To Apply for this Job Click Here

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.

To Apply for this Job Click Here

To Apply for this Job Click Here

Product Director, Molecule Design
London (Hybrid) | Competitive salary between £90,000 and £110,000 benefits package

This is a rare opportunity to take ownership of a strategically critical product area at the intersection of science, data and AI. You will build and lead a new UK-based product team, shaping AI enabled products that directly support drug discovery and scientific decision making at scale.

The Company

They are a global life sciences organisation investing heavily in a central data and AI platform designed to transform how scientific data is accessed, analysed and applied across R&D. The platform underpins AI and machine learning at enterprise scale and delivers real end user products for scientists, not just infrastructure. Molecule design is a core strategic pillar, central to accelerating discovery timelines and improving research productivity.

The Role

As Product Director for Molecule Design, you will define and lead the product vision, strategy and delivery for a portfolio of AI powered scientific products. You will play a key role in scaling the UK product organisation and shaping how AI is embedded into scientific workflows.

Key responsibilities include:

• Setting the product vision and roadmap for molecule design tools and platforms.
• Building, hiring and mentoring a high performing UK based product team.
• Driving AI enabled product development across compound design, optimisation and evaluation.
• Partnering closely with scientific, engineering and data teams to deliver impactful products.
• Supporting organisational growth and restructuring by establishing clear product leadership.
• Ensuring products integrate effectively with complex scientific and molecular datasets.

Your Skills & Experience

• Strong experience leading technical or platform product teams.
• A background in scientific environments such as pharma, biotech or drug discovery.
• Exposure to AI, machine learning or data driven products in production.
• The ability to operate credibly with scientists, engineers and senior stakeholders.
• Experience mentoring, managing or leading other product managers.
• A blend of strategic thinking and hands on product execution.
• An academic or professional background aligned to life sciences, computer science, chemistry or related fields, with experience outweighing formal qualifications.

What They Offer

• A senior leadership role with clear strategic importance.
• The opportunity to build and scale a new product team in the UK.
• Significant influence over AI enabled scientific product development.
• Competitive salary, benefits and long term career progression.
• A collaborative environment working on complex, high impact scientific challenges.

How to Apply

If this role sounds like your next move, apply below!

To Apply for this Job Click Here

To Apply for this Job Click Here

Head of Data Science

London, Hybrid working (2 to 3 days per week in office). Offering a competitive salary between £150,000 to £160,000 base.

This is a senior leadership opportunity to shape and scale a high impact data science function at the heart of a profitable, fast growing fintech. The role offers significant autonomy and the chance to influence how data science drives commercial decision making across an established UK business.

The Company

They are a London based fintech providing credit and financing solutions to small and medium sized businesses. Operating in a highly data driven environment, they have built a profitable, automated lending platform supported by sophisticated statistical and machine learning models. The business is well capitalised, commercially mature, and continuing to invest heavily in data science as a core differentiator.

The Role

As Head of Data Science, you will lead a multi team data science function that underpins decisions across credit, product, operations and commercial strategy. Your focus will be on maximising the value of data science across the organisation while ensuring the function scales effectively.

Key responsibilities include:

• Setting direction for the data science function and ensuring work is aligned to core business and profitability metrics such as customer lifetime value.
• Leading, hiring and developing a large team of data scientists, including managers and senior individual contributors.
• Improving efficiency, standards and ways of working across multiple data science sub teams.
• Partnering closely with senior stakeholders across product, engineering, operations and commercial teams to ensure insights are embedded in decision making.
• Overseeing the use of probabilistic and machine learning models in production environments and contributing to longer term technical and modelling strategy.
• Helping the business prioritise where data science delivers the greatest commercial impact.

Your Skills & Experience

• Strong experience leading and scaling sizeable data science teams, including managing managers and individual contributors.
• A track record of driving measurable commercial impact through data science in a complex business environment.
• Experience operating in cross functional settings and influencing senior stakeholders.
• Deep understanding of probabilistic modelling, statistics and machine learning, ideally grounded in an academic background such as mathematics, statistics, physics or a related field.
• The ability to balance rigour with pragmatism, ensuring models and analysis deliver real world value.
• Experience building or operating data science functions where work is deployed into production.
• UK based experience and the right to work in the UK, with sponsorship available if required.

