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
London
£60000 - £75000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Data Scientist
London, 60,000 to 70,000 plus benefits, hybrid working, no sponsorship
This role offers the chance to step into a high‑impact data science position within a fast‑moving pricing environment where analytics directly influences commercial outcomes. You will work on complex, real‑world modelling problems with genuine ownership and visibility, rather than supporting work at the edges of the business.
The Company
They are a well‑established European insurance business operating in a highly data‑driven and technology‑led environment. With strong backing and ambitious growth plans in the UK, analytics plays a central role in how they compete and respond to market change. The culture is collaborative, fast paced and focused on building advanced analytical capability in‑house.
The Role
- Work within a pricing and underwriting data science team, building and improving predictive models that influence commercial strategy.
- Develop pricing and risk models that balance competitiveness with profitability.
- Explore, evaluate and integrate new data sources to enhance model performance.
- Use statistical thinking, logic and reasoning to simulate customer behaviour, including risk frequency and price sensitivity.
- Communicate insights clearly and influence decision‑making across technical and non‑technical stakeholders.
- Partner closely with machine learning engineers and other data professionals to deploy robust, scalable solutions.
Your Skills and Experience
- Strong commercial experience in data science or statistical modelling within any industry.
- Advanced Python skills for analysis and modelling.
- A solid grounding in statistical or mathematical concepts and applied problem solving.
- Confidence reasoning through complex problems and explaining your approach clearly.
- Experience working with end‑to‑end modelling problems, from concept through to impact.
- You must already have the right to work in the UK, as sponsorship is not available.
What They Offer
- Salary ranging from 60,000 to 75,000 depending on experience.
- Hybrid working with 1 to 2 days per week in the London office.
- High levels of autonomy and ownership over meaningful projects.
- Exposure to a wide range of analytical challenges in a fast‑growing business.
- Clear opportunities for progression as the UK data function continues to scale.
How to Apply
Apply now to learn more about this data science opportunity within a high‑impact pricing team.
To Apply for this Job Click Here
Data Scientist
London
£45000 - £50000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Data Scientist
London hybrid (1 to 2 days in the office) | £45,000 to £50,000 + benefits
Must have a masters in Maths or Physics from a Russell Group University
No sponsorship.
This is an opportunity to join a fast-growing insurance business at a pivotal stage of its UK expansion. You will sit in a highly analytical pricing and underwriting team, working on commercially critical models that directly influence pricing strategy, customer behaviour, and market competitiveness. The role offers strong ownership, rapid learning, and clear progression in a business that invests heavily in developing its data talent.
The Company
They are a European insurance provider operating in a highly competitive market, known for using data and technology as a core differentiator. Having achieved significant scale in their home market, they are now expanding rapidly across Europe with strong financial backing and ambitious growth plans. The culture is fast paced, highly data driven, and focused on building advanced analytical capability ahead of the market. They place particular emphasis on developing high-potential individuals and giving them exposure to meaningful, business-critical work.
The Role
- Work within the pricing and underwriting function to improve price accuracy and competitiveness
- Build and develop predictive models to better understand risk, customer behaviour, and pricing sensitivity
- Explore and integrate new data sources to enhance existing pricing and risk models
- Simulate customer behaviour, such as claim likelihood and response to pricing changes
- Translate analytical insights into practical recommendations that support new business growth
- Collaborate closely with other data scientists, machine learning engineers, and stakeholders across the business
Your Skills & Experience
- Strong academic background in a quantitative subject such as Mathematics or Physics
- Excellent logical reasoning and problem-solving ability
- Experience applying data science or modelling techniques in a commercial environment, or strong academic project experience
- Python experience is essential, with openness around other tools and technologies
- Ability to communicate complex ideas clearly and reason through problems out loud
- Motivated, curious, and keen to develop quickly in a demanding analytical environment
What They Offer
- Salary from £45,000 to £50,000 for strong Master’s graduates
- Hybrid working with 1 to 2 days per week in the London office
- Exposure to a wide range of pricing and modelling projects with real commercial impact
- Strong learning culture with support, mentorship, and clear development pathways
- Opportunity to join a growing UK analytics function within a well-funded, high-growth business
How to Apply
If you are interested in this Data Scientist role and want to find out more, please apply!
To Apply for this Job Click Here
Data Scientist
London
£45000 - £50000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Data Scientist
London, 45,000 to 50,000 plus benefits, hybrid working 1 to 2 days per week, No sponsorship available
This is a standout opportunity for a high‑potential graduate to launch a data science career in a business where analytics directly shapes commercial decisions. You will join a pricing team known for developing early‑career talent, offering real ownership, structured learning and exposure to impactful projects from day one.
