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!
Senior AI Consultant – Credit Risk
London
£80000 - £90000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
AI Consultant
London, 3 days in the office| Salary between £80,000 and £90,000
This is a high-impact opportunity to join a newly established AI lab within a large, data-rich organisation, where AI is central to future product innovation and client delivery. Sitting at the senior end of the consultant band, this role offers real influence over how advanced analytics and AI are applied to complex, real-world lending decisions.
The Company
They are a well-established data and analytics organisation operating at scale across financial services and adjacent industries. With access to extensive proprietary datasets, they support clients in making more accurate, responsible decisions through advanced analytics and modelling. Their AI lab is a growing centre of excellence designed to accelerate innovation and embed AI across the wider business.
The Role
You will play a key role in developing and enhancing AI-driven solutions used across client and internal projects, with a strong focus on credit and lending use cases.
Responsibilities include:
- Designing and building AI and machine learning models to support lending, risk, and decisioning strategies.
- Developing and enhancing predictive models, including scorecards and other risk-focused approaches.
- Applying techniques such as LLMs, transformers, and applied ML to real business problems such as automation and decision support.
- Leading research and development activity for new AI-led solutions and product concepts.
- Communicating complex analytical outputs clearly through presentations, written outputs, and stakeholder discussions.
- Collaborating closely with analytics, engineering, and product teams across the organisation.
Your Skills and Experience
- Strong commercial experience in credit risk modelling within a lender, fintech, or credit bureau environment.
- Proven capability in developing predictive models, including scorecards or similar risk models.
- Hands-on experience applying AI or machine learning, such as LLMs, chatbots, or advanced ML techniques, to business problems.
- Strong Python and SQL skills for data analysis and model development.
- Experience exploring alternative or innovative AI-driven approaches to solve challenges within lending or collections.
- Confidence working autonomously and contributing at a senior consultant level.
What They Offer
- Salary between £80,000 and £90,000
- A key role within a growing AI lab with strong visibility and long-term progression opportunities.
- Exposure to a wide variety of projects across financial services and other data-intensive sectors.
- A collaborative, inclusive culture with strong retention and long-term career development.
How to Apply
Apply bellow or email me at
To Apply for this Job Click Here
Research Science – Human Attention
London
£60000 - £75000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Research Scientist, Human Attention and Spatial AI
Remote | Salary £60,000 to £75,000 plus equity
This is a rare opportunity to join a small, research-led team working on some of the most challenging problems in human-centred AI. The role offers genuine ownership, the chance to shape research direction, and the ability to see ideas move quickly from experimentation into real-world applications.
The Company
They are a human-centric research and development consultancy focused on modelling how people perceive, attend to, and interact with complex visual and spatial environments. Operating with a lean, startup-style culture, the team works closely with industry partners while actively expanding into new application areas such as aerospace, immersive technologies, and assistive systems.
The Role
You will work at the intersection of machine learning, computer vision, and cognitive science to build models that predict and interpret human attention and behaviour in visual and spatial contexts.
Key responsibilities include:
Designing and implementing machine learning models for human attention, perception, and interaction.
Running independent experiments, from hypothesis and data design through to evaluation and analysis.
Working with visual, temporal, and spatial data including images, video, 3D scenes, and gaze signals.
Translating research ideas into practical prototypes with support from a small engineering-focused team.
Contributing ideas proactively in an open, research-driven environment.
Your Skills and Experience
- PhD, near-complete PhD, in machine learning, computer vision, AI, cognitive science, neuroscience, HCI, robotics, or a related field.
- Evidence of strong research output such as publications at leading computer vision or AI venues, patents, or substantial open-source contributions.
- Strong hands-on experience with Python and modern deep learning frameworks, ideally PyTorch.
- Ability to design, run, and evaluate machine learning experiments independently.
- A genuine interest in human behaviour, attention, perception, or cognitive modelling.
- Clear communication skills and confidence working in a small, collaborative team.
