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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.
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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.
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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.
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Harnham are a specialist Data Science recruitment business, specializing in finding you your next data science job!
Principal AI Engineer
€60000 - €100000
+ Data Science & AI
PermanentNederland
To Apply for this Job Click Here
Job Opportunity: Principal AI Engineer | Remote or Hybrid
Location: Remote or Hybrid (HQ in [City])
Role Type: Full-Time
Seniority: Principal / Expert
Start Date: ASAP
About the Company
The company is expanding its AI capabilities to build innovative, intelligent systems that power next-generation products and experiences. With an ambitious roadmap centered on generative AI, advanced machine learning, and large-scale automation, they are seeking a highly experienced Principal AI Engineer to lead technical strategy, guide system architecture, and drive innovation across the organization.
This is a pivotal role that will shape the long-term AI direction, influence key engineering decisions, and deliver solutions that have significant impact on the company’s technical evolution.
The Role
The Principal AI Engineer will act as a hands-on technical leader, responsible for designing, developing, and scaling advanced AI systems. The role involves high-level architectural thinking, applied research, and deep technical execution, including oversight of model development, evaluation, deployment, and optimization.
The successful candidate will collaborate with engineering, data, and product stakeholders to define the AI vision while also mentoring teams and setting engineering standards that enable excellence and innovation.
Key Responsibilities
- Lead the design and development of complex AI systems, including generative AI models, LLM-powered applications, and large-scale machine learning infrastructures.
- Define and drive the company’s AI technical strategy, ensuring alignment with business goals.
- Oversee model experimentation, fine-tuning, evaluation, and deployment into production environments.
- Set best practices for ML engineering, model lifecycle management, security, and governance.
- Provide expert guidance on architecture decisions across data, ML, and application layers.
- Collaborate with cross-functional teams to identify high-impact AI opportunities and translate them into technical solutions.
- Mentor and support engineering teams, elevating technical capabilities across the organization.
- Stay ahead of industry developments, research breakthroughs, and emerging AI frameworks.
Required Experience
- 7+ years of experience in AI/ML engineering, with a strong track record of delivering production-grade AI systems.
- Deep expertise in Python and modern ML frameworks (PyTorch, TensorFlow, JAX).
- Extensive hands-on experience working with large language models, generative AI architectures, and related tooling.
- Strong knowledge of model serving, orchestration, distributed training, and scalable inference systems.
- Experience architecting and deploying AI solutions on cloud platforms (AWS/GCP/Azure).
- Proven ability to lead complex AI initiatives, influence technical direction, and guide multidisciplinary teams.
- Strong understanding of data engineering, MLOps, model governance, and ML lifecycle best practices.
- Ability to thrive in a fast-paced environment and navigate ambiguous, greenfield challenges.
What the Company Offers
- A strategic role with significant influence over the AI roadmap and technical foundations.
- Competitive salary, equity, and comprehensive benefits.
- Flexible remote or hybrid working environment.
- Opportunities to work with state-of-the-art AI technologies and contribute to groundbreaking products.
- A culture that values innovation, autonomy, and continuous learning.
To Apply for this Job Click Here
Lead AI Engineeer
€100000 - €101000
+ Data Science & AI
PermanentNederland
To Apply for this Job Click Here
Job Opportunity: Lead AI Engineer | Remote | New AI Team
Location: Fully Remote
Role Type: Full-Time
Seniority: Lead / Senior
Start Date: ASAP
About the Company
The company is building a brand-new AI function to power the next generation of intelligent products and automation capabilities. With a focus on generative AI, large language models, and cutting-edge applied research, they are searching for a seasoned Lead AI Engineer to help architect, develop, and scale core AI capabilities across the business.
This is an opportunity to join at the ground floor, shape the technical direction of the AI stack, and work with a highly collaborative team committed to innovation.
The Role
The Lead AI Engineer will take ownership of designing, building, and deploying advanced AI systems with a strong focus on generative AI and LLM-based applications. This role combines hands-on technical work with leadership responsibilities, including guiding engineering practices, influencing product strategy, and mentoring team members as the AI team grows.
Key Responsibilities
- Architect, build, and deploy generative AI solutions, including LLM-powered applications and retrieval-augmented systems.
- Lead the technical direction of AI projects, ensuring scalability, performance, and reliability.