The Company
They are a fast‑growing European motor insurance business operating in a highly data‑driven, technology‑led environment. Having successfully scaled across multiple markets, they are now investing heavily in their UK analytical capability. The culture is ambitious, collaborative and focused on hiring bright, curious people with strong problem‑solving ability.
The Role
- Work within a data science function aligned to pricing and underwriting.
- Build and improve predictive models to support pricing competitiveness and risk management.
- Use logical reasoning and statistical thinking to simulate customer behaviour, including risk and price sensitivity.
- Explore and assess new data sources to enhance modelling performance.
- Communicate your approach and reasoning clearly when solving complex problems.
- Collaborate closely with experienced data scientists and machine learning engineers.
Your Skills and Experience
- A Masters degree in Mathematics, Physics or a closely related quantitative subject.
- Strong academic performance with a 2.1 or above.
- Excellent logical, analytical and problem‑solving skills.
- Motivation, curiosity and a clear interest in applied data science.
- Ability to explain your thinking and approach when tackling unfamiliar problems.
- Any exposure to Python or analytical programming is beneficial but not essential for graduates.
- You must already have the right to work in the UK, as sponsorship is not available for this role.
What They Offer
- Salary of 45,000 to 50,000.
- Hybrid working with 1 to 2 days per week in the London office.
- Structured training, mentorship and clear development pathways within data science.
- High levels of responsibility and ownership early in your career.
- The chance to grow within a business that genuinely values data and invests in its people.
How to Apply
Apply now to learn more about this graduate data science opportunity within a high‑performing pricing team.
To Apply for this Job Click Here
Staff Data Scientist – Credit & Marketplace
New York
$240000 - $280000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Staff Data Scientist – Credit & Marketplace
Up to $280k base + significant equity
New York | In‑office (3-4 days/week)
We’re partnering with a Series A fintech building a credit‑led marketplace – a platform where data science sits at the heart of both credit decisioning and marketplace optimisation.
This is a rare opportunity to join at a stage where models are still being defined, not inherited. The team is hiring a Senior to Staff‑level Data Scientist to help shape the decision engine that determines who gets access to credit, how risk is priced, and how the marketplace allocates supply and demand.
They’re open to two backgrounds – but only at the very top end of the market:
- Credit / lending data scientists
- Elite marketplace data scientists (pricing, ranking, matching, experimentation)
- ✅ Successful Series A (o similar) experience is strongly preferred
Why This Role Is Different
Most DS roles optimise metrics. This one moves money. Your models will directly impact:
- Credit approval decisions
- Pricing and margin
- Portfolio performance and growth velocity
This is not a reporting or support role – it’s a core decision‑making seat for someone with a high grade ML / Data Science skillset.
What You’ll Do
- Design, build and iterate on credit underwriting and pricing models used in live production
- Tackle high‑stakes, constrained optimisation problems across credit and marketplace decisioning
- Apply causal and experimental thinking where clean A/B tests aren’t possible
- Own the full lifecycle: EDA → modelling → deployment, partnering closely with engineering
- Help define modelling standards, trade‑offs, and decision frameworks at an early stage
Who They’re Looking For
- Staff‑level Data Scientist
- Strong preference for successful Series A (or early Series B) experience
- Background in credit, lending, fintech, BNPL, or adjacent decisioning‑heavy domains like marketplace
- PhD or PhD‑level rigour strongly preferred (but not required if experience demonstrates depth)
- Strong Python & SQL; comfortable owning production‑facing logic
- Someone who thrives in ambiguity, speed, and ownership
Compensation & Logistics
- Base salary up to $280k (depending on level)
- Significant equity
- NYC based, 3-4 days in office
- No visa sponsorship
- If you’ve already helped scale a Series A company – and want to do it again with real ownership and influence – this is a rare opportunity.
To Apply for this Job Click Here
Clinical Data Scientist
San Francisco
$130000 - $180000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
Clinical Data Scientist
Redwood City, CA (Hybrid potentially remote options)
Salary: $140,000-$180,000
No Sponsorship Available
About the Role
We are seeking a Clinical Data Scientist to play a pivotal role in transforming complex clinical datasets into high‑quality, analysis‑ready outputs used to support clinical trials and real‑world evidence initiatives.
