pharmaceutical, biotechnology, healthcare, or life sciences environments.
- Deep expertise in machine learning, statistical modelling, and advanced analytics.
- Strong Python skills and experience working with modern data science and cloud platforms.
- Proven ability to translate complex scientific and business challenges into actionable data science solutions.
- Experience influencing senior stakeholders and operating at executive level.
- Strong understanding of MLOps, model governance, and deploying machine learning solutions into production.
- Excellent communication skills with the ability to engage both technical and non-technical audiences.
How to Apply
If you are a Data Science Leader or Head of Data Science looking to shape the future of analytics and AI within a leading pharmaceutical organisation, apply today to learn more about this contract opportunity.
To Apply for this Job Click Here
ML Scientist
San Francisco
$250000 - $288000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
Machine Learning Scientist
Overview
A research-driven organisation is seeking a Machine Learning Research Scientist to help develop next-generation foundation models for complex scientific and multimodal datasets. This individual contributor position is ideal for an independent researcher who excels at identifying meaningful problems, designing rigorous experiments, building models, and translating findings into actionable insights.
The role combines advanced machine learning research with practical model development. Success in this position will be measured primarily by scientific contribution, research quality, and the ability to generate new insights through experimentation.
Key Responsibilities
- Design, train, and evaluate large-scale foundation models across diverse multimodal datasets.
- Develop innovative methods for combining information from multiple data sources, modalities, and levels of abstraction.
- Create evaluation frameworks, benchmark tasks, and performance metrics to assess model effectiveness.
- Rapidly prototype research concepts and determine which ideas have the highest potential impact.
- Partner with domain experts, quantitative researchers, and machine learning practitioners to solve complex problems.
- Assess and apply emerging AI approaches, including large language models and autonomous agent-based systems, to research workflows.
- Communicate technical findings to both specialist and non-specialist audiences.
- Contribute to scientific publications, conference submissions, presentations, and broader research engagement activities.
- Lead projects from concept formulation through experimentation, analysis, and final conclusions.
Required Qualifications
Research Excellence
Candidates should demonstrate a strong record of original machine learning research through one or more of the following:
- First-author publications at leading machine learning, artificial intelligence, computer vision, or natural language processing conferences.
- Significant research contributions within highly regarded industrial research environments.
- Doctoral-level research in machine learning, computer science, statistics, artificial intelligence, or another rigorous quantitative discipline.
Key evaluation criteria include:
- Ability to identify important research questions.
- Technical rigor and depth of research execution.
- Evidence of innovative and independent thinking.
Execution Skills
The ideal candidate can:
- Independently move from concept to experiment.
- Implement and train machine learning models.
- Design robust evaluation methodologies.
- Perform comprehensive analysis of experimental outcomes.
- Iterate quickly based on evidence and results.
- Drive complete research efforts rather than contributing only a small portion of a larger initiative.
Academic Background
Strongly preferred:
- PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Applied Mathematics, Computational Neuroscience, Physics, or another quantitative field.
Candidates without a PhD may be considered if they possess an exceptional research record.
Technical Expertise
High-Priority Areas
Experience in one or more of the following:
- Foundation Models
- Self-Supervised Learning
- Representation Learning
- Computer Vision
- Multimodal Learning
- Large Language Models
- Generative AI
- Diffusion Models
- Flow-Based Generative Modelling
- Autoregressive Models
- Scientific Machine Learning
Additional Relevant Experience
Experience in any of the following areas is beneficial:
- Robotics
- Autonomous Systems
- Computational Biology
- Molecular Modelling
- Protein Structure Prediction
- Molecular Interaction Prediction
- Structural Biology
- Biochemistry
- Quantitative Physics
- Astrophysics
- Other mathematically intensive scientific disciplines
Preferred Qualifications
- Experience applying machine learning to scientific or research-focused domains.
- Familiarity with computational life sciences, chemistry, drug discovery, or related fields.
- Demonstrated interest in using AI to accelerate scientific discovery.
- Strong written and verbal communication skills with the ability to explain complex concepts to diverse audiences.
Domain Knowledge
Prior domain expertise in life sciences is not required. The organisation prioritises machine learning excellence and research capability. Strong candidates may come from areas such as computer vision, language modelling, robotics, reinforcement learning, autonomous systems, or scientific AI.
Candidates should be able to articulate their interest in applying machine learning techniques to scientific challenges and emerging research opportunities.
To Apply for this Job Click Here
Data Scientist
Manchester
£40000 - £55000
+ Data Science & AI
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
Data Scientist
Join a growing Data Science team within an insurance business where you’ll tackle complex pricing challenges, build production-ready machine learning models, and work on projects that directly influence commercial outcomes. This is a great opportunity for someone who enjoys solving business problems as much as building models.