What They Offer
- Salary between £60,000 and £75,000 depending on experience.
- Equity options ranging from 0.1 percent to 3.0 percent based on seniority and scope.
- Fully remote.
- High-impact research problems, real-world applications, and meaningful technical ownership.
- A supportive, creative culture that values curiosity, initiative, and thoughtful experimentation.
How to Apply
Apply below or email me at for more information.
To Apply for this Job Click Here
Staff GTM Data Scientist
$190000 - $220000
+ Data Science & AI
PermanentCalifornia
To Apply for this Job Click Here
Staff GTM Data Scientist
Location: Remote
Salary: $190-220k base
We’re partnering with a fast-growing SaaS company to find a Staff Data Scientist for a senior, high-visibility role sitting at the heart of their product and go-to-market strategy. This isn’t a reporting role or a dashboard-builder position. It’s for someone who can drive a genuine shift toward data-driven decision making across the organization, and who has the technical depth and communication skills to bring leadership along with them.
What You’ll Be Doing
- Owning and advancing the company’s experimentation roadmap, focusing on high-leverage questions around customer workflows, churn risk, and long-term value
- Designing and analyzing complex A/B tests, multivariate experiments, and Bayesian methods to assess the real impact of product and business changes
- Applying causal inference techniques (DiD, synthetic control, propensity score matching, instrumental variables) where traditional RCTs aren’t feasible
- Building and governing a unified KPI framework that connects product health metrics to business outcomes
- Partnering with Data Engineering to build scalable, self-serve experimentation tooling and reusable analytical frameworks
- Translating complex statistical findings into clear, compelling narratives for VP and C-suite audiences
- Mentoring and training junior and mid-level data scientists on experimental design and causal modeling
What We’re Looking For
This is a senior individual contributor role reporting to the Director of GTM Data, acting as a strategic thought partner across Product, Marketing, Finance, and Engineering. The company is at an inflection point in how it uses data, and this person will be central to shaping that.
Essential:
- 6+ years in applied data science, economics, or product analytics
- Proven expertise in causal inference: DiD, PSM, instrumental variables, quasi-experimentation
- Deep experience in A/B testing methodology including sequential testing, CUPED, variance reduction, and network effects
- Advanced SQL and Python or R for statistical modeling
- Experience with Snowflake or similar cloud data warehouses
- Exceptional communication skills, comfortable presenting to and influencing C-suite stakeholders
- Demonstrated ability to drive change in organizations where experimentation culture is still maturing
Nice to have:
- Experience with dbt, Airflow, or Databricks
- Background in SaaS and product data science
To Apply for this Job Click Here
Staff Product Data Scientist
$190000 - $220000
+ Data Science & AI
PermanentCalifornia
To Apply for this Job Click Here
Staff Data Scientist (Product)
Location: Remote
Salary: $190-220k
We’re partnering with a fast-growing SaaS company to find a Staff Data Scientist for a senior, high-visibility role embedded in their product organization. This is for someone who combines deep statistical expertise with the ability to influence how an entire company makes decisions – not just someone who runs experiments, but someone who builds the culture and infrastructure around them.
What You’ll Be Doing
- Owning and advancing the company’s experimentation roadmap, focused on high-leverage product questions around customer workflows, churn risk, and long-term value
- Designing and analyzing complex A/B tests, multivariate experiments, and Bayesian methods to measure the real impact of product changes
- Applying causal inference techniques (DiD, synthetic control, propensity score matching, instrumental variables) where traditional RCTs aren’t feasible
- Building and governing a unified KPI framework that connects product health metrics to meaningful business outcomes
- Partnering with Data Engineering to build scalable, self-serve experimentation tooling and reusable analytical frameworks
- Translating complex statistical findings into clear, compelling narratives for VP and C-suite audiences
- Mentoring and training junior and mid-level data scientists on experimental design and causal modeling
What We’re Looking For
This is a senior individual contributor role reporting to the Director of Product Data, acting as a strategic thought partner across Product, Engineering, Finance, Design, and Product Marketing. The company is at an inflection point in how it uses data to make product decisions, and this person will be central to shaping that.
