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!
Machine Learning Engineer
€60000 - €61000
+ Data Science & AI
PermanentNetherlands
To Apply for this Job Click Here
Machine Learning Engineer – Executive Search Firm
Amsterdam Zuid
€60,000-€65,000 + holiday allowance
Hybrid (3 days in-office per week)
Join one of the world’s most respected executive search firms, with over 70 offices globally. Known for its high-performing, polished environment and commitment to excellence at board and senior leadership levels, this organisation is expanding its data and research capabilities to better understand what makes leadership teams successful.
The Role
We’re looking for a Machine Learning Engineer to help bring cutting-edge ideas and algorithms to life. Reporting directly to Febo, you’ll work closely with the Data Science & Data Architecture team.
Your focus will be on building and developing the firm’s data warehouse and enabling the data science team to turn research into scalable, real-world tools. This is a hands-on, development-driven position – ideal for someone who wants to see their technical work make a direct impact.
Key Responsibilities
- Build and optimise data pipelines and data models to support research and leadership analytics
- Translate technical requirements into practical, high-quality specifications
- Develop and deploy machine learning models end-to-end
- Collaborate with data scientists, researchers, and architects to bring algorithms to production
- Maintain strong communication with cross-functional teams to ensure alignment between technical and business goals
- Work on LLM models
About You
- Strong experience with Python, TensorFlow, and/or PyTorch
- Hands-on knowledge of SQL and experience building data models and data warehouses
- Exposure to AWS (not essential, but a plus)
- Background in machine learning and end-to-end pipeline development
- Excellent communication skills – comfortable working with both technical and non-technical stakeholders
- Ideally some experience from a consultancy or similarly fast-paced, analytical environment
What’s in It for You
- Salary of €60,000-€65,000 + holiday allowance
- Opportunity to shape the future of leadership analytics in a globally respected firm
- Collaborative, international environment with exposure to cutting-edge AI and data science projects
- Hybrid setup: 3 days per week in the Amsterdam Zuid office, minimum 1 day required
Interview Process
3 stages designed to assess both technical capability and cultural fit.
To Apply for this Job Click Here
Director of Data Science
San Francisco
$250000 - $280000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
Director of Data Science – Pricing, Lead Scoring & Personalization
Location: San Francisco (Remote Eligible)
Salary: $250-280k base + equity
We are looking for a Director of Data Science to lead a high-impact team focused on pricing optimization, lead scoring, and customer personalization for a rapidly growing travel platform backed by top investors. This role is ideal for a data science leader who can define strategy, develop predictive models, and drive measurable business impact through advanced analytics and machine learning.
Key Responsibilities:
- Lead and scale a high-performing team of data scientists and analysts, fostering a culture of experimentation, collaboration, and innovation.
- Develop dynamic pricing models that optimize revenue, improve conversion rates, and enhance market competitiveness.
- Enhance lead scoring and customer personalization by building predictive models that identify high-value leads, optimize sales funnels, and improve user experiences.
- Design and analyze A/B tests, causal inference models, and other experimentation techniques to measure and optimize product, marketing, and operational decisions.
- Establish frameworks for data quality, governance, and self-service analytics to ensure consistency and accessibility across the company.
- Collaborate with Product, Finance, Marketing, Sales, and Operations to define key business metrics, analyze performance, and provide strategic recommendations to executive leadership.
Qualifications:
- 10+ years of experience in data science or analytics, including at least 5 years in leadership roles.
- Expertise in predictive modeling, dynamic pricing, and lead scoring using machine learning and statistical methods.
- Strong experience with SQL, Python, R, and BI tools such as Looker, Tableau, or Sigma.
- Proven ability to translate data insights into business strategy and influence executive stakeholders.
- Deep knowledge of A/B testing, experimentation, and customer segmentation.
- Industry experience in B2B SaaS or travel is a strong plus.
- Bachelor’s degree in a technical field required; Master’s or MBA preferred.
This is an opportunity to shape the data science strategy at a fast-growing company, driving decisions that will transform pricing, customer engagement, and business growth.
To Apply for this Job Click Here
Director of Data Science
San Francisco
$250000 - $300000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
Job Title: Director of Data Science – Biopharma Commercial Analytics
Location: Hybrid – San Francisco Bay Area
Salary: $250-300k base + bonus + equity
Drive the Commercial Data Science Strategy for a High-Growth Digital Health Innovator
Join a mission-driven health tech company redefining how the biopharma industry uses data to drive access, adherence, and market success. This is a unique opportunity to lead the data science function at a fast-scaling, venture-backed startup and shape the next generation of commercial analytics tools and ML-powered insights.
