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Are you a Data Scientist who enjoys building real‑world models that drive commercial decisions, not just experimentation? I’m hiring for a Data Scientist to join a leading data and analytics consultancy working across customer insight, marketing, and predictive modelling.

This is a brilliant opportunity to work on high‑impact data products, combining advanced analytics, business understanding, and client‑facing delivery in a collaborative, product‑focused environment.

The company

This is a well‑established data consultancy that sits at the intersection of data provision, analytics, and product development. They work with high‑volume customer data across sectors like utilities, telecoms, financial services, and charities – using data to solve real commercial problems and drive better decisions.

They’ve built out a Customer Intelligence Platform, where data science, analytics, and product teams collaborate to create scalable, reusable data products.

Where you fit

You’ll sit within the Data Science team, working closely with Product Managers, Data Analysts, and subject‑matter experts.

This is a hands‑on modelling role with strong client interaction, where you’ll take problems from discovery through to delivery – combining technical expertise with commercial thinking.

What you’ll be doing

• Build predictive models (often propensity modelling / scoring models) to solve real customer and business problems
• Work directly with clients to understand challenges, run discovery sessions, and shape analytical approaches
• Develop and refine models, including training, testing, and optimisation
• Lead rapid prototyping and proof‑of‑concept work using Databricks notebooks
• Define features, model structures, and scoring outputs for data products
• Translate analytical outputs into clear, actionable insights and presentations for clients
• Contribute to the development of scalable, reusable data products within the platform

Example project

You might build a model that predicts which customers are most likely to repay debt, then segment them to determine the best engagement strategy – using behavioural and demographic patterns to optimise outcomes.

Tech stack

• Python & SQL (essential)
• Databricks (core analytics environment)
• Azure‑based data platform (with flexibility depending on client environments)

What you bring

Must‑haves

• 3+ years experience in data science
• Strong Python and SQL skills
• Experience building and evaluating predictive models
• Understanding of data modelling and feature engineering
• Ability to translate data into clear commercial insight and recommendations
• Confident communicator – comfortable working directly with clients
• Consultancy or client‑facing experience

Nice to have

• Experience with Databricks or cloud platforms (Azure, etc.)
• Background in customer, marketing, or transactional data
• Exposure to industries like telecoms, financial services, or utilities

Why this role

• Work on end‑to‑end data science projects – not just isolated modelling
• Strong balance of technical work and commercial impact
• Opportunity to contribute to product development and innovation
• Exposure to multiple clients, industries, and use‑cases
• Collaborative team environment with analysts, SMEs, and product teams

Working pattern

• Hybrid: 1 day per week in London
• Open to candidates based in the Midlands who can commute weekly
• Additional flexibility for the right candidate
• UK travel to clients may be required depending on project work

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AI Engineer / Data Scientist

3 days in Leeds or Nottingham

We are working with a leading data and analytics organisation supporting banks and lenders by analysing large‑scale consumer and transactional data.

The Role
You’ll join a specialist AI & Machine Learning team building modern credit risk and decisioning models. The focus is on moving beyond traditional scorecards to advanced ML and AI techniques applied to real‑world lending problems.

Key Responsibilities

• Build and enhance credit risk and lending models
• Apply ML and AI techniques including predictive modelling, clustering, segmentation, and transformer‑based models
• Modernise legacy models using Python‑based ML approaches
• Collaborate with product and engineering teams to deploy models into production

Required Experience

• Background in banking, fintech lending, credit bureaus, or consulting with lending experience
• Hands‑on experience building credit risk models
• Strong Python and SQL skills
• Experience using ML and AI models in regulated environments

Logistics:

• 3 days in office in either Leeds or Nottingham

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AI Consultant

Leeds or Nottingham | Hybrid working (3 days in office, Tuesday to Thursday)

The Company
They are a well established organisation operating at the centre of data driven decision making, supporting businesses to make more accurate and responsible choices. With access to large, complex datasets, they play a critical role in enabling better outcomes across financial services and beyond. The AI Lab is a newer function within the wider Data and Analytics group, created to accelerate innovation and integrate AI more deeply into products and client work. The culture is collaborative, stable and long term focused, with strong investment in people.

The Role

• Design, develop and enhance AI and machine learning models to support lending and credit decisioning.
• Work on a wide range of AI initiatives including predictive modelling, scorecards, chatbots and transformer based approaches.
• Carry out research and development to explore how AI can be used as an alternative or improved solution to existing processes.
• Contribute to new product innovation, including the development of new predictive models and tools.
• Collaborate with stakeholders across data, analytics and the wider business to embed AI into client work and internal projects.
• Present technical concepts and findings clearly to both technical and non technical audiences.

