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Senior Data Scientist
London, hybrid 2 to 3 days in office. £70,000 to £90,000 base salary plus bonus and benefits.

If you enjoy owning models end to end and want your work to directly influence marketing investment and commercial outcomes, this role offers real visibility and impact. You will step into a senior position where data science is actively shaping decision making, with strong leadership backing and clear scope to develop both people and products.

The Company
They are a well established, consumer focused organisation operating at scale across multiple international markets. Following recent leadership changes, the business is investing heavily in data, analytics and marketing effectiveness as part of a wider transformation programme. The data science function has grown rapidly and is now a strategic partner to marketing, CRM and commercial teams. Collaboration, curiosity and commercial thinking sit at the heart of the culture.

The Role

• You will lead the development and evolution of Marketing Mix Modelling, using it to guide how marketing spend is allocated and optimised.
• You will work closely with marketing and CRM teams to turn complex modelling into clear, actionable insight.
• You will own stakeholder engagement around marketing effectiveness, measurement and experimentation.
• You will help scale models and frameworks across international markets.
• You will line manage and develop a Data Scientist, setting technical direction and best practice.
• You will contribute to wider data science initiatives such as recommendation systems and propensity modelling.

Your Skills & Experience

• Strong commercial data science experience within marketing, CRM, customer or performance analytics.
• Hands on capability with Python and SQL, and experience working in a cloud based environment.
• Experience building and embedding statistical or machine learning models that drive business decisions.
• Knowledge of experimentation, performance measurement and causal analysis.
• Ability to communicate confidently with both technical and non technical stakeholders.
• A pragmatic, commercially minded approach to solving business problems with data.

What They Offer

• Base salary between £70,000 and £90,000.
• Discretionary bonus.
• Pension with employer and employee contributions.
• Comprehensive flexible benefits package.
• Hybrid working with regular collaboration in a central London office.
• Clear progression within a growing data science and marketing analytics function.

How to Apply
This is a priority hire with interviews moving quickly, particularly for candidates on short notice periods. Apply now to discuss how this role could fit your next career move.

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Senior Data Scientist
London – Hybrid 2 to 3 days in office | £70,000 to £90,000 + bonus and benefits

This is an opportunity to take ownership of high impact marketing data science work in a business that is actively investing in its analytics capability. You will play a lead role in shaping how advanced measurement and modelling informs commercial decisions, with clear visibility, influence, and scope to grow.

The Company

They are a well established, consumer focused organisation undergoing a period of transformation, with renewed leadership and a strong focus on data driven decision making. Significant investment is being made into their data science and analytics function, which has grown rapidly across the UK and US. The culture is collaborative, commercially minded, and supportive of innovation, with data science positioned as a strategic partner to the business.

The Role

• Lead the development and evolution of Marketing Mix Modelling to improve how marketing investment is measured and optimised
• Generate actionable insights across marketing performance, CRM, and customer behaviour, influencing senior stakeholders
• Scale and enhance modelling capability, with the opportunity to extend solutions into international markets
• Collaborate closely with marketing, CRM, and analytics teams to embed data science into day to day decision making
• Contribute to a broader portfolio of data science initiatives such as recommendation systems and propensity modelling
• Provide guidance and oversight to a Data Scientist, supporting delivery and technical development

Your Skills and Experience

• Strong commercial data science experience within a marketing, CRM, or customer focused environment
• Hands on expertise with Python and SQL, and experience working in a cloud environment such as AWS
• Experience building and deploying models that drive measurable business impact
• Strong understanding of performance measurement, experimentation, and causal analysis
• Confident communicator able to translate complex analysis into clear, practical recommendations
• Experience with Marketing Mix Modelling

What They Offer

• Salary between £70,000 and £90,000
• Annual bonus of 10 percent
• Competitive pension and flexible benefits package
• Hybrid working with 2 to 3 days per week in the London office
• Clear progression as the data science function continues to grow

How to Apply

Apply below if this sounds like the perfect opportunity for you, or email me at

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Senior Data Scientist
Remote – Competitive Salary & Benefits – Travel 25% / per month across the world

This is a unique opportunity to apply advanced AI and data science in highly complex, mission‑critical environments. You will work directly on real‑world challenges, building scalable AI solutions that drive strategic decisions and high‑impact outcomes.

The Company
They specialise in developing AI‑enabled platforms that support sophisticated analytical and operational needs. Their teams work with diverse datasets, combining deep technical expertise with domain insight to deliver tools that influence major strategic decisions. They encourage creativity, rapid iteration, and innovation in applied AI.

The Role
* Develop AI, ML, and data science solutions for complex analytical problems.
* Build scalable AI platforms tailored to specific operational requirements.
* Lead full‑lifecycle AI project execution, from research to production deployment.
* Collaborate with research, engineering, and software teams to deliver robust systems.
* Introduce and champion new AI methodologies, including LLMs and agentic systems.
* Mentor team members and support a culture of technical excellence.
* Translate broad requirements into actionable technical plans.

