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
Eindhoven
€75000 - €84000
+ Data Science & AI
PermanentEindhoven, North Brabant
To Apply for this Job Click Here
Data Scientist
Eindhoven, hybrid (2 days per week on site) | €78,000 base salary, up to €84,000 total package
This is a standout opportunity for a client facing Data Scientist who enjoys combining hands on analytics with advisory work. You will sit at the intersection of data science, marketing and consulting, helping translate complex modelling into clear, commercially relevant insights for senior stakeholders. With strong demand for data driven marketing projects, this role offers genuine impact and visibility.
The Company
They are a large, established media and marketing organisation with a strong data culture and a core data function of around 50 specialists. Alongside this, a small centralised data science team is being built to support high impact internal and client projects. The environment blends the pace of consulting with the depth of advanced analytics, working closely with marketing and media teams.
The Role
- Act as a client facing Data Scientist supporting a growing portfolio of marketing and media projects.
- Translate business and marketing questions into robust data science approaches and clear insights.
- Lead and contribute to projects such as marketing mix modelling, lift studies, attribution and experimentation.
- Apply clustering and segmentation techniques to support audience and performance strategies.
- Advise stakeholders on measurement frameworks, methodologies and implementation.
- Balance hands on analysis and modelling with client consulting and communication.
Your Skills and Experience
- Strong commercial experience as a Data Scientist or Data Analyst in a client facing or advisory environment.
- Proven ability to communicate complex analytical outputs to non technical stakeholders.
- Experience working on marketing or media related analytics such as MMM, attribution, experimentation or similar.
- Confident using Python and SQL for analysis and modelling.
- Solid statistical modelling capability without needing to be a dedicated machine learning engineer.
- Fluent Dutch and English, with the ability to operate professionally in both languages.
What They Offer
- No regular client travel, with clients invited on site for workshops and reviews.
- Strong career development within a growing data science and consulting function.
How to Apply
Apply now to discuss how this client facing Data Scientist role could be the next step in your data and consulting career.
This is a standout opportunity for a client facing Data Scientist who enjoys combining hands on analytics with advisory work. You will sit at the intersection of data science, marketing and consulting, helping translate complex modelling into clear, commercially relevant insights for senior stakeholders. With strong demand for data driven marketing projects, this role offers genuine impact and visibility.
The Company
They are a large, established media and marketing organisation with a strong data culture and a core data function of around 50 specialists. Alongside this, a small centralised data science team is being built to support high impact internal and client projects. The environment blends the pace of consulting with the depth of advanced analytics, working closely with marketing and media teams.
The Role
- Act as a client facing Data Scientist supporting a growing portfolio of marketing and media projects.
- Translate business and marketing questions into robust data science approaches and clear insights.
- Lead and contribute to projects such as marketing mix modelling, lift studies, attribution and experimentation.
- Apply clustering and segmentation techniques to support audience and performance strategies.
- Advise stakeholders on measurement frameworks, methodologies and implementation.
- Balance hands on analysis and modelling with client consulting and communication.
Your Skills and Experience
- Strong commercial experience as a Data Scientist or Data Analyst in a client facing or advisory environment.
- Proven ability to communicate complex analytical outputs to non technical stakeholders.
- Experience working on marketing or media related analytics such as MMM, attribution, experimentation or similar.
- Confident using Python and SQL for analysis and modelling.
- Solid statistical modelling capability without needing to be a dedicated machine learning engineer.
- Fluent Dutch and English, with the ability to operate professionally in both languages.
What They Offer
- No regular client travel, with clients invited on site for workshops and reviews.
- Strong career development within a growing data science and consulting function.
How to Apply
Apply now to discuss how this client facing Data Scientist role could be the next step in your data and consulting career.
To Apply for this Job Click Here
Lead AI Engineer
Pittsburgh
$175000 - $200000
+ Data Science & AI
PermanentPittsburgh, Pennsylvania
To Apply for this Job Click Here
Lead AI Engineer
$200,000
Location: Pittsburgh, PA (Onsite)
THE COMPANY
A high‑growth, mission‑driven technology organisation is expanding its advanced AI function. The team specialises in building intelligent autonomous systems designed to operate across complex workflows and high‑stakes environments. Engineers here work on cutting‑edge agentic technologies with significant ownership and impact.