The Role
As Director of Data Science, you’ll lead a team of Data Scientists and Analytical Data Engineers responsible for delivering impactful analytics and machine learning solutions across the commercial lifecycle. You’ll operate as a strategic partner across Product, Customer Experience, and Go-to-Market teams, influencing everything from AI product features to patient access strategies.
Key Responsibilities:
- Build, mentor, and scale a high-performing data science team with a focus on commercialization in the biopharma space
- Lead the development of predictive models and ML algorithms to solve problems in Market Access, Patient Services, and Field Force Optimization
- Own the architecture, data models, and pipelines supporting scalable advanced analytics in a multi-tenant SaaS environment
- Partner with Product and Commercial leaders to translate client needs into intelligent analytics tools and embedded insights
- Present findings and influence decisions at the VP and executive level, internally and with client stakeholders
- Ensure code quality, security, and compliance across deployed models and analytics products
- Monitor trends in commercial analytics, generative AI, and regulatory standards to drive innovation
Your Background
Required Experience:
- 7+ years in biopharma or life sciences commercial analytics, including direct experience in Market Access, Commercial Ops, or Patient Services
- Advanced expertise in machine learning techniques (e.g., regression, classification, forecasting, NLP, A/B testing) applied to real-world commercial use cases
- Proficient in Python and SQL; experience with Snowflake, dbt, and Snowpark highly valued
- Strong understanding of data sets common to biopharma (specialty pharmacy, claims, HCP targeting, CRM, etc.)
- 3+ years managing and scaling high-impact Data Science teams in high-growth or enterprise health tech environments
- Proven record of driving measurable business outcomes through ML/AI-powered solutions
- Excellent cross-functional communication skills; ability to bridge technical depth with commercial strategy
- M.S. or Ph.D. in a quantitative discipline (e.g., Data Science, Engineering, Statistics, Computer Science)
Preferred Qualifications:
- Familiarity with HIPAA, SOC2, HITRUST, or other healthcare regulatory frameworks
- Experience working in AWS-based cloud environments
- Exposure to LLMs, agentic AI frameworks, or AI-enhanced product features
- Background in specialty data integration (e.g., hub services, reimbursement workflows)
What’s On Offer
- Executive-level role shaping the analytics vision for a fast-scaling digital health company
- Competitive compensation, performance bonus, and equity in a high-growth startup
- High-impact work that directly improves patient outcomes and access
- Collaborative and mission-driven culture at the intersection of healthcare and AI
- Opportunity to influence product strategy and drive adoption of next-generation commercial analytics tools
To Apply for this Job Click Here
Data Scientist
Nottingham
£55000 - £65000
+ Data Science & AI
PermanentNottingham, Nottinghamshire
To Apply for this Job Click Here
Data Scientist / AI Engineer
Nottingham-based (2 days a week)
£60K
We are working with a AI start up who transform leading research into AI technologies, solving meaningful problems for clients in the retail and healthcare sectors.
What We Do
Retail: Promotions, pricing, and forecasting – building scalable AI systems to automate and optimise decision-making.
Healthcare: Research-driven AI projects with open problem spaces – early-stage innovation and experimentation.
We’ve built AI systems for retail clients and are now focusing on making these solutions repeatable and deployable across industries.
Essential Skills
- Strong programming skills in Python
- Solid understanding of SQL and data manipulation
- Background in Mathematics, Statistics, or Computer Science (MSc or PhD preferred)
- Experience building or deploying machine learning models
- Ability to work in a fast-paced, collaborative startup environment
To Apply for this Job Click Here
QA Engineer – AI projects
€60000 - €63000
+ Data Science & AI
PermanentNederland
To Apply for this Job Click Here
QA Engineer (AI & Machine Learning) – Healthcare Startup
Location: Eindhoven
Employment Type: Full-time
Salary: Competitive + Equity Options
About Us
We’re a fast-growing healthcare startup on a mission to transform how clinical decisions are made through the power of artificial intelligence. The AI-driven platform helps clinicians deliver faster, more accurate diagnoses – improving patient outcomes and saving lives.
They are now looking for a QA Engineer with a deep interest in AI systems and machine learning validation to join our passionate, cross-functional team.
The Role
As our QA Engineer, you’ll take ownership of the testing strategy and quality assurance process for our AI products – from data pipelines to model outputs and end-user interfaces. You’ll work closely with data scientists, ML engineers, and clinicians to ensure our algorithms are safe, robust, and trustworthy.
