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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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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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Lead Data Scientist Leicester

Company overview:

Ready to work with one of the UK’s largest ecommerce companies? Join their evolving and innovative Data Science team! This data-driven company is known for its online presence and is now focusing on the development and optimization of marketing strategies and solutions.

THE ROLE

As a Lead Data Scientist, you will be actively leading the development of projects and models in the central data science team, as well as liaising with stakeholders to enhance functions.

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

• Code reviews
• Development of sequencing models & recommendation engines
• Communicating with stakeholders and optimising campaigns

SKILLS AND EXPERIENCE

The successful Lead Data Scientist will have the following skills and experience:

• Strong proficiency in python, SQL
• Machine Learning experience
• Search, Recommendation, Personalisation, XGBoost, Two Tower or Neural Network experience
• Managerial experience preferred
• Strong communication skills

HOW TO APPLY

Please register your interest by sending your CV to Giulia Fronteddu via the Apply link on this page!

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Data Scientist
London
Private Equity
£75,000 – £85,000 + benefits

Harnham is working exclusively with a prestigious private equity firm in London who are building a data function in London to support the internal deal team with the use of sophisticated data science and analytics.

You will join a small team and help build the foundations for the company’s data initiative for the coming years.

You will be expected to help build the data platform being used by the investment team, as well as work on ad-hoc strategic projects to identify investment opportunities for the business.

The Role – Data Scientist

You will be:

• Working alongside the deal team to identify where data science and advanced analytics can have a positive impact on the investment process
• Helping to create internal data tools and products to support data-driven investment decisions
• Carrying out due diligence as part of the investment process
• Exploring how Generative AI techniques can benefit the organisation

Experience – Data Scientist

You will have:

• An M.Sc. or Ph.D. in: STEM (e.g. Statistics, Applied Mathematics, Computer Science, Engineering)
• Experience using Python is a must
• Experience of data visualisation tools (e.g. Tableau, Power BI)
• A strong knowledge of statistical/machine learning models applied to real-world problems
• A keen interest in problem-solving and using data, analytics and AI to solve investment problems is important
• A focus on using data science to create value is essential
• A strong interest in working alongside both technical and non-technical people

BENEFITS

Up to £85,000 base salary
Competitive bonus

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page. For further details or to enquire about other roles, please contact Nick Mandella at Harnham.

KEYWORDS

Python, SQL, Tableau, Power BI, AWS, GCP, Azure, Cloud, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance.

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Principal Data Scientist
London
Private Equity
£120,000 – £140,000 + benefits

Harnham is working with a tech firm in the Private Equity space and hiring a few positions across Data Science, Machine Learning Engineering and Data Engineering.

The company have an impressive founding team and hold a strong reputation within the Data & AI and Private Equity space.

They partner with some leading investment firms in deploying AI and machine learning for the sole purpose of creating value. Often working in ambiguous and greenfield environments, you will collaborate with a strong team of technical people across multiple industries to solve complex commercial and data problems, delivering key data science initiatives that drive performance and revenue.

In this role you will lead the technical teams that deliver value.

The Role – Principal Data Scientist

You will be:

• Working on multiple engagements within portfolio companies across various different industry sectors
• Delivering key Data Science / AI initiatives that drive value for customers.
• Shaping how projects are delivered, driving performance and working closely with C-level execs.
• Providing technical leadership across the business, with a focus on end-to-end machine learning solutions.

Experience – Principal Data Scientist

You will have:

• An M.Sc. or Ph.D. in: Machine Learning, Statistics, Applied Mathematics, Computer Science, Engineering, etc.
• Experience using Python is a must
• Knowledge of cloud technologies important (agnostic)
• A strong knowledge of statistical/machine learning models applied to real-world problems
• A keen interest in problem-solving and using scalable machine learning to solve data-related problems is important
• A focus on using data science and AI to create value is essential
• A strong interest in working across a variety of different industry sectors and problem areas.

BENEFITS

Up to £140,000 base salary
Competitive bonus
The opportunity to join a world-class and growing team

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page. For further details or to enquire about other roles, please contact Nick Mandella at Harnham.

KEYWORDS

Python, SQL, AWS, GCP, Azure, Cloud, Databricks, Docker, Kubernetes, CI/CD, Terraform, Pyspark, Spark, Kafka, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance.

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DATA SCIENTIST- FINTECH
LONDON
UP TO £65,000

Join a fast-growing, data-driven FinTech expanding rapidly in the US- they operate across personal loans, credit cards, and auto finance, and are widely regarded as a leader in digital lending.

THE ROLE

You’ll join a compact US-focused Data Science team, taking full ownership of the end-to-end model lifecycle. This isn’t a traditional “build and hand off” role, you’ll manage everything from data collection to feature engineering, model development, testing, and deployment.

Key Responsibilities:

• Develop credit risk predictive models, including scorecards, income models, and early repayment models.
• Build automation for lending decisions and support acquisition and verification models for credit cards.
• Create forecasting and marketing models to support customer segmentation and growth strategies.
• Own the full modelling process, from raw data through deployment, without separate engineering teams.
• Collaborate with cross-functional teams to ensure models are robust, actionable, and scalable.
• Continuously improve modelling approaches as volumes and portfolios expand.

REQUIREMENTS

• 1+ years’ experience in ML modelling, ideally with customer prediction models (forecasting, segmentation, pricing).
• Open to candidates from any sector, though financial services, insurance, or gambling is a plus.
• Strong academics – STEM degree from a top university; PhD candidates considered.
• Highly independent, able to own and deliver projects end-to-end.
• Smart, adaptable, and excited to work in a fast-paced, international expansion environment.

HOW TO APPLY

Please apply below or send CV

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Data Scientist – Product & Analytics
Hybrid (US-based)
Salary up to $140,000 base + benefits

Are you a Data Scientist who wants their work to genuinely matter?

We’re partnering with a fast-growing, global SaaS business whose products are used by thousands of organisations to improve real-world outcomes at scale. This is a chance to join a highly collaborative Analytics & Insights function where data science directly shapes products, strategy, and decision-making.

In this role, you’ll work end-to-end – from building robust data pipelines through to deploying predictive models that drive measurable impact. You’ll collaborate closely with Product, Engineering, and domain experts, translating complex problems into scalable, data-driven solutions.

What you’ll be doing

• Building and deploying statistical and machine learning models to support forecasting, prediction, and optimisation

• Designing scalable data pipelines using modern tooling to turn complex data into actionable insights

• Running experiments and hypothesis testing to measure product impact and improve outcomes

• Partnering cross-functionally to solve high-value business and customer problems

• Ensuring data quality, reliability, and performance through monitoring and validation

What we’re looking for

• Commercial experience in Data Science or Applied Analytics (SaaS experience a plus)

• Strong foundations in statistics and machine learning

• Hands-on experience with Python and SQL

• Exposure to cloud or distributed data environments (AWS, GCP, Azure, Spark, etc.)

• Someone who enjoys working across teams and seeing their work used in production

Why apply?

• Hybrid working with flexibility

• Salary up to $140,000 base plus a strong benefits package

• Work on meaningful, real-world problems at scale

• High visibility role with genuine influence over product and strategy

• Collaborative, mission-driven culture with strong technical peers

If you’re looking for a role where your models don’t sit on a shelf – this is worth a conversation.

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