THE ROLE
As the Lead AI Engineer, you’ll guide a specialised engineering team responsible for designing, building, and deploying next‑generation agentic AI systems. You will lead technical strategy, architecture decisions, and hands‑on development, while also mentoring engineers and driving best‑in‑class standards for performance, reliability, and scalability.
You’ll oversee the development of agents capable of long‑horizon planning, tool‑use, memory, and coordination across multi‑agent environments, ensuring they can operate effectively in real‑world mission‑critical settings.
KEY RESPONSIBILITIES
- Lead the design and development of agentic AI systems from conception through production
- Architect multi‑agent systems with planning, routing, memory, and complex tool‑use
- Build modular “skills” and components that plug into backend systems and data pipelines
- Establish evaluation frameworks, telemetry systems, and observability tools for agent behaviour
- Guide Agile processes, technical planning, and day‑to‑day engineering execution
- Partner with product and delivery teams to solve complex operational challenges
- Provide mentorship and technical leadership to engineers and data scientists
EXPERIENCE REQUIRED
- Several years of experience building and deploying ML or LLM‑powered systems in production
- Experience leading or mentoring engineering teams
- Demonstrated expertise in LLM integration and agentic system development
- Strong Python engineering skills
- Hands‑on experience with cloud infrastructure (AWS preferred)
- Familiarity with LLM algorithms, scaling patterns, and system reliability
- Ability to operate autonomously in high‑pace, ambiguous environments
- Comfortable with Git and modern engineering workflows
DESIRABLE EXPERIENCE
- Experience designing or deploying complex multi‑agent architectures
- Exposure to startup or high‑growth engineering cultures
- Experience with GenAI coding tools or best practices for agentic systems
- Eligibility to work in secure or sensitive environments
THE OFFER
- Ownership over next‑generation agentic AI strategy and architecture
- Opportunity to lead a high‑impact engineering team
- Work with cutting‑edge LLM and agentic technologies
- Fast‑paced environment with strong technical autonomy
To Apply for this Job Click Here
Head of Data Science
Leicester
£11000 - £130000
+ Data Science & AI
PermanentLeicester, Leicestershire
To Apply for this Job Click Here
Head of Data Science
A leading ecommerce organisation is seeking an exceptional Head of Data Science to define and deliver the data vision across a fast‑growing digital environment. This is a high‑impact leadership role focused on converting rich datasets into commercial advantage and world‑class customer experiences.
About the role:
You will lead the development of data architecture, models, analytics and reporting that underpin key digital products and customer journeys. Your work will accelerate performance across areas such as:
- Digital advertising platforms
- Product search and recommendation engines
- Personalisation across web, email, and marketing
- Data‑driven commercial optimisation
Responsibilities:
- Strategic Leadership; owning and driving the data science roadmap
- Lead the design and architecture of agentic models
- Influence decision making across the business
- Partner with senior leaders to set long-term strategy
- Lead & Develop a high-performing data science team
To Apply for this Job Click Here
Data Scientist
Knowsley
£40000 - £48000
+ Data Science & AI
PermanentKnowsley, Merseyside
To Apply for this Job Click Here
Mid-Level Data Scientist
Knowsley – Hybrid
The Company
They are a well-established UK retail business undergoing a significant data transformation. With major customer-led initiatives underway, including a new loyalty programme, the organisation is increasing its focus on advanced analytics, machine learning and personalisation. The culture is collaborative, pragmatic and delivery-focused, with an emphasis on getting models into production rather than staying in experimentation mode.
The Role
You will join a small but growing Data Science team, working closely with the Data Science Lead and one other Data Scientists. This is a hands-on role focused on building strong foundations and scaling existing use cases across the business. Key responsibilities include:
- Designing and developing customer-focused data science solutions across segmentation, lifetime value, forecasting and targeting
- Taking models end to end from problem definition through to deployment and monitoring
- Working with stakeholders to translate business questions into robust modelling approaches
- Partnering with engineers and analysts to productionise models and embed them into customer journeys
- Contributing to the development of a new Data Science platform and best practices as the team matures
Your Skills & Experience
To be successful in this role, you will bring:
- Strong commercial experience in Data Science or Machine Learning within a real-world environment
- Advanced Python skills for modelling and analysis, with solid SQL capability
- Experience delivering end-to-end data science solutions, including deployment
- Exposure to forecasting, statistical modelling or applied machine learning use cases
- Comfort working in a team that is still evolving its Data Science maturity
- Clear communication skills and the ability to build credibility with non-technical stakeholders
Cloud exposure in GCP or Azure, and experience using managed ML services, would be advantageous but not essential.