- Develop high-quality, production-ready Python code and machine learning pipelines.
- Evaluate, fine-tune, and integrate large language models (open-source and API-based).
- Collaborate with cross-functional teams to define AI use cases and translate them into robust engineering solutions.
- Implement best practices for model lifecycle management, observability, and continuous improvement.
- Mentor junior engineers and contribute to shaping a world-class AI engineering culture.
- Stay up to date with research, tooling, and emerging capabilities in the GenAI ecosystem.
Required Experience
- 5+ years of professional experience in AI/ML engineering, with a strong background in Python (senior-level proficiency required).
- Hands-on experience fine-tuning, adapting, and deploying large language models (e.g., Llama, GPT-based models, Mistral, etc.).
- Strong understanding of generative AI architectures, prompt engineering, and vector search/RAG systems.
- Experience building production-grade AI applications and data pipelines.
- Proficiency with modern ML frameworks (PyTorch, TensorFlow, JAX) and model-serving frameworks (FastAPI, Triton, Ray, etc.).
- Solid knowledge of cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes).
- A proven ability to lead technical projects and mentor other engineers.
- Comfort working in a startup or greenfield environment where autonomy and initiative are key.
What the Company Offers
- Fully remote role with flexible working arrangements.
- High ownership in shaping AI strategy, tooling, and technical foundations.
- Competitive salary + equity/benefits package.
- Opportunity to work with cutting-edge GenAI techniques and contribute to innovative products.
- A collaborative environment that values experimentation and engineering excellence.
To Apply for this Job Click Here
ML Ops Engineer
Amsterdam
€60000 - €65000
+ Data Science & AI
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
Job Opportunity: MLOps Engineer (Full-Lifecycle) | Early-Stage Startup
Location: Remote or Hybrid (HQ in [City])
Role Type: Full-Time
Start Date: ASAP
About the Company
The company is a small, fast-moving startup building [short description of product/mission]. With a lean, collaborative team focused on delivering real value through AI, they are seeking an experienced MLOps Engineer to own and optimize their end-to-end machine learning pipeline as they scale.
The Role
As the company’s first dedicated MLOps hire, the successful candidate will be responsible for establishing and maintaining the full MLOps lifecycle-from data ingestion and experimentation to deployment, monitoring, and continuous optimization. They will work closely with ML engineers and the product team to ensure models move into production smoothly, reliably, and efficiently.
Responsibilities
- Designing, building, and maintaining scalable ML pipelines (training, validation, deployment).
- Developing CI/CD workflows for ML models and data pipelines.
- Implementing model and data versioning, lineage tracking, and reproducibility best practices.
- Managing infrastructure for training and inference (cloud, containers, orchestration).
- Building monitoring systems for data drift, model performance, and operational reliability.
- Optimizing cost, performance, and automation across the ML lifecycle.
- Collaborating with ML engineers to transition prototypes into production-ready systems.
- Promoting engineering excellence, documentation, and observability.
Qualifications
- 3+ years of industry experience in MLOps, ML Engineering, or DevOps for ML systems.
- Proven experience managing the full ML lifecycle in production environments.
- Strong experience with cloud platforms (AWS/GCP/Azure) and infrastructure-as-code tools (Terraform, CloudFormation).
- Hands-on expertise with containerization and orchestration (Docker, Kubernetes).
- Familiarity with ML pipeline tools (Kubeflow, Airflow, MLflow, Vertex AI, SageMaker, etc.).
- Strong programming skills in Python and experience with CI/CD tools (GitHub Actions, GitLab CI, etc.).
- Understanding of monitoring, tracing, alerting, and model observability tools.
- A startup mindset: autonomous, resourceful, and comfortable building systems from scratch.
What the Company Offers
- High ownership and the opportunity to shape the ML infrastructure from the ground up.
- A collaborative team culture that values creativity, speed, and experimentation.
- Competitive salary + equity package.
- Flexible work environment.
- A chance to have significant impact on a product used by real customers.
To Apply for this Job Click Here
Applied Scientist
New York
$60 - $75
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
What You’ll Do
Experiment and Develop
-
Lead the full model development lifecycle, from research and prototyping to production deployment.
-
Apply best practices for reproducibility, model governance, and high-quality software delivery.
Collaborate
-
Work closely with product, engineering, and research teams across multiple regions.