What They Offer

• Competitive base salary of £150,000 to £160,000.
• Hybrid working model with 2 to 3 days per week in the London office.
• Significant autonomy and resource to shape the function and its future growth.
• The opportunity to lead a large, well established data science team in a profitable and growing business.
• Clear scope to influence strategy, structure and long term direction of data science across the organisation.

How to Apply

If this sounds like the role for you, apply below or email me at

To Apply for this Job Click Here

To Apply for this Job Click Here

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

To Apply for this Job Click Here

To Apply for this Job Click Here

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

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Science Manager
Location: Canada | EST Hours Required

Salary: $175-220k base + bonus

We’re partnering with a high-growth product company to hire a Data Science Manager to both ship production ML systems and build a high-performing team.

This is a true player-coach role: you’ll stay hands-on with modeling and system design while setting technical direction, hiring, and mentoring data scientists. The expectation is clear: deliver models that move retention, conversion, and revenue.

You’ll join a small, autonomous data science team with impact across Product, R&D, Finance, and GTM. The team builds customer-facing data products such as recommendation systems, churn models, and experimentation frameworks that influence how millions of users discover value.

It’s startup-level ownership with the scale and data of a large, active user base.

What You’ll Do

• Design and ship recommendation engines, churn models, and experimentation infrastructure, staying hands-on in code as the team scales
• Define success metrics, monitor production models, and iterate until business results improve
• Hire, coach, and develop data scientists; set a high bar for ownership, craft, and impact
• Partner closely with Product, R&D, Finance, and GTM to identify high-leverage problems and deliver adopted solutions
• Make pragmatic decisions around tooling, architecture, and methodology, balancing speed with long-term maintainability

What We’re Looking For

• 6+ years building and deploying consumer-facing ML systems in production
• 2+ years leading or managing data scientists or ML engineers
• Experience building teams, not just operating as an IC
• Strong Python skills
• Experience with Databricks or similar ML platforms
• Comfort across the full ML lifecycle: experimentation, feature engineering, training, deployment, monitoring
• Proven ability to translate ambiguous business problems into measurable ML outcomes
• Strong bias toward shipping, iteration, and impact
• Sound judgment on when to ship an MVP vs. invest in robustness
• Actively uses AI tools to accelerate development and expects the same from their team

Nice to Have

• Experience with experimentation platforms or causal inference
• Background in subscription or SaaS businesses
• Familiarity with TypeScript or production engineering practices

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist

Manchester (2 days on site)

A high‑growth SaaS scale‑up is hiring a Senior Data Scientist to build their first production AI capabilities. You will work end to end across ideation, prototyping, and deployment, shaping how customers detect fraud, block invalid traffic, and optimise real‑time behavioural analytics.

The Company

They are a rapidly scaling SaaS business specialising in privacy‑compliant, cookieless analytics.

They process billions of data rows weekly to prevent wasteful and fraudulent traffic.

Their platform uniquely combines real‑time behaviour modelling, fraud detection, and optimisation.

The Role

* Deliver full lifecycle AI and ML projects from prototype to production.

* Build applied AI workflows including LLMs, NLP, and RAG‑based solutions.

* Work with large and messy tabular datasets to create high‑impact models.

* Develop classification and optimisation approaches to enhance customer outcomes.

* Partner with Product and Engineering to integrate models into the platform.

* Lead the transition toward a more AI‑driven product ecosystem.

Your Skills and Experience

* Strong commercial experience deploying AI and ML systems into production.

* Hands‑on experience with LLMs, NLP, or retrieval‑augmented workflows.

* Confident working with large‑scale tabular datasets and complex data environments.

* Cloud experience, ideally AWS, plus familiarity with MLOps practices.

* Background in product‑focused environments or consultancy.

* Ability to evidence measurable business impact from previous technical projects.

What They Offer

* Hybrid working with two office days weekly.

* High levels of ownership across AI strategy and delivery.

* Opportunity to build the company’s first production AI systems.