Your Skills & Experience
* Strong commercial experience delivering production‑ready AI systems.
* Expertise in AI fundamentals, LLMs, and modern AI development workflows.
* Ability to define architectures, drive roadmaps, and oversee end‑to‑end delivery.
* Skilled in collaborating across engineering, research, and product functions.
* Strong communication skills for both technical and non‑technical audiences.

What They Offer
* Competitive salary, benefits, and flexible location options.
* Direct impact on high‑stakes challenges and strategic AI initiatives.
* Opportunities to drive innovation and shape emerging AI practices.

How to Apply
If you want to build AI solutions that make a tangible impact, apply now.

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STAFF DATA SCIENTIST, PRODUCT – EXPERIMENTATION & CAUSAL INFERENCE

$180K – $210K BASE

REMOTE – US (EST HOURS)

Are you excited about fixing broken experimentation culture and building a best-in-class testing and causal inference framework from the ground up?

Do you want to partner directly with product and executive leadership to shape how decisions are made across a fast-growing SaaS platform?

THE COMPANY

A high-growth, venture-backed B2B SaaS company powering mission-critical workflows for thousands of businesses globally.

• Strong product-market fit with a rapidly expanding customer base
• Backed by top-tier investors with a clear path toward IPO
• Leadership team deeply invested in data-driven decision making
• Increasing focus on experimentation, product analytics, and ML-driven insights

THE ROLE

As a Staff Data Scientist, you’ll act as the technical anchor for experimentation and causal inference, owning both the strategy and execution of how the company tests, learns, and makes product decisions.

• Rebuild and scale the company’s experimentation framework (A/B, Bayesian, causal methods)
• Own the experimentation roadmap and influence product and engineering leaders
• Design and evaluate experiments across web and in-app experiences
• Apply causal inference methods when randomized testing isn’t feasible
• Partner with Product, Engineering, and Leadership to drive data-informed decisions
• Train and mentor other data scientists on advanced statistical methods
• Evaluate and implement experimentation tooling and best practices

YOUR SKILLS AND EXPERIENCE

• 6+ years in data science or product analytics
• Experimentation (A/B testing, Bayesian methods, sequential testing, multi-arm bandits)
• Causal inference (DiD, propensity modeling, uplift modeling, etc.)
• Strong product intuition within a SaaS environment:
• Feature adoption, retention, churn, growth loops, user lifecycle
• Advanced proficiency in Python and SQL
• Comfortable in GitHub environments (PRs, code reviews, collaboration)

Nice to have:

• Experience selecting or implementing experimentation platforms
• Familiarity with modern AI tools (e.g., coding copilots, LLM-assisted workflows)

THE BENEFITS

• Competitive base salary ($180K – $210K)
• Fully remote (US, EST collaboration)
• High-visibility role with direct access to executive leadership
• Opportunity to define and scale experimentation culture company-wide
• Work on complex product problems with real business impact

Why This Role

You won’t just run experiments – you’ll define how experimentation works across the company.

This is a rare opportunity to step into a role where the foundation exists but needs to be rebuilt – giving you the chance to shape the roadmap, influence leadership, and elevate the entire organization’s approach to data-driven decision making.

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Senior Data Scientist
London (Hybrid, London) £100,000 to £120,000 + equity

This is a rare opportunity to join a fast-growing AI assurance business at a pivotal stage of its growth. You will play a critical role in shaping how high-stakes AI systems are evaluated, bringing statistical rigour and credibility to work that has real regulatory and legal impact. No sponsorship available.

The Company

They are an early-stage AI assurance organisation operating in a highly regulated and rapidly evolving market. Their work focuses on the independent evaluation of AI systems used in sensitive decision-making contexts, helping organisations demonstrate fairness, accountability, and compliance. With strong commercial traction and a predominantly US-based customer base, they are scaling quickly while maintaining a high bar for analytical quality.

The Role

As a Senior Data Scientist, you will take ownership of the analytical methodologies that underpin the evaluation of AI systems. This role is research-led and statistically focused, rather than centred on building production machine learning models.

Key responsibilities include:

• Designing and running rigorous statistical tests to evaluate bias, fairness, and consistency in AI-driven systems
• Defining defensible methodologies for scoring, ranking, and interpreting AI outputs
• Building and validating synthetic datasets and test scenarios to assess system behaviour
• Leading research-driven experimentation to explore correlations, behavioural variables, and edge cases
• Setting quality and evidence thresholds for what constitutes statistically valid and defensible results
• Working closely with founders, product, and technical teams on high-impact analytical questions

Your Skills & Experience

You will bring strong applied experience in statistical analysis and AI evaluation, with the confidence to make judgement calls in ambiguous, high-stakes environments.