-
Mentor teammates, share knowledge, and contribute to a culture of technical excellence.
Deliver
-
Translate complex business needs into scoped, actionable ML and NLP projects.
-
Ensure timely, well-managed delivery in a dynamic, fast-paced environment.
Innovate
-
Explore new methods, frameworks, and model architectures.
-
Drive experimentation with emerging NLP, IR, and LLM techniques.
Inspire
-
Communicate findings clearly to both technical and non-technical audiences.
-
Help guide enterprise adoption of modern AI technologies.
Basic Qualifications
-
Master’s degree in a relevant field or equivalent applied experience.
-
3+ years building NLP, IR, or ML systems from inception through production.
-
Strong software engineering skills for prototyping and iterative development.
-
Demonstrated experience transforming research concepts into functional prototypes with clear objectives.
-
Ability to collaborate effectively within diverse, cross-functional teams.
-
Hands-on exploration of novel NLP or IR models to address real-world challenges.
-
Experience thriving in fast-paced, agile environments.
-
Excellent communication skills and strong data-driven decision making.
Technical Requirements
-
Solid understanding of classical ML methods for NLP tasks.
-
Strong knowledge of deep learning approaches, including transformer-based architectures.
-
Familiarity with the internals and behavior of large language models.
-
Experience working on text-heavy NLP projects.
-
Practical experience with Generative AI techniques such as:
-
prompt engineering
-
in-context learning
-
chain-of-thought prompting
-
prompt optimization and evaluation
-
controlled generation
-
function calling
-
-
Experience with RAG architectures, model fine-tuning, and creating training datasets.
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Exposure to agentic frameworks (LangGraph, AutoGen, Semantic Kernel, etc.).
-
Proficiency in Python, Git, and cloud environments (AWS or Azure) for model development and deployment.
-
Experience with rapid prototyping, lightweight UIs, and agile iteration.
Preferred Qualifications
-
5+ years designing NLP, IR, or ML systems in industry or research settings.
-
Background in building search or Q&A systems across large document corpora.
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Experience with long-document summarization or high-volume text processing.
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Familiarity with legal-tech or document-heavy enterprise workflows.
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Publications at major conferences such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, ICML, or similar.
To Apply for this Job Click Here
Contract role – Junior analyst – Dutch speaking
Amsterdam
€24000 - €25000
+ Data Science & AI
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
Graduate Data & Business Support – 6-Week Contract
Global Agency | Amsterdam
Salary: 2,800 monthly
Are you a recent graduate looking to kick-start your career within a fast-paced, international environment? This global agency, based in the heart of Amsterdam, is seeking an enthusiastic
Graduate Data & Business Support Assistant to join the team on a 6-week contract.
In this role, you will support our business operations and client-facing teams by working across data analysis, reporting, and administrative tasks. You’ll work closely with senior team members to ensure information is well-organised, accurate, and clearly presented. This is an excellent short-term opportunity to gain hands-on experience within a respected global organisation while developing valuable professional skills.
What you’ll be doing
- Assisting with data collection, organisation, and basic analysis
- Creating and maintaining spreadsheets in Excel, including data entry, formatting, and simple reporting
- Preparing documents, briefs, and internal materials using Word
- Supporting teams with general administrative duties to keep projects running smoothly
- Helping ensure data accuracy and consistency across multiple sources
- Collaborating with colleagues across departments in a dynamic, multicultural environment
What we’re looking for
- A recent graduate or early-career professional eager to learn
- Strong working knowledge of Microsoft Excel and Word
- Excellent attention to detail and organisational skills
- Ability to manage multiple tasks and meet deadlines
- A proactive mindset with strong communication abilities
- Fluent in English (additional languages are a bonus)
What we offer
- A 6-week contract within a globally recognised agency
- Hybrid working possibilities (depending on team schedules)
- A collaborative and supportive team environment
- The chance to gain experience in an international office in Amsterdam
- Exposure to real projects and the opportunity to build your professional portfolio
If you are organised, analytical, and ready to step into a global business environment, we’d love to hear from you. Apply now and take the next step in your career with us!
