DATA SCIENCE, ML & AI FOCUS
Specialist Focus Areas
At Harnham, we specialize in the following key areas within Data Science, Machine Learning, and AI:
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- AI and Machine Learning: Developing intelligent systems that can learn and adapt.
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- AI Architect: Designing AI frameworks and solutions that integrate seamlessly with existing systems.
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- AI Engineering: Building and implementing AI models and algorithms.
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- Deep Learning: Utilizing neural networks to model complex patterns in data.
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- Generative AI Engineers: Creating AI systems that can generate new data or content.
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- ML Engineering: Building robust and scalable machine learning systems.
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- ML Ops: Managing and automating machine learning workflows and operations.
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- ML Platforming: Developing platforms that support machine learning processes and operations.
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- NLP/LLM: Working with natural language processing and large language models to interpret and generate human language.
- ML Applied Science: Applying machine learning techniques to solve real-world problems.
JOBS
LATEST DATA
SCIENCE OPPORTUNITIES
With over 17 years of experience, Harnham has established itself as the leading global authority in Data and AI Recruitment
Data Scientist
Liverpool
£50000 - £55000
+ Data Science & AI
PermanentLiverpool, Merseyside
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Data Scientist
Liverpool | Up to £55,000 + Benefits
Join a growing Data Science team within a large UK organisation investing heavily in Data & AI. This is an opportunity to work on customer-focused machine learning projects, help scale Data Science capabilities, and deliver models that create real commercial impact.
The Company
They are building a modern Data Science function as part of a wider data transformation programme. With increasing investment in customer analytics and personalisation, the team is focused on developing scalable solutions that support business growth. The culture is collaborative, pragmatic, and centred on delivering value through production-ready machine learning.
The Role
- Build and deploy predictive and statistical models
- Develop customer segmentation, customer lifetime value, and churn models
- Deliver forecasting and customer analytics solutions
- Work across the full Data Science lifecycle from problem definition to deployment
- Partner with analysts, engineers, and business stakeholders
- Present insights and recommendations to non-technical audiences
- Support the development of Data Science best practices and capabilities
Your Skills & Experience
- Strong commercial Data Science experience
- Excellent Python and SQL skills
- Experience with machine learning and statistical modelling
- Proven experience deploying models into production
- Strong stakeholder management and communication skills
- Exposure to Azure or GCP is advantageous
- Experience with customer analytics or forecasting is beneficial
What They Offer
- Salary up to £55,000, with flexibility for exceptional candidates
- Hybrid working with 3 days per week onsite in Liverpool
- Exposure to high-impact machine learning projects
- Opportunity to help shape a growing Data Science function
- Staff discount, pension, wellbeing support, life assurance, and additional benefits
How to Apply
If you’re a Data Scientist with strong Python, SQL, and machine learning experience looking to make a tangible business impact, please apply today.
To Apply for this Job Click Here
Data Scientist
London
£70000 - £90000
+ Data Science & AI
PermanentLondon
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Data Science Engineer
London 2-3 days
Join a newly established R&D function building data-driven and AI-enabled products. This is a hands-on role for someone who enjoys combining Data Science and Data Engineering to create scalable data solutions with real business impact.
The Company
They are investing heavily in data and AI, with a small multidisciplinary team focused on building analytical products from concept through to production. You’ll work in a collaborative environment with plenty of ownership and exposure to cutting-edge technologies.
The Role
- Build scalable data pipelines using Microsoft Fabric and Databricks
- Develop machine learning solutions across forecasting, anomaly detection, recommendation systems, and information extraction
- Work with structured, semi-structured, and document-heavy datasets
- Create reusable data assets and analytical products
- Contribute to testing, APIs, CI/CD, and production deployments
- Partner with stakeholders to solve business challenges through data
Your Skills & Experience
- Strong experience across both Data Science and Data Engineering
- Hands-on expertise with Microsoft Fabric and Databricks
- Advanced Python and SQL skills, with PySpark desirable
- Experience building data pipelines and machine learning models
- Knowledge of NLP, entity resolution, or document processing is advantageous
- Strong communication skills and commercial awareness
To Apply for this Job Click Here
Senior Data Scientist
Nashville
$120000 - $140000
+ Data Science & AI
PermanentNashville, Tennessee
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Senior Data Scientist
$120,000-$140,000
Overview
A venture-backed, early-stage technology company is seeking a Data Scientist to lead the development and deployment of advanced measurement, experimentation, and causal inference solutions. This individual will play a critical role in shaping core product capabilities, validating model performance with customer data, and helping translate analytical insights into business impact.