Key requirements include:

• Strong commercial experience in applied statistics and experimental design
• Proven capability in bias and fairness evaluation for AI or algorithmic systems
• Experience generating and validating synthetic data for testing or assurance purposes
• Ability to critically assess methodology, limitations, and real-world implications of analytical outputs
• Confidence communicating complex findings clearly to both technical and non-technical stakeholders
• Python experience for statistical analysis and reproducible research workflows

A PhD or advanced academic background in a relevant field is advantageous, but not essential if you bring strong applied industry experience.

What They Offer

• Salary of £100,000 to £120,000 plus meaningful equity
• Hybrid working model with three days per week in a London office
• High autonomy and influence in an early-stage, high-growth environment
• The opportunity to shape industry standards in responsible and compliant AI
• Clear progression as the data and analytics function scales

How to Apply

Apply below of this sounds like the perfect opportunity for you, or email me at

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Senior Data Scientist
London (Hybrid) | £100,000 to £120,000 + equity

This is a rare opportunity to step into a high impact data science role where statistical rigour genuinely matters. You will work on the independent evaluation of AI systems used in real world, high stakes decision making, with outputs that influence regulatory, legal and commercial outcomes. If you are motivated by credibility, methodology and meaningful responsibility, this role stands out from typical data science positions.

The Company

They are an early stage AI assurance business operating at the intersection of data science, regulation and responsible AI. Their platform provides independent testing and validation of AI systems used by organisations deploying AI at scale. With strong commercial traction and a growing international customer base, they are building analytical standards that customers rely on for accountability and compliance.

The Role

You will play a central role in defining and delivering rigorous evaluations of AI systems, particularly around bias, fairness and consistency.
Key responsibilities include:

• Designing and running robust statistical tests to assess bias and fairness in AI driven decision systems
• Developing and validating synthetic datasets and testing scenarios under real world constraints
• Creating defensible methodologies for scoring, ranking and interpreting AI outputs
• Defining evidence thresholds and standards for what is statistically valid and publishable
• Conducting research driven experimentation to test behavioural and outcome level correlations
• Contributing to high stakes stakeholder discussions where analytical judgement and clarity are critical

Your Skills and Experience

They are looking for someone with strong applied analytical judgement rather than a pure modelling background.
You will bring:

• Strong commercial experience in statistical testing, experimental design and inference
• Hands on experience evaluating AI systems, models or algorithms, particularly in black box settings
• Experience working with bias, fairness or discrimination analysis in applied contexts
• Practical knowledge of synthetic data generation and dataset design
• Confidence making and defending methodological decisions under uncertainty
• Fluency in Python for statistical analysis and reproducible workflows
• An interest in the real world, regulatory and ethical implications of data science work

A PhD or equivalent research background is beneficial but not required if you have strong applied experience.

What They Offer

• Salary between £100,000 and £120,000 plus meaningful equity
• 33 days holiday including bank holidays
• Hybrid working with three days per week in a London office
• Learning and development budget
• High autonomy and the chance to shape analytical standards in a fast growing field

How to Apply
Apply now to discuss how your statistical and analytical expertise could shape the future of AI assurance.

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Lead Data Scientist
London, hybrid (2-3 days in office) with some client travel expected
3-5 years experience
Competitive salary between £100,000 – £110,000 plus bonus

This is a standout opportunity to play a key role in building and shaping a growing data science and AI consulting capability. You will work on complex, high impact problems across public and private sector clients, applying data science, machine learning and generative AI to deliver measurable, real world outcomes. You will also contribute to developing people, standards and culture within a rapidly scaling team.

The Company

They are a specialist consultancy known for solving complex, high value problems and guaranteeing the impact of their work. Operating across consumer, public sector, defence and infrastructure, they focus on outcomes rather than theory, with solutions tied to clear KPIs, ROI and lasting change. Data science and AI are strategic growth areas, with strong senior backing and close collaboration with leading AI technology providers.

The Role

As a Lead Data Scientist, you will combine hands on technical delivery with consulting influence and team development. You will work closely with client partners and stakeholders to shape, deliver and embed data driven solutions that make a tangible difference.

Key responsibilities include:

• Designing and delivering data science, machine learning and generative AI solutions to solve real business and operational problems.
• Leading technical workstreams within larger client programmes, from problem definition through to deployment.
• Applying advanced analytics and modelling techniques in practical, production ready ways.
• Working on site with clients to embed solutions, drive adoption and ensure long term impact.
• Translating complex analytical concepts into clear, actionable insights for non technical audiences.
• Supporting client partners with technical input during solution design and proposal development.
• Coaching and mentoring junior consultants, contributing to capability building across the team.
• Helping define and promote best practice in data science and AI delivery.

