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PRODUCT DATA ANALYST / SCIENTIST

UP TO £85,000

HYBRID – LONDON 2x PER WEEK + 1x MONTHLY TEAM TRAVEL

*Please note, you must be a UK resident and citizen to apply*

THE COMPANY

Backed by private equity, this fast-growing consumer technology business is on a mission to become more product-focused and deliver greater personalisation for its users. With strong leadership and exciting growth plans, they’re now looking for a senior-level Product Data Analyst/Scientist to help shape product strategy and deliver actionable insights.

THE ROLE

As a Product Data Analyst/Scientist, you will:

• Own and drive product analytics, focusing on user behaviour and personalisation.
• Deliver insights that directly influence product strategy and experimentation.
• Build and maintain dashboards to track product performance and user engagement.
• Partner with stakeholders across product and analytics to communicate insights effectively.
• Support the business in becoming more data-driven, shaping commercial and product decisions.

YOUR SKILLS AND EXPERIENCE

• Experience in product analytics, within B2C consumer tech businesses
• Strong SQL skills essential.
• Proficiency with data visualisation tools (Looker preferred, open to others).
• Experience with Python desirable.
• Product analytics expertise: experimentation, dashboarding, and driving product strategy.
• Excellent communication and stakeholder management skills.
• Experience influencing product roadmaps and delivering commercial impact.

BENEFITS

• Opportunity to influence product strategy in a PE-backed, high-growth business.
• Work closely with senior leadership, including the Director of Analytics.
• Competitive salary plus benefits.

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SENIOR PRODUCT DATA SCIENTIST

UP TO £85,000

HYBRID – 1X A WEEK IN LONDON

*Please note, you must be a UK resident to apply and hold full right to work*

JOB DESCRIPTION

My client is looking for a Senior Product Data Scientist to join a growing Insights team. In this role, you’ll partner closely with product, engineering, and machine learning teams to deliver insight, drive experimentation, and shape the future of a consumer-facing product ecosystem.

This position sits at the intersection of technical depth and strategic impact. You’ll dive into data, pipelines, and experimentation frameworks while also influencing product direction, user experience, and commercial outcomes.

WHAT YOU’LL DO

Product Analytics Ownership

• Act as the go-to data scientist for a core product area.
• Develop a deep understanding of user behaviour and product performance.
• Identify opportunities to improve user outcomes and business results.

Influence Product & Business Strategy

• Connect analysis to broader company goals and strategic priorities.
• Help product teams understand trade-offs, challenge assumptions, and make evidence-based decisions.

Experimentation & Measurement

• Design hypotheses and support experimentation frameworks.
• Monitor and analyse A/B tests, providing clear recommendations on rollouts or iterations.
• Conduct post-experiment analysis to evaluate impact and learning.

Enable Data-Driven Decision Making

• Collaborate with product, platform, and data teams to ensure scalable, accurate datasets.
• Build dashboards and reporting that drive awareness, clarity, and action across teams.
• Support self-serve analytics and data literacy within the product organisation.

SKILLS

• Strong SQL skills with experience querying large, complex datasets.
• Basic working knowledge of Python.
• Familiarity with ETL workflows and debugging data issues.
• Proven experience designing and interpreting A/B tests.
• Hands-on experience with data visualisation tools (e.g. Looker, Tableau, or similar).
• Excellent communication skills, with the ability to explain complex concepts clearly and persuasively.
• Commercial mindset, balancing user needs with business outcomes.
• Strong sense of ownership; highly organised and proactive.
• Comfortable working in fast-changing, ambiguous environments.
• Experience working on consumer-facing, mobile-first products or marketplaces.
• Exposure to working alongside machine learning teams or embedding data science into ML-powered product discovery.

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Job Title: Product Data Scientist – Hybrid – Up to £80,000

Location: London (Hybrid, 2 days p/w in office)

Salary: Up to £80,000 + benefits

Contract: Permanent

The Company

A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth.

The Role

As a Product Data Scientist, you’ll work closely with teams across the business to unlock insight, guide product strategy, and influence decision-making. You’ll use advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact.

Key Responsibilities:

• Analyse user behaviour to uncover insights, identify pain points, and influence product direction.

• Design experiments and support a culture of testing, learning, and iteration.

• Define and align key business metrics, ensuring consistency and accuracy across teams.

• Build and maintain dashboards and tools to empower stakeholders with self-serve insights.

• Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations.

• Collaborate across functions to close data gaps and drive analytics best practice.

• Stay current on industry trends and champion innovative approaches to product data science.