The ideal candidate combines strong quantitative expertise with the ability to communicate effectively across technical, business, and customer-facing environments. This is a highly entrepreneurial opportunity for someone excited about building systems, processes, and products from the ground up.
Key Responsibilities
- Own the design, testing, and optimisation of models that drive product recommendations and insights.
- Translate causal inference and experimentation methodologies from research concepts into production-ready solutions.
- Validate model effectiveness using real-world customer data.
- Lead a critical modelling workstream from development through deployment.
- Partner directly with customers during pilot programmes and proof-of-concept engagements.
- Collaborate with cross-functional teams to improve analytical capabilities and product outcomes.
- Contribute to the continued evolution of the company’s data science and measurement strategy.
Required Qualifications
- PhD strongly preferred; Master’s degree considered in Statistics, Economics, Computer Science, Data Science, or another quantitative discipline.
- Experience deploying causal inference and experimentation solutions in production environments.
- Hands-on expertise with methodologies such as:
- Synthetic Control
- Difference-in-Differences (DiD)
- Double Machine Learning (DML)
- Experience designing and analysing A/B tests and experimentation frameworks.
- Strong Python development and model-building experience.
- Demonstrated ability to build new capabilities, products, frameworks, or functions in emerging or fast-paced environments.
- Excellent communication skills with the ability to explain complex concepts to both technical and non-technical audiences.
- Comfortable interacting with customers and external stakeholders.
Preferred Qualifications
- Background in marketplace, technology, analytics, retail, consumer products, or related data-intensive industries.
- Experience building data ingestion pipelines and data infrastructure.
- Interest or demonstrated potential in product leadership, product strategy, or future product management responsibilities.
- Previous startup or early-stage company experience.
To Apply for this Job Click Here
Senior Data Scientist
Boston
$160000 - $190000
+ Data Science & AI
PermanentBoston, Massachusetts
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Senior Data Scientist
Remote (US) | Up to $190,000 Base + Benefits
A rapidly growing healthcare technology company is hiring multiple Senior Data Scientists to help build and scale machine learning products that directly improve patient access to clinical research and healthcare innovation.
This is a highly visible opportunity for someone who wants to own machine learning models from development through deployment and monitoring while partnering closely with Product, Engineering, and business stakeholders. The team is investing heavily in data science as a core strategic function and is looking for individuals who enjoy solving complex real-world problems through predictive modeling and statistical rigor.
What You’ll Be Working On
- Building predictive models that influence healthcare decision-making
- Developing patient matching and recommendation systems
- Forecasting enrollment and engagement outcomes
- Designing and evaluating machine learning experiments
- Monitoring and improving production model performance
- Partnering with engineering teams to productionize solutions
- Influencing product strategy through data-driven insights
What We’re Looking For
- 5+ years of Data Science experience
- Strong Python and SQL skills
- Experience building and deploying predictive models
- Statistical modeling expertise
- Machine learning production experience
- Strong experimentation and analytical thinking skills
- Ability to communicate complex findings to non-technical stakeholders
Preferred Experience
- Healthcare, life sciences, pharma, insurance, or other regulated industries
- Forecasting, Bayesian methods, or advanced statistical modeling
- Experience monitoring and improving production models
- Startup or high-growth environment experience
Why This Role?
- Fully remote opportunity
- Up to $190,000 base salary
- Meaningful healthcare impact
- Strong leadership visibility
- Opportunity to influence product direction
- End-to-end ownership of machine learning initiatives
- Join a business that has proven product-market fit and is investing heavily in growth
If you’re a Data Scientist who enjoys building models that make it into production and drive measurable business outcomes, we’d love to hear from you.
Apply today or reach out directly for a confidential discussion.
To Apply for this Job Click Here
Staff Product Data Scientist
$190000 - $220000
+ Data Science & AI
PermanentCalifornia
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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
Staff Finance Data Scientist – Consumption Forecasting
San Francisco
$240000 - $300000
+ Data Science & AI
PermanentSan Francisco, California
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Staff Data Scientist, Finance – Consumption Forecasting
Location: San Francisco or New York | Hybrid (3 days per week in office)
Salary: $240-300k base + bonus + equity (RSUs)
This is a rare chance to own forecasting infrastructure at the center of a high-growth, consumption-based developer platform, one that powers some of the world’s most dynamic applications and scales with every developer and enterprise building on it.
As a consumption-based business, forecasting usage across compute, bandwidth, edge, and storage isn’t a support function. It’s foundational to how we plan infrastructure, revenue, and long-term strategy. This role exists to lead that work at the highest level.