What you’ll do:
- Design and implement automated and manual test frameworks for AI and ML components.
- Develop evaluation protocols to assess model accuracy, fairness, and performance.
- Validate data quality, preprocessing pipelines, and integration points with clinical systems.
- Collaborate with regulatory and compliance teams to ensure testing meets healthcare and AI safety standards (e.g. MHRA, ISO 13485, GxP).
- Build monitoring tools for post-deployment AI behaviour and model drift.
- Champion a culture of “quality-first” within the product and engineering teams.
About You
You’re a detail-oriented QA professional who thrives on solving complex problems and believes in the power of AI to make healthcare better – but only if it’s built and tested responsibly.
You’ll bring:
- 3+ years’ experience in software QA, with at least 1 year focused on AI, ML, or data-driven systems.
- Solid understanding of Python, CI/CD pipelines, and test automation frameworks (e.g. PyTest, Robot Framework, or Cypress).
- Experience testing data pipelines, APIs, and model inference endpoints.
- Familiarity with AI metrics (precision, recall, ROC AUC, etc.) and validation methodologies.
- Strong communication skills and the ability to collaborate with data scientists and clinicians alike.
- Bonus: knowledge of healthcare data standards (FHIR, HL7) or regulatory frameworks for AI in medical devices.
Why Join Us
- Be part of a mission-driven startup tackling one of healthcare’s biggest challenges.
- Work on cutting-edge AI systems that directly impact patient care.
- Flat hierarchy, open culture, and plenty of room to innovate.
- Continuous learning opportunities – from ML explainability to regulatory AI testing.
- Flexible hybrid/remote working setup.
To Apply for this Job Click Here
Senior Data Scientist
United States
$160000 - $190000
+ Data Science & AI
PermanentUnited States Virgin Island
To Apply for this Job Click Here
SENIOR DATA SCIENTIST
Remote in the United States — Candidates must be located in the United States
$160,000 – $190,000 Total Compensation
Full time permanent position
The Company:
This company serves as an online program manager, assisting universities in converting traditional brick-and-mortar programs into accelerated online formats. They handle digital marketing, application support, and online marketing to attract and retain students, providing continuous support once enrolled. In this role, you will need end-to-end machine learning model-building experience. The best candidate will be impact-oriented, driven, ambitious, and entrepreneurial, with a growth mindset focused on personal and peer development.
Job Responsibilities:
- Lead and deliver high-impact data science initiatives across marketing analytics, including marketing mix modeling (MMM), Google Ads optimization, and attribution modeling.
- Support and expand ongoing projects in churn prediction, lead scoring, and customer segmentation to drive measurable business outcomes.
- Partner closely with the Head of Innovation, senior leadership, and cross-functional teams to identify opportunities for AI/ML application and operationalize solutions into the business.
- Own the end-to-end lifecycle of data science projects – scoping, experimentation, model development, and delivery – with a focus on actionable impact.
- Mentor and guide teammates, with a clear growth path into management and eventual responsibility for direct reports.
Essential Skills:
- Proven track record of delivering production-level machine learning models and advanced analytics solutions that drive business impact.
- Hands-on expertise in Python, SQL, and Databricks (or similar platforms).
- Strong background in marketing analytics (MMM, attribution modeling, paid media optimization, customer segmentation) and experience with churn prediction or lead scoring.
- Ability to translate complex analyses into clear insights for technical and non-technical stakeholders.
- Experience leading workstreams or teams, with the ability to grow into a formal people management role.
- Excellent communication, collaboration, and problem-solving skills with a bias toward action and measurable results.
BENEFITS:
A competitive base salary of $160,000-$190,000 total compensation + benefits
To Apply for this Job Click Here
Senior Data Scientist
Dallas
$160000 - $200000
+ Data Science & AI
PermanentDallas, Texas
To Apply for this Job Click Here
LEAD DATA SCIENTIST (Future Team Lead/Manager)
REMOTE – US
$180,000 – $200,000 BASE SALARY
ABOUT THE COMPANY
We’re a global technology-driven education company helping institutions bring programs online and supporting students from enrollment through completion.
ABOUT THE ROLE
We’re seeking a Data Scientist to drive impact on enrollment and retention through projects like churn prediction, lead scoring, attribution, and media mix modeling. You’ll start as an individual contributor with a clear path to step into a Team Lead/Manager role within 6 months.