In this role, you will operate at the intersection of data science, clinical research, and statistical programming. You’ll be responsible for validating, cleaning, and structuring data originating from multiple sources-including expert manual abstraction teams, AI‑assisted pipelines, EMR feeds, and EDC systems.
You’ll collaborate closely with Clinical Operations, Data Engineering, and AI/ML teams to ensure accuracy, traceability, and compliance across every dataset delivered internally or externally.
This role is ideal for someone who is detail‑obsessed, technically versatile, and passionate about elevating the quality of clinical data used in drug development.
What You’ll Do
- Convert raw, manually abstracted, and AI‑processed datasets into standardized formats (e.g., CDISC SDTM/ADaM) or client‑specific data models.
- Ensure outputs meet quality, compliance, and traceability standards.
- Generate TLFs (Tables, Listings, Figures) for clinical reports and interim analyses using R or Python.
- Perform robust data cleaning and QC checks.
- Investigate anomalies and troubleshoot issues across the data pipeline.
- Distinguish between upstream extraction issues and true clinical variations.
- Partner with Data Platform and AI teams to automate cleaning scripts, validations, and workflow logic.
- Serve as an early user and feedback partner for internal data tools.
- Maintain documentation for data derivations, specifications, and validation logic (e.g., Define.xml, Reviewers Guides).
- Support compliance and regulatory submission needs.
- Complete internal and external analysis requests to support clinical insights, client value, and platform performance.
- Apply HIPAA-aligned data safeguards and adhere to best practices across privacy, security, and data governance.
What You Bring
- Education:
- BSc/MSc in Statistics, Mathematics, Computer Science, Life Sciences, or related field.
- Experience:
- 2-5+ years in clinical data science, statistical programming, or data management in pharma/biotech.
- Technical Strengths:
- SAS, R, Python, SQL
- Experience with Git/version control preferred
- Industry Knowledge:
- Familiarity with clinical trial workflows
- Strong understanding of CDISC SDTM/ADaM
- Oncology endpoints (RECIST, survival) and RWD experience is a plus
- Data Wrangling:
- Comfort “stitching together” messy, real‑world clinical datasets
- Experience with unstructured text or NLP outputs is desirable
- Soft Skills:
- Exceptional attention to detail
- Clear, structured communicator
- Proactive, self‑directed, collaborative
To Apply for this Job Click Here
Data Science Lead/Director
New York
$243394 - $304242.5
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Sirector Data Scientce – GTM Strategy & Predictive Analytics
United States | New York
$230,000 – $250,000 base + $25,000-$75,000 bonus
Harnham is partnering with a highly regarded GTM strategy consultancy that works with some of the world’s most sophisticated B2B organisations across SaaS, enterprise technology, and Private Equity portfolios.
They are hiring a Data Science Lead to sit at the heart of client delivery – owning predictive modelling, setting analytical standards, and acting as a trusted advisor to senior commercial leaders.
This is a senior, hands‑on “player‑coach” role for someone who combines consulting‑grade communication, deep statistical modelling expertise, and a strong understanding of go‑to‑market, sales, and revenue problems.
The Role
You will split your time across client delivery, technical leadership, and methodology development, including:
- Leading complex predictive analytics workstreams across GTM use cases (segmentation, targeting, churn, forecasting, pricing, quota optimisation, marketing effectiveness)
- Acting as the quality bar for modelling and statistical rigor across the team
- Translating analytical outputs into clear, executive‑ready recommendations
- Leading and guiding a team of data scientists (7-10)
- Developing reusable analytical frameworks and IP
- Supporting business development as a technical expert (no independent selling)
This role is delivery‑led – you will be directly involved in the most complex client problems while advising across the broader portfolio.
What We’re Looking For
This role has no room for weaknesses in the core areas below:
Consulting & Communication (Non‑negotiable)
- Polished, confident communicator
- Comfortable on senior client calls
- Able to explain modelling choices and trade‑offs without over‑engineering
Predictive Modelling & Statistics
- Strong Python (pandas, scikit‑learn, stats libraries)
- Proven experience with regression, classification, clustering, forecasting, experimentation, causal methods
- Solid statistical foundation (maths, statistics, economics or similar undergrad strongly preferred)
- R experience is a plus
Commercial / GTM Domain Expertise
- Hands‑on experience with GTM, Sales, RevOps, Marketing or Revenue Analytics
- Familiarity with CRM, pipeline, account‑level and marketing data
- Able to connect modelling decisions directly to revenue impact
Background
- 4-10 years in data science / analytics
- Experience in consulting, PE value creation, financial services analytics, or high growth B2B environments
- Prior leadership or player‑coach experience required
Why This Opportunity
- Shape and scale a growing data science capability
- Work on high‑impact commercial problems, not product feature optimisation
- High visibility with senior consulting and client leadership
- Entrepreneurial, intellectually rigorous environment
If you are a consulting‑grade data science specialist who enjoys solving commercial problems with statistical rigour, this is a rare opportunity.