What you’ll own
This is a senior individual contributor role with organization-wide impact. You’ll define forecasting methodology, build systems that scale with a rapidly growing platform, and sit at the intersection of Finance, Infrastructure, Product, and GTM with direct visibility to executive leadership.
- Own production revenue forecasting end-to-end: model development, backtesting, deployment, monitoring, and iteration from first principles to live system
- Build forecasting systems that account for usage-based pricing dynamics, consumption patterns, and customer lifecycle across the platform, built for how this business actually works, not retrofitted SaaS models
- Design hierarchical forecasting models across account, cohort, segment, and global aggregate levels, covering operational, quarterly, and long-range planning cycles
- Establish backtesting, monitoring, and explainability standards that make forecast accuracy transparent and defensible
- Build scenario simulation frameworks to evaluate pricing changes, packaging adjustments, and product launches
- Partner with Finance on board-level reporting, with Infrastructure Engineering on capacity planning, and with Product and GTM on adoption curves and usage drivers
- Set forecasting best practices across the broader Data organization
What we’re looking for
- 7+ years in data science, quantitative analytics, or applied statistics at senior or staff level
- Deep expertise in time-series forecasting and statistical modelling in a usage-based or SaaS environment
- Proven track record building and productionizing ML systems at scale
- Strong Python and SQL, with experience on large-scale usage and billing datasets
- Familiarity with probabilistic modelling, hierarchical forecasting, and causal inference
- Experience partnering with Finance or executive leadership on planning cycles
- Comfortable operating autonomously in fast-moving, ambiguous environments
Nice to have
- Background in cloud infrastructure, developer tools, or consumption-based revenue models
- Familiarity with modern data stacks: Snowflake, Delta Lake, dbt, Airflow
- Prior technical mentorship or informal leadership experience
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
Product Owner – Knowledge Graphs
Amsterdam
€60000 - €75000
+ Data Science & AI
PermanentAmsterdam, North Holland
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Product Owner, Knowledge Graphs
Amsterdam (Hybrid) | €70,000 – 75,000 + Benefits
Are you passionate about turning complex legal knowledge into intelligent, scalable digital products?
This is an opportunity to join a forward-thinking organisation at the intersection of LegalTech, Data, and AI, where you will shape the roadmap for a knowledge graph platform that supports legal professionals in making faster, better-informed decisions.
The Company
They are a well-established professional services organisation investing heavily in data and AI-driven innovation. Their teams work on complex information challenges, developing products that transform how knowledge is captured, connected, and consumed.
With a strong focus on emerging technologies, they are building advanced knowledge management capabilities that enable better search, discovery, and insight generation. This role sits within a growing product function with significant visibility and impact across the business.
The Role
As Product Owner, you will lead the development and evolution of a knowledge graph platform designed to connect legal data, documents, expertise, and processes.
Key responsibilities include:
- Own and prioritise the product backlog for knowledge graph and semantic data initiatives
- Translate business and user needs into clear product requirements and user stories
- Work closely with data engineers, knowledge engineers, software developers, and legal subject matter experts
- Define and communicate product vision, roadmap, and delivery priorities
- Drive adoption of graph technologies to improve search, discovery, and knowledge management capabilities
- Balance stakeholder requirements with technical feasibility and strategic objectives
- Monitor product performance and user feedback to inform future enhancements
- Support the delivery of AI and data products that leverage structured knowledge assets
Your Skills & Experience
- Strong commercial experience as a Product Owner, Product Manager, or similar product leadership role
- Experience delivering data, AI, analytics, or knowledge management products
- Understanding of knowledge graphs, semantic technologies, ontology management, or graph databases such as Neo4j
- Ability to engage effectively with both technical and non-technical stakeholders
- Experience gathering requirements and translating them into actionable product roadmaps
- Strong prioritisation and decision-making capabilities
- Familiarity with Agile delivery methodologies and product development best practices
- Interest in LegalTech, professional services, enterprise knowledge management, or information retrieval
What They Offer
- Salary of €70,000 – 75,000 depending on experience
- Performance-related bonus
- Comprehensive benefits package
- Hybrid working model based in Amsterdam
- Exposure to cutting-edge AI, data, and knowledge graph technologies
- Clear career progression within a growing product and innovation function
- Opportunity to influence the direction of a business-critical platform
How to Apply
If you are a Product Owner with experience in knowledge graphs, semantic technologies, or data-driven products and are looking to make a meaningful impact within an innovative legal environment, apply today to learn more.