* Collaborative culture within a scaling SaaS environment.

* Clear progression as the AI function grows.

How to Apply

To register your interest, please apply with your CV.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist

London
£70,000 to £90,000 plus benefits

This is an exciting opportunity to join a high‑growth tech business where data science sits at the heart of product innovation. You will shape new AI‑driven capabilities, work with cutting‑edge machine learning, and help transform how customers understand and prevent complex digital challenges.

The Company

They are a fast‑scaling SaaS organisation operating at the intersection of AI, machine learning, and real‑time behavioural data. Their platform processes billions of events daily and solves technically challenging problems in a rapidly evolving domain. With data science embedded into their core product, this team plays a critical role in defining the next generation of their offering.

The Role

• Lead the end‑to‑end development of new ML and AI capabilities, from rapid prototyping through to production deployment.
• Build MVPs and collaborate closely with Engineering and Product teams to bring ideas to life.
• Apply advanced machine learning and LLM techniques, including RAG, agents and NLP, where they drive meaningful customer and product impact.
• Work with large‑scale datasets in cloud environments to deliver robust, scalable systems.
• Contribute to product strategy through strong experimentation, technical insight, and pragmatic decision‑making.

Your Skills and Experience

• Strong experience delivering production‑grade ML systems end to end.
• Proficiency in Python and SQL, with experience working on cloud‑scale datasets.
• Practical experience with LLMs and applied AI, such as RAG, agents, or NLP.
• Experience building customer‑facing or product‑centric ML systems.
• A product‑focused mindset, balancing experimentation with real‑world value.

Useful additional experience includes:

• AWS or GCP environments (SageMaker, Bedrock, Lambda, S3, Redshift).
• MLOps practices (monitoring, deployment, optimisation).
• Working with streaming data, transformer models or recommendation systems.

What They Offer

• £70,000 to £90,000 salary.
• Hybrid working with two days onsite.
• 35 days annual leave including bank holidays.
• £500 annual wellbeing budget.
• Up to £1,500 home office setup budget.
• Company pension contribution at 3 percent.

How to Apply

If you are interested in this Senior Data Scientist opportunity, please apply with your CV or email me at

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist
London or Leicester, hybrid working, £60,000 to £75,000 plus bonus

If you enjoy solving complex, open ended problems and want your models to directly influence real world decisions, this role stands out. You will work in a highly analytical environment where data science is central to pricing strategy, with the freedom to experiment, challenge assumptions, and build genuinely innovative solutions.

The Company

They are a large, digitally focused organisation operating in a consumer market rich with data and complexity. Analytics and data science sit at the heart of how the business assesses risk, prices products, and drives sustainable growth. Significant ongoing investment in technology and cloud infrastructure means data teams are well supported to innovate and deliver impact at scale.

The Role

• Build and improve predictive models that shape pricing and customer selection strategies.
• Work with large, messy datasets to uncover insight and improve commercial outcomes.
• Develop and iterate on advanced machine learning models, including gradient boosting approaches.
• Explore alternative and novel data sources, including geospatial style data, to enhance pricing accuracy.
• Take ownership of models from early exploration through to deployment and iteration.
• Collaborate closely with stakeholders across pricing, analytics, and engineering.
• Support and mentor junior colleagues, contributing to a strong team culture.

Your Skills & Experience

• Strong commercial experience in data science or applied machine learning.
• Demonstrable experience building predictive models used in pricing, risk, or customer decisioning.
• Confidence working end to end across the modelling lifecycle, from problem definition to deployment.
• Strong Python and SQL skills, with experience working in cloud based environments.
• Ability to communicate modelling approaches and results clearly to non technical stakeholders.
• A curious mindset with an interest in improving pricing accuracy through data and innovation.

What They Offer

• Salary between £60,000 and £75,000.
• Additional cash bonus on top of base salary.
• Hybrid working with one day per week in the office.
• Exposure to highly visible, business critical modelling work.
• Strong progression and development opportunities within an established data science function.

How to Apply
Apply now to explore how this Senior Data Scientist role could be the next step in your career.

To Apply for this Job Click Here