Your Skills & Experience

• Strong commercial experience delivering data science or machine learning solutions end to end.
• A consulting mindset, with the ability to influence stakeholders and operate confidently in client environments.
• Experience turning ambiguous problems into structured, high impact analytical solutions.
• Exposure to areas such as machine learning, simulation or generative AI in real world settings.
• A track record of delivering measurable outcomes such as efficiency gains, cost reduction or revenue impact.
• Intellectual curiosity and a commitment to continuous learning.
• A collaborative, low ego approach with the confidence to lead and support others.
• Eligibility for security clearance is beneficial for some projects, but not essential for all roles.

What They Offer

• A Lead level role with clear responsibility, visibility and room to grow.
• Competitive salary with a performance related bonus.
• Strong coaching, development and progression within a growing data science and AI practice.
• Exposure to varied, meaningful work across multiple sectors.
• A central London office alongside flexible working and regular client engagement.
• The opportunity to help shape the future of a data science capability built around real impact.

How to Apply

Apply below of this sounds like the perfect opportunity for you, or email me at

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Product Director, Molecule Design Products
London, hybrid working | Competitive salary and benefits

If you are a product leader who thrives at the intersection of science, data, and AI, this role offers the chance to shape how modern drug discovery tools are built and scaled. You will lead a strategically critical product area, build a new UK based team, and influence how AI is embedded into real scientific workflows.

The Company
They are a global, research led organisation making significant investment in data and AI to transform how scientific research is conducted. Their enterprise scale platform brings together complex scientific data, advanced analytics, and AI to support discovery across R and D. The environment is highly collaborative, product driven, and focused on long term scientific impact rather than short term delivery.

The Role

• You will define and own the product vision and roadmap for AI enabled molecule design products
• You will build, hire, and lead a UK based product management team, creating the foundations for future growth
• You will partner closely with scientists, engineers, and data teams to deliver products that improve drug design and optimisation
• You will drive adoption of AI and data driven approaches across scientific decision making
• You will operate as a senior product leader, influencing strategy during a period of organisational growth and change

Your Skills and Experience

• Strong product management experience across technical or platform products
• Exposure to AI, machine learning, or data intensive products in production environments
• Experience working in scientific domains such as pharma, biotech, or drug discovery
• Leadership capability through people management or senior individual contributor roles
• Ability to translate complex scientific and technical challenges into clear product direction

What They Offer

• Competitive salary and comprehensive benefits package
• The opportunity to build and lead a new product function with immediate scope to hire
• High visibility role with influence over both platform strategy and scientific outcomes
• Clear progression within a data and AI organisation that is central to future R and D strategy

How to Apply
If you are looking to combine scientific impact with senior product leadership, apply to explore this opportunity further.

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Head of Data Science
London | Hybrid working (2 to 3 days in office) | £150,000 to £170,000 base salary

This is a rare opportunity for you to take ownership of a large, highly influential data science function within a profitable, data driven organisation where modelling and AI directly shape commercial outcomes. You will have executive level visibility, genuine autonomy, and the chance to define how data science and AI are applied at scale.

The Company

They are a well established UK fintech operating in the SME lending space, with data science embedded at the core of their decision making. The business is profitable, growing, and known for applying rigorous probabilistic and statistical models in production environments. Data science is not an advisory function here; it directly underpins lending decisions, forecasting, and commercial strategy across the organisation.

The Role

• You will lead a multi team data science function spanning credit, product, and operations
• You will set the strategic direction for how data science delivers measurable commercial value
• You will scale and optimise ways of working, standards, and tooling across teams
• You will partner closely with senior stakeholders across engineering, product, and commercial functions
• You will drive AI adoption and transformation, focusing on productivity, efficiency, and decision quality
• You will oversee hiring, development, and progression of managers and senior individual contributors
• You will contribute to modelling, architectural, and probabilistic machine learning strategy where needed

Your Skills & Experience

• Strong experience leading and scaling data science teams, including managing managers and senior ICs
• Clear examples of commercial impact delivered through data science or AI initiatives
• Experience working with models in production and understanding trade offs between rigour, speed, and value
• Ability to operate strategically while remaining technically credible at model and methodology level
• Recent experience driving AI adoption or transformation, with evidence of value created
• Strong stakeholder management and communication skills with senior decision makers
• Academic background in a quantitative discipline such as statistics, mathematics, physics, or similar

What They Offer

• Base salary of £150,000 to £170,000
• Hybrid working with 2 to 3 days per week in the London office
• A senior leadership role with high autonomy and strong executive sponsorship
• The chance to shape how data science and AI are applied across a profitable, scaling business
• A comprehensive benefits package and long term progression opportunities

How to Apply
If you are a senior data science leader looking to drive impact at scale in a commercially focused environment, please apply to learn more.

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