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Director of GTM Data Science
New York
$210000 - $230000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Director of GTM Data Science
Overview
A growing technology organisation is seeking a senior data leader to define and execute the strategy for Go-To-Market analytics and data science. Reporting into the head of data, this role will lead a team of analysts and data scientists while partnering closely with executive stakeholders across revenue-generating functions.
The successful candidate will be responsible for establishing data-driven decision-making frameworks, governing key business metrics, driving predictive modelling initiatives, and enabling sustainable growth through advanced analytics and experimentation.
Key Responsibilities
Strategic Leadership & Data Strategy
- Partner with senior leaders across sales, marketing, revenue operations, customer success, and finance to align analytics priorities with business growth objectives.
- Develop and own a multi-year GTM analytics and data science roadmap focused on acquisition, retention, expansion, and operational effectiveness.
- Establish governance standards and definitions for critical business metrics, including customer acquisition, customer value, conversion performance, retention, and funnel analytics.
- Translate complex business questions into structured analytical initiatives and prioritise work based on strategic impact and return on investment.
- Influence organisational decision-making through data-driven insights and recommendations.
Data Science & Advanced Analytics
- Provide technical leadership for predictive and statistical modelling initiatives, including:
- Customer lifetime value modelling
- Lead and prospect scoring
- Attribution analysis
- Marketing effectiveness measurement
- Sales prioritisation and propensity modelling
- Guide experimentation programmes using A/B testing, causal inference, and advanced analytical methodologies.
- Partner with operational and technology teams to improve data quality, instrumentation, and measurement capabilities.
- Promote adoption of AI-enabled workflows and modern analytical tools to enhance team productivity and innovation.
- Ensure statistical rigour and best practices through technical reviews, mentorship, and coaching.
Team Leadership & Organisational Impact
- Lead, mentor, and develop a team of analytics and data science professionals.
- Foster a culture of accountability, continuous learning, collaboration, and technical excellence.
- Drive organisational transformation by improving analytical maturity and strengthening cross-functional partnerships.
- Help establish scalable processes, operating models, and frameworks that support business growth and data-driven decision making.
Required Qualifications
- 7+ years of experience in data science, business analytics, revenue analytics, or a related field.
- 3+ years of experience managing and developing analytics or data science teams.
- Strong expertise in B2B SaaS, subscription-based businesses, revenue operations, sales analytics, or marketing analytics.
- Demonstrated success influencing senior executives and business leaders through data-driven recommendations.
- Ability to evaluate and guide advanced analytical approaches, modelling assumptions, and technical implementations.
- Strong proficiency in SQL and the ability to review and assess Python-based analytical solutions.
- Deep knowledge of:
- Machine learning and predictive modelling
- Experimental design and A/B testing
- Statistical analysis
- Causal inference methodologies
- Excellent communication, stakeholder management, and strategic influencing skills.
- Proven ability to thrive in fast-paced, evolving environments with ambiguity and changing priorities.
Preferred Qualifications
- Experience with modern cloud data andanalytics platforms such as:
- Snowflake
- Databricks
- dbt
- Airflow
- Experience implementing measurement frameworks and improving data instrumentation.
- Familiarity with AI-assisted analytics, development tools, and workflow optimisation.
To Apply for this Job Click Here
Director of Data Science
$304242.5 - $425939.5
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Director, Data Science (Customer Experience)
Remote, US | Base to $300,000 + 20% bonus | Occasional Dallas travel
A large not-for-profit health system is hiring a Director of Data Science to lead an established seven-person AI/ML team.
The mandate is simple to state and hard to do: fix the customer experience outside the hospital room. Healthcare gets the inpatient experience broadly right and the outpatient journey broadly wrong. This team exists to close that gap, and leadership has put real budget and real visibility behind it.
This is not reporting work. It is applied machine learning against genuine customer pain points, at the scale of 55+ hospitals, 1,300+ care sites and 13.5M+ patient encounters a year.