Essential:
- 6+ years in applied data science, economics, or product analytics
- Proven expertise in causal inference: DiD, PSM, instrumental variables, quasi-experimentation
- Deep experience in A/B testing methodology including sequential testing, CUPED, variance reduction, and network effects
- Advanced SQL and Python or R for statistical modeling
- Experience with Snowflake or similar cloud data warehouses
- Exceptional communication skills, comfortable presenting to and influencing C-suite stakeholders
- Demonstrated ability to drive change in organizations where experimentation culture is still developing
Nice to have:
- Experience with dbt, Airflow, or Databricks
- Background in SaaS and product data science
To Apply for this Job Click Here
Data Scientist
London
£55000 - £65000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Data Scientist
London hybrid 2 days per week with flexibility for candidates based in the North | Salary up to £65,000
The Company
They are a UK based data and analytics consultancy that also develops proprietary data products. Combining rich data assets with advanced analytics and modelling expertise, they support organisations to make smarter, more targeted decisions. Their work spans sectors such as utilities, telecoms, financial services and not for profit organisations, with a strong focus on predictive modelling for marketing and customer insight.
The Role
- Build and refine predictive models, with a strong focus on propensity and scorecard style modelling.
- Translate client problems into analytical solutions through data discovery and stakeholder workshops.
- Work closely with subject matter experts, project managers and data analysts to deliver end to end projects.
- Train, test and optimise models, ensuring outputs are robust and commercially relevant.
- Present findings and recommendations to clients in a clear, engaging and non technical way.
- Contribute to reports, dashboards and insight packs that support client decision making.
Your Skills and Experience
- Strong commercial experience using Python and SQL for data analysis and modelling.
- Practical experience building and validating predictive models, ideally within customer or marketing analytics.
- Comfortable working with large datasets and translating patterns into actionable insight.
- Experience working with cloud based analytics platforms, with Databricks being a strong advantage.
- Confident communicator who enjoys working directly with clients and stakeholders.
- An analytical background with curiosity to explore data beyond the initial brief.
What They Offer
- Salary up to £65,000 depending on experience.
- Hybrid working model with two days per week in London and flexibility for Northern based candidates.
- Exposure to a wide range of industries and business problems.
- Clear progression within a growing data science function, working alongside experienced practitioners.
- The chance to develop both technical and client facing skills in a collaborative environment.
How to Apply
If you are a Data Scientist looking for a role that blends advanced analytics with real client impact, apply now to learn more.
To Apply for this Job Click Here
Founding Research Scientist
London
£65000 - £75000
+ Data Science & AI
PermanentEngland
To Apply for this Job Click Here
Founding Research Scientist
London | £60,000 to £75,000 plus equity
This role stands out for its focus on applied research at the intersection of human perception and machine learning, with work directly shaping how intelligent systems understand attention, gaze and behaviour in real world environments. You will have the autonomy to explore ideas end to end, from experimental design to working prototypes, while contributing to technology with clear safety and societal impact.
The Company
They are a human centred research and development consultancy specialising in cognitive and perceptual modelling for complex visual and spatial systems. Operating as a small, fast moving team, they combine academic depth with practical delivery for long term industry partners. The business is profitable, independently funded and intentionally focused on sustainable growth rather than venture backing.