Your Skills & Experience

• Strong commercial experience in credit risk within a lender, fintech or credit bureau environment.
• Proven capability in developing models, particularly scorecards or similar predictive models.
• Hands on experience with AI and machine learning, such as LLMs, AI chatbots or advanced ML techniques.
• Evidence of applying AI to solve real business problems within lending, credit or collections.
• Strong programming skills in Python and SQL.
• Confident communicator, comfortable presenting and explaining complex ideas.

What They Offer

• Hybrid working model with a structured in office presence three days per week.
• Exposure to varied, high value AI work across multiple business areas and industries.
• Opportunity to join a growing AI Lab with genuine influence over future direction and innovation.
• A supportive, long term focused environment with strong retention and career development.

How to Apply
Apply now to find out more about this key AI Consultant opportunity and how it could fit your next career move.

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AI Consultant
London, 3 days in the office| Salary between £80,000 and £90,000

This is a high-impact opportunity to join a newly established AI lab within a large, data-rich organisation, where AI is central to future product innovation and client delivery. Sitting at the senior end of the consultant band, this role offers real influence over how advanced analytics and AI are applied to complex, real-world lending decisions.

The Company

They are a well-established data and analytics organisation operating at scale across financial services and adjacent industries. With access to extensive proprietary datasets, they support clients in making more accurate, responsible decisions through advanced analytics and modelling. Their AI lab is a growing centre of excellence designed to accelerate innovation and embed AI across the wider business.

The Role

You will play a key role in developing and enhancing AI-driven solutions used across client and internal projects, with a strong focus on credit and lending use cases.

Responsibilities include:

• Designing and building AI and machine learning models to support lending, risk, and decisioning strategies.
• Developing and enhancing predictive models, including scorecards and other risk-focused approaches.
• Applying techniques such as LLMs, transformers, and applied ML to real business problems such as automation and decision support.
• Leading research and development activity for new AI-led solutions and product concepts.
• Communicating complex analytical outputs clearly through presentations, written outputs, and stakeholder discussions.
• Collaborating closely with analytics, engineering, and product teams across the organisation.

Your Skills and Experience

• Strong commercial experience in credit risk modelling within a lender, fintech, or credit bureau environment.
• Proven capability in developing predictive models, including scorecards or similar risk models.
• Hands-on experience applying AI or machine learning, such as LLMs, chatbots, or advanced ML techniques, to business problems.
• Strong Python and SQL skills for data analysis and model development.
• Experience exploring alternative or innovative AI-driven approaches to solve challenges within lending or collections.
• Confidence working autonomously and contributing at a senior consultant level.

What They Offer

• Salary between £80,000 and £90,000
• A key role within a growing AI lab with strong visibility and long-term progression opportunities.
• Exposure to a wide variety of projects across financial services and other data-intensive sectors.
• A collaborative, inclusive culture with strong retention and long-term career development.

How to Apply

Apply bellow or email me at

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Research Scientist, Human Attention and Spatial AI
Remote | Salary £60,000 to £75,000 plus equity

This is a rare opportunity to join a small, research-led team working on some of the most challenging problems in human-centred AI. The role offers genuine ownership, the chance to shape research direction, and the ability to see ideas move quickly from experimentation into real-world applications.

The Company

They are a human-centric research and development consultancy focused on modelling how people perceive, attend to, and interact with complex visual and spatial environments. Operating with a lean, startup-style culture, the team works closely with industry partners while actively expanding into new application areas such as aerospace, immersive technologies, and assistive systems.

The Role

You will work at the intersection of machine learning, computer vision, and cognitive science to build models that predict and interpret human attention and behaviour in visual and spatial contexts.

Key responsibilities include:

Designing and implementing machine learning models for human attention, perception, and interaction.
Running independent experiments, from hypothesis and data design through to evaluation and analysis.
Working with visual, temporal, and spatial data including images, video, 3D scenes, and gaze signals.
Translating research ideas into practical prototypes with support from a small engineering-focused team.
Contributing ideas proactively in an open, research-driven environment.