What you’ll own
- The enterprise data science roadmap across customer, clinical and operational priorities
- Predictive, prescriptive and optimisation models: forecasting, segmentation, personalisation, recommendation
- Semantic data products that let chat and AI interfaces query for insight conversationally, rather than returning static output
- The unstructured side of the problem. Survey free-text, centre transcripts and voice-of-customer data hold the highest-value signal here, and turning that into something patients actually feel is the core of the job
- Standards for model validation, deployment, monitoring and lifecycle
- The team itself: structure, coaching, hiring, operating rhythm
What we’re looking for
- 12+ years in data science, machine learning or advanced analytics
- 5+ years directly leading a data science or ML team
- Models in production that changed a business, customer or clinical decision, with numbers attached
- Hands-on with unstructured and text data, not just structured tables
- Strong Python and SQL, modern cloud analytical environments
- Exposure to semantic layers, knowledge products or conversational interfaces over analytical data is a strong plus
- Healthcare experience is welcome but genuinely not required. Retail, banking, travel and consumer tech backgrounds map well, provided you can ramp fast on clinical context
Worth being straight about
This organisation cannot match Big Tech on compensation and does not pretend to. The base tops out at $300,000 with a 20% bonus, and there is no flex above it. What it offers instead is scope, ownership, a green field, and work that matters to three million people.
If comp is the only variable that moves you, this will not be the right seat.
Location
Fully remote within the US, with travel to Dallas roughly once a quarter. Unable to hire from California, New York, Washington, Oregon, Hawaii, North Dakota, Rhode Island or Wyoming.
To Apply for this Job Click Here
MLOps Engineer
London
£75000 - £85000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior MLOps Engineer
London (Hybrid) | £75,000 – £85,000 + Bonus + Benefits
This is an opportunity to take ownership of the infrastructure powering a growing AI platform. You’ll work across machine learning, NLP, and emerging AI technologies, helping build scalable systems that support real-world impact.
The Company
A growing AI and data consultancy helping organisations use data and machine learning to improve decision-making and deliver better outcomes. They are investing heavily in their AI platform and expanding their engineering capability.
The Role
- Own and develop the MLOps infrastructure supporting AI services.
- Build and maintain orchestration pipelines using Dagster, Airflow, or Prefect.
- Deploy and manage ML workloads on Kubernetes and cloud platforms.
- Implement CI/CD, observability, and monitoring across production systems.
- Develop infrastructure using Terraform, Bicep, or similar IaC tools.
- Work closely with Data Scientists, ML Engineers, and AI teams to scale deployments.
Your Skills & Experience
- Strong Python software engineering skills.
- Commercial MLOps experience in production environments.
- Hands-on Kubernetes expertise.
- Experience with workflow orchestration platforms.
- Infrastructure as Code and CI/CD experience.
- Understanding of production ML, NLP, or AI systems.
To Apply for this Job Click Here
Head of Data Science
London
£800 - £900
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Head of Data Science Contract Role
Location: London
Day Rate: £850 per day Outside IR35
Working Pattern: Hybrid, 3 days per week onsite in London
This is a unique opportunity to lead a high-impact data science transformation within the pharmaceutical industry. You will be responsible for shaping enterprise-wide data science capabilities, driving the adoption of advanced analytics and AI, and enabling better research, development, and commercial outcomes through data-driven decision making.
The Company
They are a global pharmaceutical organisation investing heavily in data, analytics, and artificial intelligence to accelerate innovation across the healthcare lifecycle. Data science is a strategic priority, supporting activities across research, clinical development, medical affairs, and commercial functions. As they continue to scale their data capabilities, they are seeking a Head of Data Science to provide leadership, direction, and technical expertise across the organisation.
The Role and Deliverables
- Define and execute the organisation’s data science strategy, ensuring alignment with business and scientific objectives.
- Lead the delivery of machine learning, predictive analytics, and AI initiatives across pharmaceutical and commercial use cases.
- Build strong relationships with senior stakeholders across data, technology, scientific, and business functions.
- Establish best practices for model development, governance, deployment, and performance monitoring.
- Drive the adoption of scalable data science solutions that improve decision making and operational effectiveness.
- Mentor and develop data science teams while fostering a culture of innovation and continuous improvement.
Your Skills & Experience
- Strong experience leading data science functions within pharmaceutical, biotechnology, healthcare, or life sciences environments.
- Deep expertise in machine learning, statistical modelling, and advanced analytics.
- Strong Python skills and experience working with modern data science and cloud platforms.
- Proven ability to translate complex scientific and business challenges into actionable data science solutions.
- Experience influencing senior stakeholders and operating at executive level.
- Strong understanding of MLOps, model governance, and deploying machine learning solutions into production.
- Excellent communication skills with the ability to engage both technical and non-technical audiences.
How to Apply
If you are a Data Science Leader or Head of Data Science looking to shape the future of analytics and AI within a leading pharmaceutical organisation, apply today to learn more about this contract opportunity.
To Apply for this Job Click Here
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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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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.
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Director of Customer Data Science – Apparel
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
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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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Senior Data Engineer
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 – 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.