The Candidate

• Proven experience in analytical roles, ideally within a digital-first or tech-led business.

• Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash).

• Ability to translate business challenges into clear analytical projects and recommendations.

• Strong data storytelling and presentation skills, with confidence engaging senior stakeholders.

• Curious, proactive, and detail-oriented problem solver.

• Team player with strong collaboration skills.

What’s on Offer

• Salary up to £80,000 + bonus

• Hybrid working (2 days per week in London office)

• Competitive annual leave package

• Pension scheme and healthcare support

• Employee discounts and perks

• Regular team socials and recognition initiatives

• Strong learning and development opportunities

Apply Now
If you’re an experienced Product Data Scientist/Analyst looking to shape the future of data insight in a growing, forward-thinking organisation, apply today.

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Lead Data Scientist

London

85-120k

If you’re a hands-on Data Science / AI specialist who loves solving real operational problems, this role puts you right at the heart of client delivery. You’ll shape the problems, design and build the solutions, and see your models deployed into live environments – not parked as endless POCs.

THE COMPANY

This fast-growing consulting firm helps organisations across the public sector, defence and commercial markets deliver measurable improvements in performance through data, AI and digital solutions. They are building a modern AI & Digital capability that sits at the front of transformation programmes, working shoulder-to-shoulder with clients on their toughest operational challenges.

THE ROLE

As a Lead Data Scientist, you will blend hands-on technical work with consulting, stakeholder management and practice-building.

• Identifying high-impact Data Science, Machine Learning, AI and simulation opportunities on client engagements
• Scoping and shaping problems, designing experiments and roadmaps, and then building and deploying models end-to-end
• Leading technical workstreams, managing small teams and ensuring projects are delivered on time and to a high standard
• Translating complex technical concepts into clear, compelling narratives for non-technical senior stakeholders
• Coaching and mentoring consultants to build their capabilities in DS/ML/AI and modern analytics

YOUR SKILLS & EXPERIENCE

• Strong background in Data Science, Machine Learning, AI, simulation or advanced analytics, with clear examples of end-to-end delivery
• Proven ability to shape, not just execute: from defining the problem and designing the solution, through to delivery and measurement of impact
• Consulting capability – comfortable running client workshops, identifying opportunities, influencing senior stakeholders and supporting pitches
• Evidence of measurable commercial or operational impact (e.g. revenue growth, cost reduction, efficiency gains, service improvement)
• Hands-on experience building models and turning prototypes into robust, production-ready solutions
• Experience leading teams or technical workstreams in a project environment
• UK citizenship (for security clearance purposes) and willingness to travel across the UK 2-3 days per week, depending on client needs

Nice-to-have experience:

• Background in a consulting environment or a high-performing in-house DS/AI team
• Exposure to sectors such as defence, public sector and consumer/retail
• Familiarity with modern data and AI tooling such as Python, Spark, Databricks, Azure cloud, and Generative AI platforms (experience with specific tools is helpful but not essential)
• A mix of technical, product and operational experience – comfortable talking both code and business outcome

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Data Scientist – Computer Vision

Location: Remote / Hybrid / On-site (flexible)

Type: Full-time

Company: Small AI Startup

About the Company

The company is a small, fast-growing AI startup building practical solutions to real-world problems using artificial intelligence and computer vision. The team works closely across disciplines, values experimentation, and focuses on delivering models that perform reliably outside of controlled environments.

The Role

The company is seeking a Data Scientist with a focus on computer vision to work on end-to-end AI solutions. This role involves taking ownership of computer vision problems from early exploration through to production deployment.

The successful candidate will play a key role in shaping both the product and the technical direction of the company, working in a hands-on, fast-paced startup environment.

Key Responsibilities

• Develop, train, and evaluate computer vision models (e.g. image and video classification, object detection, segmentation)
• Work with complex, real-world visual datasets, including data preparation and augmentation
• Experiment with and adapt modern deep learning architectures
• Collaborate closely with engineers and founders to integrate models into production systems
• Iterate quickly based on product requirements and real-world feedback
• Contribute to technical decision-making and best practices within the team

Required Skills and Experience

• Experience in data science, machine learning, or a related role with exposure to computer vision
• Strong programming skills in Python
• Hands-on experience with machine learning and computer vision frameworks (e.g. PyTorch, TensorFlow, OpenCV)
• Solid understanding of machine learning fundamentals
• Ability to work independently in an environment with evolving requirements
• Strong communication skills and the ability to explain technical concepts clearly