To Apply for this Job Click Here
Senior Data Scientist
London
£60000 - £75000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Data Scientist
A great opportunity to join a team building advanced conversational AI and NLP products for financial services. This role is ideal if you enjoy modern LLMs, problem solving, and bringing machine learning models into production.
The Company
They are a growing data and AI organisation developing conversational tools, data assistants, and NLP solutions for analytics and trading teams. Their work spans LLM fine tuning, automation, and website chatbots, supported by strong engineering and DevOps functions. They operate an AWS environment and encourage collaboration across teams.
The Role
- Build and fine tune LLMs and NLP models for analytics and conversational products.
- Apply mathematical and quantitative thinking to financial use cases.
- Develop ML pipelines, model evaluation processes, and production ready code.
- Work with engineers to deploy models in AWS.
- Support and guide mid level Data Scientists.
Your Skills and Experience
- Strong commercial experience in Python, machine learning, and NLP.
- Hands on work with LLMs, fine tuning, and modern ML tooling.
- Ability to understand quantitative concepts for trading and financial analytics.
- Experience working in cloud based engineering environments, ideally AWS.
- Comfortable collaborating with cross functional teams.
To Apply for this Job Click Here
Senior Data Scientist
Manchester
£60000 - £75000
+ Data Science & AI
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
Senior Data Scientist – 2 days a month in London
A great opportunity to join a team building advanced conversational AI and NLP products for financial services. This role is ideal if you enjoy modern LLMs, problem solving, and bringing machine learning models into production.
The Company
They are a growing data and AI organisation developing conversational tools, data assistants, and NLP solutions for analytics and trading teams. Their work spans LLM fine tuning, automation, and website chatbots, supported by strong engineering and DevOps functions. They operate an AWS environment and encourage collaboration across teams.
The Role
- Build and fine tune LLMs and NLP models for analytics and conversational products.
- Apply mathematical and quantitative thinking to financial use cases.
- Develop ML pipelines, model evaluation processes, and production ready code.
- Work with engineers to deploy models in AWS.
- Support and guide mid level Data Scientists.
Your Skills and Experience
- Strong commercial experience in Python, machine learning, and NLP.
- Hands on work with LLMs, fine tuning, and modern ML tooling.
- Ability to understand quantitative concepts for trading and financial analytics.
- Experience working in cloud based engineering environments, ideally AWS.
- Comfortable collaborating with cross functional teams.
To Apply for this Job Click Here
Senior Data Scientist
New York
$200000 - $210000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Principal Data Scientist
Full Remote (From the US)
Salary up to $210K base + bonus
A large, global technology-led organisation operating in a mission-driven, data-intensive domain. The business designs and scales complex digital platforms used by millions of end users worldwide, combining advanced data science, AI, and product engineering to drive measurable real-world impact.
Mission
- Act as technical lead for high-impact Data Science and AI initiatives across the organisation
- Define architectures, methodologies, and best practices for complex DS/AI and GenAI problem spaces
- Lead the design and delivery of production-grade AI systems, with particular focus on LLMs and generative AI
- Drive strategic initiatives by aligning DS/AI priorities with business and product objectives
- Mentor senior and junior data scientists, setting technical direction and raising engineering standards
- Own multiple projects simultaneously: scoping, prioritisation, delivery timelines, and stakeholder alignment
Profile
- PhD or equivalent in Data Science, Applied Mathematics, Statistics, or related field
- Senior-level experience: typically 6-10+ years in DS/AI roles, including leadership at Principal / Staff level
- Demonstrated technical leadership: defining strategy, owning complex initiatives, and mentoring teams
- Deep hands-on experience with production-scale DS/AI systems, with a strong recent focus on Generative AI / LLMs
- Expertise in LLM architectures, orchestration frameworks, and AI governance (guarding, scaling, monitoring, reliability)
- Strong understanding of MLOps / LLMOps in enterprise environments
To Apply for this Job Click Here
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With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
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We understand the challenges our
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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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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 /
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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.
Candidate /
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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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Data Direction – Broadcast Media
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 /
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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.
Candidate /
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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.
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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.