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
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
Contract role – Junior analyst
Amsterdam
€24000 - €25000
+ Data Science & AI
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
Graduate Data & Business Support – 6-Week Contract
Global Agency | Amsterdam
Salary: 2,800 monthly
Are you a recent graduate looking to kick-start your career within a fast-paced, international environment? This global agency, based in the heart of Amsterdam, is seeking an enthusiastic
Graduate Data & Business Support Assistant to join the team on a 6-week contract.
In this role, you will support our business operations and client-facing teams by working across data analysis, reporting, and administrative tasks. You’ll work closely with senior team members to ensure information is well-organised, accurate, and clearly presented. This is an excellent short-term opportunity to gain hands-on experience within a respected global organisation while developing valuable professional skills.
What you’ll be doing
- Assisting with data collection, organisation, and basic analysis
- Creating and maintaining spreadsheets in Excel, including data entry, formatting, and simple reporting
- Preparing documents, briefs, and internal materials using Word
- Supporting teams with general administrative duties to keep projects running smoothly
- Helping ensure data accuracy and consistency across multiple sources
- Collaborating with colleagues across departments in a dynamic, multicultural environment
What we’re looking for
- A recent graduate or early-career professional eager to learn
- Strong working knowledge of Microsoft Excel and Word
- Excellent attention to detail and organisational skills
- Ability to manage multiple tasks and meet deadlines
- A proactive mindset with strong communication abilities
- Fluent in English (additional languages are a bonus)
What we offer
- A 6-week contract within a globally recognised agency
- Hybrid working possibilities (depending on team schedules)
- A collaborative and supportive team environment
- The chance to gain experience in an international office in Amsterdam
- Exposure to real projects and the opportunity to build your professional portfolio
If you are organised, analytical, and ready to step into a global business environment, we’d love to hear from you. Apply now and take the next step in your career with us!
To Apply for this Job Click Here
Data Scientist (Experimentation)
London
£550 - £600
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Contract Role: Data Scientist – Pricing, Promotions & Experimentation
Rate: £550-£600 per day (Inside IR35)
Location: Hybrid – 1 day per week onsite
Duration: 3 months initially
Overview
A leading organisation in the Online Marketplace sector is seeking a highly analytical Data Scientist to drive pricing optimisation, promotional effectiveness, and experimentation strategies. The role focuses on delivering commercial value through data-driven insights, robust modelling, and structured experimentation frameworks that support strategic decision-making across the business.
Key Responsibilities
-
Promotional Analysis & Strategy:
-
Conduct deep-dive analyses of promotional activity to uncover trends, performance drivers, and improvement opportunities.
-
Develop and test data-driven promotional strategies aimed at boosting customer engagement, operational efficiency, and commercial growth.
-
Measure promotional effectiveness, report on campaign performance, and provide optimisation recommendations.
-
-
Pricing Optimisation:
-
Build and refine pricing models to balance revenue growth, profitability, and competitive positioning across products and customer segments.
-
Use scenario modelling to assess the commercial impact of pricing decisions and propose optimal strategies.
-
Required Skills & Experience
-
Strong expertise in data analysis and applied statistical methods (e.g., regression, hypothesis testing).
-
Proven experience using data to drive measurable commercial outcomes such as revenue uplift, margin improvement, or market share growth.
-
Hands-on knowledge of pricing optimisation techniques and experimentation frameworks (e.g., elasticity modelling, A/B testing).
-
Ability to structure complex analytical problems, translate insights into actionable recommendations, and influence decision-making across cross-functional teams.
-
Proficiency in SQL, Python, R, or similar analytical toolsets.
To Apply for this Job Click Here
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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.
Client /
Director of Customer Data Science – Apparel
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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We’ve been collaborating with Harnham to recruit some key positions for our company, and they have been incredible partners. They team has been great and efficient. They understood our needs perfectly and provided us very talented candidates. We'll keep collaborating with them in the future. Thank you for your excellent job!
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Candidate – Chief Data Officer
It was a real treat to work with Harnham. My recruiter consistently went above and beyond to ensure that I navigated through the recruitment process as smooth as possible. I had been in contact with other professional at Harnham in the past and I can attest that the level of professionalism is always top-notch.
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Candidate – Digital Media and Analytics
I've recently got a short-term contract role through Harnham, and things couldn't have gone better! My recruiter was incredibly helpful throughout the entire process. They also provided incredible admin support so that I could focus on the actual job in hand, rather than having to spend too much time dealing with these matters.
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Candidate – 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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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.
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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.