Desirable Experience

• Experience deploying machine learning models into production
• Familiarity with cloud platforms, containerisation, or MLOps tooling
• Experience in a startup or small team environment
• Background in video analytics, edge AI, or multi-modal models
• Evidence of practical computer vision work (projects, open-source, publications)

What the Company Offers

• A high-impact role with real ownership and influence
• Exposure to the full lifecycle of AI product development
• A collaborative, low-bureaucracy environment
• Competitive compensation and flexible working arrangements
• Strong opportunities for learning and professional growth

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AI Engineer

Up to £100,000 + benefits
Central London (Hybrid – 2-3 days per week in office)

You will be joining this company at an exciting time, as the company is growing it’s AI capabilities from the ground up. You’ll work on impactful AI solutions used across hundreds of locations and by thousands of customers, with full ownership of projects throughout the full process. This will be a hands-on role and requires someone who wants to make a real difference in consumer lives with AI.

The Company

This well-known organisation is undergoing a large digital transformation, investing heavily in AI to improve both internal operations and customer experience. With a newly formed digital leadership team, AI sits at the heart of the company’s long-term strategy, giving you the opportunity to deliver solutions that make a measurable impact at scale.

The Role

As an AI Engineer, you will design, build, and deploy end-to-end AI solutions. You’ll work closely with senior stakeholders, owning projects from discovery through to delivery, and helping translate complex AI concepts into clear, actionable outcomes.

Specifically, you can expect to be involved in the following:

• Build AI products end‑to‑end, from prototypes to production.
• Work with teams across the business to define problems, test ideas, and measure impact.
• Prepare data and develop models using both classical ML and generative AI.
• Integrate AI into digital products through services, APIs, and safe, compliant guardrails.
• Manage model life cycle and MLOps while sharing best practices and enabling colleagues.

Skills and Experience

The successful AI Engineer will have the following skills and experience:

• Strong Python and SQL experience, ideally with Databricks
• Experience with ML and LLM tools (e.g., scikit learn, XGBoost, PyTorch, TensorFlow, RAG, APIs)
• Comfortable with data engineering basics and MLOps practices
• Experience working with cloud platforms such as Azure, AWS, or GCP

Benefits

The successful Senior AI Engineer will receive the following benefits:

• Salary up to £100,000
• Performance-related bonus
• Hybrid working model
• Comprehensive benefits package including healthcare and pension

How To Apply

Please register your interest by sending your resume to Madison Barlow via the Apply link on this page.

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Mid‑Level Data Scientist

Location: Central London

Working Pattern: 4 days in office (Mon-Thurs)

Salary: £60,000-£75,000 total comp (including bonus)

Sponsorship: Not available

About the Role

If you’re a Data Scientist who loves solving real problems, experimenting with new ideas, and seeing your work make a meaningful impact, this role is designed with you in mind.

You’ll join a supportive and collaborative data function within a global investment organisation that’s using AI, LLMs, and modern data science to enhance how investment decisions are made. The work is varied, intellectually engaging, and grounded in real‑world outcomes – a great fit for someone who enjoys developing their skills while contributing to purposeful projects.

You’ll be encouraged to explore new approaches, share ideas openly, and help shape how projects evolve over time.

What You’ll Work On

Research & Innovation

• Exploring new AI and LLM‑based use cases

• Building proofs of concept and experimenting with modern NLP and agentic frameworks

• Applying language models to complex, unstructured datasets

Production & Deployment

• Turning research into scalable, production‑ready models

• Improving and maintaining established pipelines

• Working end‑to‑end across the full data science lifecycle

Analytical Project Work

• Running short, focused projects that support investment decisions

• Using NLP and classical ML to extract insights from diverse data sources

If you enjoy moving between research, hands‑on coding, and applied problem‑solving, you’ll feel at home here.

What You Bring

Core Skills

• Strong Python (pandas, scikit‑learn, etc.)

• Solid grounding in classical data science

• Experience delivering end‑to‑end data science projects

• Familiarity with LLMs, NLP, or language‑based analysis

• Cloud experience (GCP preferred; AWS/Azure welcome)

• Good coding practices and understanding of software development principles

Nice to Have

• Transformers / Hugging Face

• Snowflake, BigQuery, or data lake experience

• Streamlit or dashboarding tools

• Exposure to finance or markets (not required)

• Interest in full‑stack development

Who You Are

• 1-3 years’ experience as a Data Scientist

• STEM degree or equivalent technical background

• Comfortable working with a balance of independence and collaboration

• Clear communicator who enjoys working with others

• Motivated by complex challenges and opportunities to learn

Why This Role Stands Out

• Competitive base salary + 10% bonus

• Work on cutting‑edge AI and LLM applications

• Variety across research, production, and analytical projects

• Opportunities to contribute to meaningful decisions and outcomes

• A culture that values curiosity, creativity, and continuous learning

Apply below!