RESPONSIBILITIES
- Lead data science projects in marketing (lead scoring, churn prediction, attribution, segmentation, MMM, digital ads optimization)
- Collaborate with marketing stakeholders to turn business needs into data-driven solutions
- Build, test, and deploy predictive models that deliver clear business outcomes
- Communicate project results and impact effectively to non-technical audiences
TECH/TOOLS:
- Languages: Python, SQL
- Cloud & Tools: Databricks & AWS, GCP or Azure
- Focus Areas: Marketing attribution, customer segmentation, predictive modeling
What We’re Looking For
- 7-10 years of experience in Data Science or Analytics Data Science
- Proven expertise in marketing-focused data science (MMM, attribution, segmentation, ad performance)
- Strong track record of demonstrating business impact in past projects
- Excellent communication skills to translate insights into business terms
- Leadership potential – comfortable starting as an IC but eager to grow into management
Why You’ll Love It Here
This is a rare opportunity to combine hands-on data science work with a clear growth path into leadership. You’ll join a mission-driven EdTech company making higher education more accessible while shaping the future of a growing data science team. Your work will directly influence student success at scale.
To Apply for this Job Click Here
Senior Data Scientist – Search & Recommendations
San Francisco, CA
$160000 - $190000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
SENIOR DATA SCIENTIST – SEARCH AND RECOMMENDATIONS
SAN FRANCISCO BAY AREA (HYBRID)
$160,000 – $190,000 BASE SALARY + EQUITY
ABOUT THE ROLE
We’re seeking a Data Scientist II to drive next-generation personalization and discovery for a fast-growing social commerce marketplace. You’ll partner with Machine Learning Engineers and product teams to design, build, and deploy models that impact millions of daily buyers and sellers. This is a high-impact, hands-on position ideal for someone passionate about transforming large-scale data into measurable business outcomes.
KEY RESPONSIBILITIES
- Model Development: Build and refine recommendation, personalization, and ranking models that scale to millions of users and hundreds of thousands of new listings each day.
- Experimentation: Design and analyze A/B tests, iterating on metrics such as click-through rate, conversion, and listing quality.
- Collaboration: Work closely with MLEs to move models from prototype to production, ensuring performance and reliability.
- Data & Insights: Explore large-scale marketplace data to identify trends, create features, and improve model accuracy.
- Cross-Functional Impact: Partner with product, engineering, and analytics stakeholders to translate business needs into technical solutions.
REQUIREMENTS
- 3+ years of applied data science or machine learning experience
- Proficient in Python and deep learning frameworks (PyTorch or TensorFlow)
- Hands-on with recommendation, ranking, or personalization models at consumer scale
- Skilled in working with high-volume data and deploying production ML systems
- Knowledge of full ML lifecycle: development through monitoring
- Familiar with modern data infrastructure (Databricks, Feature Stores) and cloud platforms (GCP/AWS)
Why Join
- You’ll join an expanding AI/ML team that’s scaling rapidly to support multiple product squads, offering opportunities to work on cutting-edge projects and deepen your technical expertise. Expect mentorship from senior staff scientists, visibility across teams, and the chance to shape personalized shopping experiences for millions of global users.
To Apply for this Job Click Here
Lead Data Scientist
City of London
£100000 - £135000
+ Data Science & AI
PermanentCity of London, London
To Apply for this Job Click Here
Lead/Principal Data Scientist
London – 3 days a week
Up to £135,000
About the Company
We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with data science and machine learning. This is a unique opportunity to join a company that partners directly with portfolio companies to drive measurable operational and financial performance.
They’re now hiring a Lead/Principal Data Scientist to lead machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely tied to commercial outcomes.
This role is ideal for someone who enjoys solving complex, ambiguous business problems using data science, and wants to work at the intersection of technology, investment, and strategy.
Key Responsibilities
- Translate complex business problems into measurable data science solutions that deliver commercial value
- Lead the design, development, and deployment of predictive and optimisation models across multiple industries
- Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment
- Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions
- Act as a technical lead within project teams, mentoring mid-level data scientists and guiding model design choices
- Communicate findings and strategic insights to both technical and non-technical stakeholders
Requirements:
You’re an experienced data scientist with a proven track record of using machine learning to solve real-world business challenges. You’re just as comfortable in Python as you are in a boardroom, and you’re motivated by measurable impact, not just model accuracy.
- Proven experience applying data science in commercial settings
- Proven ability to lead data science projects from concept to production
- Deep understanding of statistical modelling, predictive analytics, and optimisation techniques
- Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders
- Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university
- Excellent communication skills and a collaborative mindset
Please note: This role cannot offer VISA sponsorship
To Apply for this Job Click Here
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News & Blog
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Client and
candidate
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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.
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
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
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 – 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 – 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
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
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.