The Role
- Build and evaluate machine learning models that predict and interpret human attention, gaze and interaction within visual and spatial environments
- Design and run independent experiments across computer vision, temporal modelling and multimodal data
- Apply research from cognitive science and perception to practical AI systems
- Develop prototypes in Python and PyTorch, with light engineering where needed
- Contribute ideas proactively and collaborate closely within a multidisciplinary team
- Work on technology aligned with emerging safety and human monitoring requirements across transport and adjacent domains
Your Skills and Experience
- PhD or equivalent research experience in areas such as computational vision, visual attention, gaze estimation, cognitive neuroscience, HCI or perception with a machine learning component
- Strong research output through publications, patents or substantial open source contributions, ideally within computer vision or human centred AI
- Hands on experience with deep learning using Python and PyTorch
- Ability to design, execute and interpret experiments independently
- Experience or strong interest in areas such as eye tracking, saliency, egocentric video, EEG with vision, embodied AI or human behaviour modelling
- Clear communication skills and comfort working in a small, collaborative environment
What They Offer
- Salary of £60,000 to £75,000 depending on experience
- Equity options ranging from 0.1 percent to 3.0 percent
- Predominantly remote working with occasional collaboration in London
- High impact research work with real world application and long term relevance
- Opportunity to shape technical direction and grow with the organisation
How to Apply
Apply now to discuss this Research Scientist opportunity in Human Attention and Spatial AI in more detail.
To Apply for this Job Click Here
Clinical Data Scientist
San Francisco
$160000 - $190000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
Clinical Data Scientist
San Francisco, California
Remote
$160,000 – $190,000 + Equity
About the Company
This innovative health tech startup is working to improve the oncology drug development process by providing better patient data to drug developers as well as better access to clinical trials for patients. This series B startup is expending to meet demand.
About the Role
As a Clinical Data Scientist, you’ll execute the last leg of the clinical data pipeline by transforming, cleaning, validating, and delivering high‑quality clinical datasets for pharma partners. Heavy collaboration with Clinical Ops, AI Engineering, and Data Delivery.
Role Responsibilities
- Transform raw, abstracted, and AI‑processed data into CDISC SDTM/ADaM datasets
- Program statistical outputs (tables, listings, figures) in SAS/R/Python
- Investigate data anomalies across multiple messy data inputs
- Define data dictionaries and standards before study kickoff
- Handle data in a HIPAA‑aligned manner
Key Requirements
- 2-5 years in clinical data science, stat programming, or clinical data management
- Pharma/Biotech experience
- SAS, R, Python, SQL
- Real‑world clinical data or oncology trials
- CDISC SDTM/ADaM
To Apply for this Job Click Here
Applied Scientist
Manhattan
$60 - $70
+ Data Science & AI
ContractManhattan, New York
To Apply for this Job Click Here
Key Responsibilities
- Design and run experiments to solve search, NLP, and GenAI problems.
- Build and fine‑tune models using modern deep learning techniques.
- Develop retrieval‑augmented generation systems (LLMs grounded in data).
- Partner with engineering to productionize models and features.
- Evaluate model quality using structured metrics and testing frameworks.
Requirements
Must have
- MS or PhD in Computer Science, ML, or a related field.
- 1 to 2 years of hands‑on ML experience (industry or applied research).
- Strong Python skills and experience with PyTorch or similar frameworks.
- Experience in NLP, information retrieval, or generative AI.
- Experience working in shared codebases with version control.
Nice to have
- Experience evaluating large language models (LLM eval frameworks or custom tools).
- Experience with RAG systems, agent workflows, or tool‑using LLMs.
- Publications in ML or NLP venues (NeurIPS, ACL, EMNLP, ICLR, SIGIR).
- Exposure to MLOps or production ML pipelines.
To Apply for this Job Click Here
Lead AI Engineer
Pittsburgh
$175000 - $200000
+ Data Science & AI
PermanentPittsburgh, Pennsylvania
To Apply for this Job Click Here
Lead AI Engineer
$200,000
Location: Pittsburgh, PA (Onsite)
THE COMPANY
A high‑growth, mission‑driven technology organisation is expanding its advanced AI function. The team specialises in building intelligent autonomous systems designed to operate across complex workflows and high‑stakes environments. Engineers here work on cutting‑edge agentic technologies with significant ownership and impact.
THE ROLE
As the Lead AI Engineer, you’ll guide a specialised engineering team responsible for designing, building, and deploying next‑generation agentic AI systems. You will lead technical strategy, architecture decisions, and hands‑on development, while also mentoring engineers and driving best‑in‑class standards for performance, reliability, and scalability.