What They Offer
- The chance to shape a growing Data Science function and influence technical direction
- High-impact, customer-facing projects with clear routes into production
- Strong long-term progression as the data and AI capability continues to scale
How to Apply
Apply now to learn more about this Mid-Level Data Scientist opportunity and how it could fit into your next career move.
To Apply for this Job Click Here
Marketing Data Scientist
London
£45000 - £55000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Marketing Data Scientist
London | £45,000 to £55,000 + bonus and benefits
No sponsorship offered – must have full right to work in the UK
This is a rare opportunity to join a growing data science function at a pivotal moment for the business. With senior backing, fresh investment, and a clear focus on marketing effectiveness, this role offers real ownership, visibility, and the chance to shape how data science drives commercial decisions at scale.
The Company
They are a well established, international organisation undergoing a period of transformation, with a renewed focus on data driven decision making. A new leadership team is investing heavily in analytics to improve customer understanding, optimise marketing spend, and drive long term growth. The data science team has expanded rapidly and continues to grow across the UK and US, creating strong collaboration and progression opportunities.
The Role
You will sit within a marketing measurement and reporting team, focusing on understanding and improving marketing performance across channels. This role combines hands on modelling with real business impact.
Key responsibilities include:
- Developing and enhancing media mix models to measure and optimise marketing investment.
- Scaling an established UK modelling framework and applying it to international markets.
- Leading the evolution of marketing effectiveness modelling, with support and one direct report.
- Working closely with marketing, CRM, and analytics stakeholders to turn insights into action.
- Contributing to wider data science projects such as experimentation, propensity modelling, and recommendation systems.
- Owning projects end to end, from problem definition through to measurable business impact.
Your Skills and Experience
- Strong hands on experience with Python and applied machine learning.
- Solid grounding in statistical and predictive modelling techniques.
- Experience designing experiments and evaluating performance using A B testing or similar approaches.
- Confidence working with real world, messy data and delivering production ready solutions.
- Familiarity with cloud environments such as AWS is beneficial.
- Exposure to Bayesian methods, random forests, or marketing analytics is advantageous but not essential.
- Ability to demonstrate how your work has delivered tangible value or influenced decision making.
What They Offer
- Salary between £45,000 and £55,000 depending on experience.
- 10 percent annual bonus.
- Pension with 3 percent employer and 5 percent employee contribution.
- Hybrid working with 2 to 3 days per week in the London office.
- Clear progression as the data science team continues to grow and invest.
How to Apply
If you are looking for a hands on marketing focused data science role with ownership, impact, and urgency, apply now to be considered. Sponsorship is not available for this role.
To Apply for this Job Click Here
Data Center Engineer
Irving
$200000 - $235000
+ Data Science & AI
PermanentIrving, Texas
To Apply for this Job Click Here
Data Center Engineer – Build the Future of High-Performance Infrastructure
Irving, TX (100% onsite)
Up to $235K base + bonus + equity (OTE ~$330K-$350K+)
Why This Role Stands Out
This isn’t just another architecture role – it’s an opportunity to shape next-generation data center strategy at a globally recognized leader in semiconductor innovation.
You’ll sit at the forefront of infrastructure evolution, designing and scaling environments that power cutting-edge engineering, manufacturing, and high-performance workloads. With strong executive visibility and influence, your decisions won’t just support the business – they’ll define its future.
What You’ll Own
As the Data Center Architect, you’ll be the driving force behind designing and modernizing mission-critical environments across multiple sites. This is a high-impact role blending deep technical expertise with strategic vision.
Design & Architecture Leadership
- Architect large-scale, high-availability data center environments (compute, storage, networking, power, cooling)
- Define scalable, future-ready infrastructure aligned to aggressive growth plans
- Standardize designs across sites (rack layouts, deployments, and infrastructure components)
Next-Gen Networking (Arista Focus)
- Lead architecture for Arista-based data center fabrics in a multi-vendor ecosystem
- Utilize Arista CloudVision (CVP) for centralized management, visibility, and life-cycle operations
- Drive automation and consistency using AVD (Arista Validated Designs)
- Balance innovation with flexibility – avoiding vendor lock-in while maximizing performance
Capacity & Growth Strategy
- Own capacity planning and forecasting across multiple data centers
- Anticipate demand from engineering and manufacturing workloads
- Lead expansions and upgrades proactively – before they become constraints
What Makes You a Fit
You’re not just an architect – you’re a builder and strategist who thrives in complex, high-stakes environments.