Your Skills and Experience

• PhD, near-complete PhD, in machine learning, computer vision, AI, cognitive science, neuroscience, HCI, robotics, or a related field.
• Evidence of strong research output such as publications at leading computer vision or AI venues, patents, or substantial open-source contributions.
• Strong hands-on experience with Python and modern deep learning frameworks, ideally PyTorch.
• Ability to design, run, and evaluate machine learning experiments independently.
• A genuine interest in human behaviour, attention, perception, or cognitive modelling.
• Clear communication skills and confidence working in a small, collaborative team.

What They Offer

• Salary between £60,000 and £75,000 depending on experience.
• Equity options ranging from 0.1 percent to 3.0 percent based on seniority and scope.
• Fully remote.
• High-impact research problems, real-world applications, and meaningful technical ownership.
• A supportive, creative culture that values curiosity, initiative, and thoughtful experimentation.

How to Apply

Apply below or email me at for more information.

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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

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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

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Data Scientist

London hybrid 2 days per week with flexibility for candidates based in the North | Salary up to £65,000

The Company
They are a UK based data and analytics consultancy that also develops proprietary data products. Combining rich data assets with advanced analytics and modelling expertise, they support organisations to make smarter, more targeted decisions. Their work spans sectors such as utilities, telecoms, financial services and not for profit organisations, with a strong focus on predictive modelling for marketing and customer insight.

The Role

• Build and refine predictive models, with a strong focus on propensity and scorecard style modelling.
• Translate client problems into analytical solutions through data discovery and stakeholder workshops.
• Work closely with subject matter experts, project managers and data analysts to deliver end to end projects.
• Train, test and optimise models, ensuring outputs are robust and commercially relevant.
• Present findings and recommendations to clients in a clear, engaging and non technical way.
• Contribute to reports, dashboards and insight packs that support client decision making.

Your Skills and Experience

• Strong commercial experience using Python and SQL for data analysis and modelling.
• Practical experience building and validating predictive models, ideally within customer or marketing analytics.
• Comfortable working with large datasets and translating patterns into actionable insight.
• Experience working with cloud based analytics platforms, with Databricks being a strong advantage.
• Confident communicator who enjoys working directly with clients and stakeholders.
• An analytical background with curiosity to explore data beyond the initial brief.

What They Offer

• Salary up to £65,000 depending on experience.
• Hybrid working model with two days per week in London and flexibility for Northern based candidates.
• Exposure to a wide range of industries and business problems.
• Clear progression within a growing data science function, working alongside experienced practitioners.
• The chance to develop both technical and client facing skills in a collaborative environment.

How to Apply
If you are a Data Scientist looking for a role that blends advanced analytics with real client impact, apply now to learn more.

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Founding Research Scientist
London | £60,000 to £75,000 plus equity

This role stands out for its focus on applied research at the intersection of human perception and machine learning, with work directly shaping how intelligent systems understand attention, gaze and behaviour in real world environments. You will have the autonomy to explore ideas end to end, from experimental design to working prototypes, while contributing to technology with clear safety and societal impact.

The Company
They are a human centred research and development consultancy specialising in cognitive and perceptual modelling for complex visual and spatial systems. Operating as a small, fast moving team, they combine academic depth with practical delivery for long term industry partners. The business is profitable, independently funded and intentionally focused on sustainable growth rather than venture backing.

The Role

• Build and evaluate machine learning models that predict and interpret human attention, gaze and interaction within visual and spatial environments
• Design and run independent experiments across computer vision, temporal modelling and multimodal data
• Apply research from cognitive science and perception to practical AI systems
• Develop prototypes in Python and PyTorch, with light engineering where needed
• Contribute ideas proactively and collaborate closely within a multidisciplinary team
• Work on technology aligned with emerging safety and human monitoring requirements across transport and adjacent domains

Your Skills and Experience

• PhD or equivalent research experience in areas such as computational vision, visual attention, gaze estimation, cognitive neuroscience, HCI or perception with a machine learning component
• Strong research output through publications, patents or substantial open source contributions, ideally within computer vision or human centred AI
• Hands on experience with deep learning using Python and PyTorch
• Ability to design, execute and interpret experiments independently
• Experience or strong interest in areas such as eye tracking, saliency, egocentric video, EEG with vision, embodied AI or human behaviour modelling
• Clear communication skills and comfort working in a small, collaborative environment

What They Offer

• Salary of £60,000 to £75,000 depending on experience
• Equity options ranging from 0.1 percent to 3.0 percent
• Predominantly remote working with occasional collaboration in London
• High impact research work with real world application and long term relevance
• Opportunity to shape technical direction and grow with the organisation

How to Apply
Apply now to discuss this Research Scientist opportunity in Human Attention and Spatial AI in more detail.

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