The Role
You will:
- Build, validate and deploy machine learning and statistical models
- Work with Python, SQL, Databricks and PySpark to analyse large datasets
- Solve pricing and risk-related business challenges
- Explore new data sources and test innovative ideas
- Own projects from problem definition through to implementation
- Present insights to technical and non-technical stakeholders
- Support and mentor junior Data Scientists
Your Skills & Experience
- Strong commercial Data Science experience
- Advanced Python and SQL skills
- Experience with Databricks and/or PySpark
- Knowledge of machine learning techniques such as XGBoost and LightGBM
- Strong statistical modelling capability
- Excellent problem-solving and stakeholder management skills
- Experience in insurance, financial services, or another regulated environment is advantageous
To Apply for this Job Click Here
Senior Data Scientist (Pricing)
Leicester
£60000 - £100000
+ Data Science & AI
PermanentLeicester, Leicestershire
To Apply for this Job Click Here
I’m hiring a Senior Data Scientist to join a leading UK insurer’s Pricing & Data Science function, working on innovative machine learning solutions that directly influence risk assessment, pricing, fraud detection, and commercial performance.
This is a role for someone who enjoys taking models from problem definition through to deployment, working with modern ML techniques and real-world commercial challenges.
1 day/week (Leicester / London / Bexhill)
£60k-£100k
What you’ll be doing
- Build and deploy predictive models across pricing, claims, fraud, and risk analytics.
- Engineer new data assets and rating factors to improve pricing performance.
- Identify and leverage new data sources to drive business value.
- Partner with stakeholders across Pricing, Data Science, Analytics, and Engineering teams.
- Own ML projects end-to-end, including EDA, deployment, monitoring, and model refreshes.
What they’re looking for
– Proven experience delivering ML projects from concept to deployment.
– Strong Python and SQL skills.
– Experience with Azure ML, Git, and cloud-based analytics environments.
– Strong stakeholder engagement and commercial problem-solving capability.
– Passion for applying emerging ML techniques to real business problems.
Why join?
- Work in a highly respected pricing and analytics function.
- Bonus scheme + £5k car allowance.
- Private medical cover and strong benefits package.
- Opportunity to work on innovative modelling and pricing challenges at scale.
To Apply for this Job Click Here
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
CAN’T FIND THE DATA SCIENCE JOBS OPPORTUNITY?
GET IN TOUCH
today
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.
What Does an AI Engineer Do?
What Does an AI Engineer Do? Job Description, Responsibilities and Skills AI Engineers turn artificial intelligence from…
How Much Does an AI Engineer Make in the UK?
How Much Does an AI Engineer Make in the UK? AI Engineers are among the most sought-after…
How to Become an AI Engineer in the UK
How to Become an AI Engineer in the UK AI Engineering is one of the fastest-growing careers…
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…
The Growing Demand for Commercially Driven Analysts
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….
Testimonials
Client and
candidate
testimonials
A trusted partner of professionals across the globe.
We understand the challenges our customers face and offer the
recruitment solutions needed to drive business success through Data & AI.
Client – Director of 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 – 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
Candidate – Digital Media and Analytics
I've recently got a short-term contract role through Harnham, and things couldn't have gone better! My recruiter was incredibly helpful throughout the entire process. They also provided incredible admin support so that I could focus on the actual job in hand, rather than having to spend too much time dealing with these matters.
Candidate /
Digital Media and Analytics
Candidate – Senior Data Engineer
I've been a Senior Data Engineer for about 4-5 years and Harnham is one of the best recruitment agencies I worked with. There was a time when my offer fell through and the recruiter I was working with at Harnham jumped in to the rescue and scheduled interviews for me within a couple of days. Really good agency and some great people.
Candidate /
Senior Data Engineer
Client – Data Direction – Broadcast Media
I have worked with Harnham for over 2 years now as our main Analytics Recruiter partner and I am very pleased with the overall service and the people we have hired via Harnham. Harnham’s team is very good at understanding our recruitment needs and always come back with relevant and well scanned CVs, which saves me precious time.
Client /
Data Direction – Broadcast Media
Candidate – Data Analyst
I’ve had a great experience with Harnham. The recruiter provided great advice and ensured that I understood everything, and even followed up with me after I started my new role to see how I was settling in. I would recommend Harnham as a great recruitment company for anyone looking for a role in data and analytics.
Candidate /
Data Analyst
Client – Director of Customer Data Science – Apparel
The team at Harnham have been outstanding in helping our company build a market-leading data science team. Harnham’s communication is great, and the recruiter’s take a consultative approach that’s really focused on provided value for both their clients and their candidates. They provide strong candidates that help us fill our roles with high achievers who are also a great fit for our culture.
Client /
Director of Customer Data Science – Apparel
Candidate – Chief Data Officer
It was a real treat to work with Harnham. My recruiter consistently went above and beyond to ensure that I navigated through the recruitment process as smooth as possible. I had been in contact with other professional at Harnham in the past and I can attest that the level of professionalism is always top-notch.