- Proven experience designing enterprise or large-scale data centers
- Strong expertise across networking, compute, storage, and facility infrastructure
- Background in semiconductor, advanced manufacturing, or similar high-precision environments (strongly preferred)
- Experience supporting high-performance or engineering-driven workloads
- Track record of leading multiple data center builds or major expansions (3+)
- Familiarity with hyperscale or cloud-inspired architectures (AWS, Azure, GCP)
- Ability to operate both hands-on and strategic, with strong stakeholder influence
What You’ll Gain
- Direct impact on infrastructure strategy at a global technology leader
- The opportunity to bring modern, hyperscale design thinking into a highly complex environment
- Executive-level visibility and influence
- Top-tier compensation with significant upside
Bottom Line
If you’re looking to move beyond “keeping the lights on” and instead architect the future of high-performance infrastructure, this is the role that puts you in the driver’s seat.
To Apply for this Job Click Here
Principal Data Scientist
$190000 - $220000
+ Data Science & AI
PermanentOhio
To Apply for this Job Click Here
Principal Data Scientist – K-12 EdTech
We are currently spearheading a confidential search for a Principal Data Scientist on behalf of our client, a global leader in educational transition and innovation. This role offers the opportunity to provide high-level technical and scientific leadership for some of the most critical strategic efforts within their K-12 School business unit.
As a senior member of an elite team comprising AI researchers and psychometricians, you will be at the forefront of delivering cutting-edge DS/AI solutions that define the future of classroom learning.
The Opportunity
- Strategic Leadership: Lead the design and implementation of technical solutions that align with the organization’s long-term goals.
- Innovation & GenAI: Drive the development of production-scale DS/AI systems, with a specific recent focus on Generative AI (GenAI) applications.
- Cross-Functional Impact: Collaborate with Product, Engineering, Learning Design, and UX teams to ensure data science initiatives are perfectly synced with business objectives.
- Stakeholder Influence: Define project timelines across workstreams and present high-level findings and recommendations to key stakeholders.
Who You Are
- Expert Educator: You hold a Doctoral degree (or equivalent) in AI, Data Science, or a related field.
- Seasoned Professional: You bring 5+ years of applicable experience to the table.
- Technical Authority: You possess recognized expertise in at least one area of DS/AI through both academic and industry contributions.
- Systems Expert: You have deep, practical experience with production-scale DS/AI systems.
- Communicator: You possess a clear, collaborative communication style and the ability to lead technical projects independently.
Compensation & Logistics
- Salary Range: $190,000 – $220,000 per year.
- Bonus: Performance-based bonus eligible.
- Travel: Ability to travel up to 25% as required.
- Environment: General office setting with support for Remote work.
- Physical: Role is generally sedentary, requiring standing/walking approximately 10% of the time.
Note: Due to the confidential nature of this search, further details regarding our client’s identity will be shared with qualified candidates during the initial interview stage.
Apply today to explore this leadership-level opportunity in EdTech.
To Apply for this Job Click Here
Senior Data Scientist
London
£75000 - £90000
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Senior Data Scientist (12 Month FTC)
London (Hybrid, 2 days per week)
The Company
They are a well established health and insurance technology organisation operating at significant scale, combining traditional insurance products with personalised, data driven services. Data Science is a core strategic capability, with strong executive support and a track record of deploying models and AI applications into live customer and internal workflows. The environment balances innovation with the rigour required in a regulated setting.
The Role
As a Senior Data Scientist focused on AI Engineering, you will take ownership of full lifecycle projects, from problem definition through to deployment and monitoring.