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Job Title: Client-Facing Data Scientist (Marketing & Market Mix Modelling)

Location: Netherlands / Belgium / Hybrid
Language Requirement: Fluent Dutch & English

About the Role

The company is seeking a Dutch-speaking, client-facing Data Scientist to join its growing analytics team. This role focuses on delivering data-driven insights for commercial and marketing stakeholders, with a strong emphasis on marketing analytics and Market Mix Modelling (MMM).

The successful candidate will act as a trusted advisor to clients, translating complex analytical outputs into clear, actionable recommendations that inform marketing strategy, budget allocation, and overall business performance.

Key Responsibilities

• Develop, maintain, and improve Market Mix Models to measure marketing effectiveness across channels

• Work directly with clients to understand business challenges and define analytical approaches

• Translate model results into clear insights and recommendations for non-technical stakeholders

• Present findings to marketing teams, commercial leaders, and senior stakeholders

• Analyse marketing data including media spend, sales, pricing, promotions, and external factors

• Collaborate with internal data science, engineering, and consulting teams

• Support scenario planning, forecasting, and optimisation of marketing budgets

Required Skills & Experience

• Strong academic or professional background in data science, statistics, econometrics, or a related field

• Proven experience in Market Mix Modelling or advanced marketing analytics

• Proficiency in Python and/or R (SQL experience is an advantage)

• Solid understanding of marketing channels (digital and offline)

• Ability to communicate complex analytical concepts clearly and confidently

• Fluent Dutch, both written and spoken, with professional-level English

• Experience in a client-facing or stakeholder-facing role

Nice to Have

• Experience in consulting, analytics advisory, or agency environments

• Knowledge of causal inference, time-series modelling, or Bayesian approaches

• Experience with data visualisation tools such as Tableau or Power BI

• Experience working with large and complex marketing datasets

What the Company Offers

• Exposure to high-impact marketing and commercial projects

• Regular interaction with senior client stakeholders

• A collaborative, analytics-led working environment

• Competitive salary and benefits

• Flexible and hybrid working arrangements

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Founding Machine Learning Engineer

New York, New York

$180,000-200,000 base salary + equity + benefits

Harnham is partnered with a fintech startup that is disrupting a key area of credit risk in real estate. They are building out an AI platform that will revolutionize how certain credit risk tasks are carried out in the cloud. This will be a senior-level NLP Engineer in the business and lead all LLM projects from end-to-end.

THE ROLE

• You will be responsible for machine learning infrastructure and model deployment for the company’s AI platform
• You will report directly to the founding team and work closely on technical direction
• Own development of new PoCs and quickly build into production, particularly focusing on novel ML and AI applications
• You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning infrastructure
• You will play an integral role of building out the AI team and scaling out its product
• Act as a thought leader role for AI across the business

YOUR SKILLS AND EXPERIENCE

The successful Founding Machine Learning Engineer will likely have the following skills and experience:

• 5+ years of commercial experience preferred with a focus on deploying ML models in credit risk
• Experience working in a scaling startup is highly preferred (having seen multiple funding rounds ideally)
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel NLP and LLM AI platforms with large datasets
• Cloud experience in AWS, Azure or GCP preferred
• History of working on models from concept to production / end-to-end / 0-1
• Experience in settings wearing multiple hats
• Domain experience in real estate or financial services a plus
• History of partnering with non-technical stakeholders required
• Experience as a tech lead for ML teams preferred
• BS or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar

THE BENEFITS

A competitive base salary of $180,000-200,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | Fintech | Financial Services | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | NLP | NLU | NLG | Natural Language Processing | Infrastructure | Architecture | Real Estate | Credit Risk | Founding Team

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Staff Machine Learning Engineer

Salary – £100,000

Remote Europe

Looking for a role that gives you the opportunity to lead impactful machine learning projects while shaping the technical direction of a growing AI function? Excited by influencing strategy, mentoring engineers, and working fully remotely across Europe within a flexible, supportive environment?

THE COMPANY

This organisation is a forward‑thinking technology business building data‑driven products powered by advanced machine learning. They solve complex challenges across areas such as NLP, automation, and large‑scale model deployment. With a distributed technical team across Europe, they emphasise collaboration, experimentation, and strong engineering standards. You’ll join at a time of investment in AI, where your decisions directly shape the road-map and overall model capability.