You’ll oversee the development of agents capable of long‑horizon planning, tool‑use, memory, and coordination across multi‑agent environments, ensuring they can operate effectively in real‑world mission‑critical settings.
KEY RESPONSIBILITIES
- Lead the design and development of agentic AI systems from conception through production
- Architect multi‑agent systems with planning, routing, memory, and complex tool‑use
- Build modular “skills” and components that plug into backend systems and data pipelines
- Establish evaluation frameworks, telemetry systems, and observability tools for agent behaviour
- Guide Agile processes, technical planning, and day‑to‑day engineering execution
- Partner with product and delivery teams to solve complex operational challenges
- Provide mentorship and technical leadership to engineers and data scientists
EXPERIENCE REQUIRED
- Several years of experience building and deploying ML or LLM‑powered systems in production
- Experience leading or mentoring engineering teams
- Demonstrated expertise in LLM integration and agentic system development
- Strong Python engineering skills
- Hands‑on experience with cloud infrastructure (AWS preferred)
- Familiarity with LLM algorithms, scaling patterns, and system reliability
- Ability to operate autonomously in high‑pace, ambiguous environments
- Comfortable with Git and modern engineering workflows
DESIRABLE EXPERIENCE
- Experience designing or deploying complex multi‑agent architectures
- Exposure to startup or high‑growth engineering cultures
- Experience with GenAI coding tools or best practices for agentic systems
- Eligibility to work in secure or sensitive environments
THE OFFER
- Ownership over next‑generation agentic AI strategy and architecture
- Opportunity to lead a high‑impact engineering team
- Work with cutting‑edge LLM and agentic technologies
- Fast‑paced environment with strong technical autonomy
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.
AI in Private Equity: How Talent Strategy Drives Portfolio Value Creation
by Nick Mandella, Director at Harnham. Most PE firms are investing in AI, but returns remain mixed….
How to Choose the Right AI Recruitment Agency in the US
Kyle Arriola, Harnham’s AVP of Data & AI Talent Acquisition, recently spoke with Simon Clarke, CEO of…
Why Dutch-Speaking Data & AI Talent Is So Hard to Hire
by Ross Henderson, Director at Harnham. Why it’s so hard to hire Dutch-speaking Data & AI talent…
Tech in Europe on the decline? The reality of the engineering talent market in the Netherlands tells a different story
by Ross Henderson, Director at Harnham. If you read the news, you’d be forgiven for thinking…
Analytics in Private Equity: Driving Portfolio Value
by Kiran Ramasamy, Business Manager at Harnham. Analytics Leadership in PE Portfolios: Timing the Right Hire A…
Data & Analytics Hiring Trends: Market Insight
by Jamie Smith, Senior Manager at Harnham, UK. Data & Analytics Hiring Trends How working models, technology…
How Analytics Teams Drive Value Creation in Growth-Stage Portfolio Companies
by Tom Brammer, Senior Manager – AI and Machine Learning US Team Analytics teams support value creation…
How a Leading European Media Group Unified Its Data Strategy with Harnham
by Jamie Smith, Senior Manager at Harnham, UK. A major privately owned media organisation in Europe, employing…
From Start-Up to Scale-Up: Hire Exceptional Data Talent in Two Weeks
By Guillian Eller, Manager AI/ML – Harnham You’re growing fast. You needed data talent yesterday. The reality…
Reskilling & Upskilling: What US Data Professionals Are Doing
By Luc Simpson-Kent, Managing Consultant – Harnham US Candidates want growth. Employers want retention. And in today’s…
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 – 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 – Chief Data Officer
It was a real treat to work with Harnham. My recruiter consistently went above and beyond to ensure that I navigated through the recruitment process as smooth as possible. I had been in contact with other professional at Harnham in the past and I can attest that the level of professionalism is always top-notch.
Candidate /
Chief Data Officer
Client – 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 – 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
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 – 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.