- Lead end to end delivery of AI and LLM based solutions across underwriting and insurance journeys
- Build and deploy agentic workflows, RAG pipelines, and LLM powered applications for internal and customer facing products
- Work across structured and unstructured data, collaborating closely with Machine Learning and GenAI specialists
- Own cloud based deployment, CI/CD, and productionisation of models and services
- Partner with product managers, engineers, and business stakeholders to shape requirements and scope projects
- Communicate progress and outcomes clearly, building trust through delivery and technical leadership
This role sits within a balanced team of traditional ML and GenAI specialists, with exposure to both classic modelling and modern AI use cases.
Your Skills and Experience
- Strong Data Science fundamentals and experience delivering classical machine learning models in production
- Hands on experience with LLMs, agentic workflows, and applied AI solutions
- Proven capability deploying models and AI services end to end, including monitoring and optimisation
- Solid engineering mindset with experience in cloud platforms, CI/CD, APIs, and containerised environments
- Confidence owning projects independently and leading delivery in cross functional teams
- Experience working in regulated, customer facing, or large scale data environments is beneficial
What They Offer
- Pension with up to 6 percent employer matching
- Private health and life insurance
- Hybrid working with a central London office location
- Strong likelihood of contract extension based on project delivery
How to Apply
If you are looking to own impactful AI projects in a mature, well supported Data Science environment, apply now to learn more.
To Apply for this Job Click Here
Data Scientist
London
£45000 - £50000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Data Scientist
London, hybrid 2-3 days in office| £45,000 to £55,000 + bonus + benefits
1-2 years experience
No Sponsorship available
This is an opportunity to join a growing data science function at a pivotal point in its evolution. The role offers real ownership, hands-on modelling work, and the chance to shape how marketing effectiveness is measured and scaled across international markets. With senior backing and investment in data, this is a role where your work will directly influence commercial decisions.
The Company
They are a well-established consumer-facing organisation. Data and analytics sit at the centre of their growth strategy, with clear investment into modernising CRM, marketing measurement, and decision-making capabilities. The data science team has expanded rapidly and continues to grow across the UK and US, with strong visibility and support from senior stakeholders.
The Role
- Lead the development and evolution of media mix modelling to understand and optimise marketing channel performance.
- Scale an existing UK marketing effectiveness model and support its rollout into the US market.
- Work closely with marketing, CRM, and analytics teams to generate actionable insights.
- Take ownership of models from concept through to delivery, ensuring measurable business impact.
- Contribute to additional data science initiatives such as propensity modelling, experimentation, and recommendation systems.
- Support and develop a junior team member within the marketing measurement space.
Your Skills & Experience
- Strong hands-on experience with Python and machine learning techniques.
- Solid grounding in statistical modelling and performance measurement.
- Experience designing experiments and working with A B testing frameworks.
- Confidence working end to end on data science projects and demonstrating commercial impact.
- Familiarity with cloud environments such as AWS is beneficial.
- Exposure to Bayesian methods, random forests, or similar approaches is highly desirable.
- Marketing or channel performance experience is helpful but not essential; technical capability is the priority.
What They Offer
- Salary between £45,000 and £55,000 depending on experience.
- Annual bonus of up to 10 percent.
- Pension with 3 percent employer and 5 percent employee contributions.
- A flexible benefits package aligned to roles under £70,000.
- Hybrid working with 2 to 3 days per week in the London office.
- Clear scope for progression as the data science team continues to grow.
How to Apply
If you are looking for a hands-on data science role with real ownership and impact, apply now to learn more.
To Apply for this Job Click Here
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Industry Hub
HARNHAM
News & Blog
With over 10 years of experience working solely in the Data & AI sector our consultants are able to offer detailed insights into the industry.
Visit our Blogs & News portal or check out our recent posts below.
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Testimonials
Client and
candidate
testimonials
A trusted partner of professionals
across the globe.
We understand the challenges our
customers face and offer the
recruitment solutions needed to drive
business success through Data &
AI.
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 – Chief Data Officer
It was a real treat to work with Harnham. My recruiter consistently went above and beyond to ensure that I navigated through the recruitment process as smooth as possible. I had been in contact with other professional at Harnham in the past and I can attest that the level of professionalism is always top-notch.
Candidate /
Chief Data Officer
Client – Director of 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 – Data Analyst
I’ve had a great experience with Harnham. The recruiter provided great advice and ensured that I understood everything, and even followed up with me after I started my new role to see how I was settling in. I would recommend Harnham as a great recruitment company for anyone looking for a role in data and analytics.
Candidate /
Data Analyst
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!