THE ROLE

As a Staff Machine Learning Engineer you will…

• Lead the design, development, and deployment of end‑to‑end ML solutions.
• Architect scalable ML systems and pipelines that integrate seamlessly with cloud infrastructure.
• Mentor engineers, championing best practices across coding, experimentation, and MLOps.
• Collaborate with Product and Engineering teams to define priorities and model strategy.
• Apply deep learning, NLP or classical ML techniques to real‑world, high‑impact problems.
• Uphold responsible AI principles across model development and evaluation.

YOUR SKILLS & EXPERIENCE

The successful Staff Machine Learning Engineer will have:

• Strong Python skills and experience with ML frameworks such as TensorFlow or PyTorch.
• Deep knowledge of machine learning and modern deep learning techniques.
• Experience deploying ML models to production using cloud platforms (AWS, GCP or Azure).
• Familiarity with big‑data or distributed tools (Spark, Kafka or similar).
• A track record of leading complex ML projects and influencing technical decisions.
• Excellent communication skills across distributed, cross‑functional teams.

WHAT THEY OFFER

The successful Staff Machine Learning Engineer will receive:

• Fully remote work across Europe with flexible collaboration hours.
• Modern tooling, supportive leadership, and clear progression into senior technical influence.
• Exposure to diverse ML applications and the chance to shape long‑term AI strategy.

HOW TO APPLY

Please register your interest by applying via the link on this page with your CV.

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Staff Machine Learning Engineer – Fully Remote

LLM & NLP required

We are hiring for a Staff MLE to join a large global organisation delivering advanced language and AI solutions to clients.

The Role

• Lead and architect large‑scale machine learning projects
• Build and deploy scalable ML models, pipelines, and systems
• Mentor engineers and set technical direction across teams
• Drive innovation through research and adoption of new ML techniques
• Present technical insights to both technical and non‑technical audiences

Your Skills & Experience

• 8+ years in Machine Learning Engineering or similar senior roles
• Strong Python skills; experience with deep learning frameworks (TensorFlow, PyTorch)
• Solid understanding of ML algorithms, statistics, and data modelling
• Experience with large‑scale data tools (Hadoop, Spark, Kafka)
• Cloud & MLOps experience (AWS, Azure, or GCP)
• NLP experience highly beneficial
• Strong leadership, communication, and stakeholder management

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PRODUCT DATA SCIENTIST

LONDON (HYBRID 2 DAYS IN OFFICE)

£75,000-£80,000

Harnham are working with a national services product to bring in an experienced Data Scientist to join their large-scale growing team.

THE COMPANY

Join a fast-growing company that are looking to grow their Product Data Science team to dive deep into data and strengthen the effectiveness of their product. With over 4 million loyal members and more signing up daily, the company look to expand with their market.

THE ROLE

As a Data Scientist/Analyst you will be uncovering user behaviour and pain points to inform product strategy alongside generating hypotheses. Whilst deep diving into the data to help build dashboards, you will be communicating often with business partners and stakeholders and presenting information to them. This will include-

. Building and maintaining metrics, KPI’s, dashboards

. Collaborate on commercial strategy and member engagement

. Partner across teams to solve problems, inform decisions and guide strategy

. Not just analysis, owning the problem space and outcomes

YOUR SKILLS AND EXPERIENCE

As a Data Scientist you must have had experience in a consumer tech / product environment and be able to understand and communicate with product and business stakeholders. You must be able to strategic contribution and not just technical execution whilst being able to deliver and not just analyse. This will involve-

. Strong experience in Product Data Science using- (SQL, Python, GA, Looker/Lightdash.)

. Great communication skills- Able to communicate to stakeholders confidently and clearly being able to effectively tell the story behind the data.

. Must have consumer tech / product experience

THE BENEFITS

. Competitive salary from £75,000-£80,000

. The ability to influence process and have major impact on projects

. Company values workers that want to stay and grow within the team

. The ability to work from home for 3 days- allowing flexibility and home/work life balance

THE PROCESS

1^st stage- 45 minutes Teams meeting with Director of Data covering CV and experience

2^nd stage- 1 hour Teams meeting with Director and member of the Data team covering a case study of which you must analyse and explain.

3^rd stage- 1 hour in person meeting with presentation of past experience

HOW TO APPLY

Please register your interest via the apply link on this page, or send your CV

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