To Apply for this Job Click Here

Data Scientist

£45,000 – £48,000

Hybrid – Merseyside (3 days per week in the office)

This is a strong opportunity for a commercially minded Data Scientist to join a business at a

genuine inflection point in its Data and AI journey. You will play a key role in moving the organisation from ad-hoc analytics to a scalable, production-led Data Science capability, with clear backing from leadership and real-world use cases already live.

The Company

They are a large retail organisation undergoing a significant data and AI transformation. With a new customer loyalty programme launching this year, demand for advanced modelling, forecasting and personalisation is growing quickly. The culture is collaborative, inclusive and pragmatic, with a strong focus on delivering value at pace rather than over-engineering solutions. Getting models into production and driving measurable impact is a core priority.

The Role

You will work hands-on within a small but growing Data Science function, partnering closely with the Data Science Lead, another Data Scientist, and wider data and commercial teams.

Key responsibilities include:

• Designing and building customer-focused Data Science use cases such as segmentation, lifetime value modelling and demand forecasting
• Developing, testing and deploying machine learning models end to end, from problem definition through to production
• Contributing to the development of a new Data Science platform and helping shape best practice as the function matures
• Working closely with Data Engineers and Analysts to ensure data quality, scalability and smooth model deployment
• Engaging with commercial and customer stakeholders to translate business problems into practical modelling solutions
• Communicating insights, model outputs and business impact clearly to non-technical audiences

Your Skills and Experience

To succeed in this role, you will bring a practical, business-led approach to Data Science.

Key requirements include:

• Strong commercial experience using Python for Data Science and machine learning
• Solid SQL skills and confidence working with large, complex datasets
• End-to-end Data Science experience, including taking models into production
• Experience applying statistical modelling or machine learning to real business problems
• Confidence working with stakeholders and explaining technical concepts in a clear, credible way

Nice to have:

• Exposure to cloud platforms such as GCP or Azure
• Experience with model deployment tools such as Vertex AI or Azure ML
• Any background in customer analytics, forecasting or personalisation

What They Offer

• Salary of £45,000 to £48,000
• Hybrid working, with three days per week on site in Knowsley
• The chance to help build a Data Science capability from an early stage
• High visibility work tied directly to customer and commercial outcomes
• Clear opportunity to grow alongside the team as Data Science scales across the business

How to Apply

If you are a hands-on Data Scientist looking to work on production-focused, customer-led use cases in a collaborative environment, apply now to find out more.

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

Staff Data Scientist, Finance – Consumption Forecasting

Location: San Francisco or New York | Hybrid (3 days per week in office)

Salary: $240-300k base + bonus + equity (RSUs)

This is a rare chance to own forecasting infrastructure at the center of a high-growth, consumption-based developer platform, one that powers some of the world’s most dynamic applications and scales with every developer and enterprise building on it.

As a consumption-based business, forecasting usage across compute, bandwidth, edge, and storage isn’t a support function. It’s foundational to how we plan infrastructure, revenue, and long-term strategy. This role exists to lead that work at the highest level.

What you’ll own

This is a senior individual contributor role with organization-wide impact. You’ll define forecasting methodology, build systems that scale with a rapidly growing platform, and sit at the intersection of Finance, Infrastructure, Product, and GTM with direct visibility to executive leadership.

• Own production revenue forecasting end-to-end: model development, backtesting, deployment, monitoring, and iteration from first principles to live system
• Build forecasting systems that account for usage-based pricing dynamics, consumption patterns, and customer lifecycle across the platform, built for how this business actually works, not retrofitted SaaS models
• Design hierarchical forecasting models across account, cohort, segment, and global aggregate levels, covering operational, quarterly, and long-range planning cycles
• Establish backtesting, monitoring, and explainability standards that make forecast accuracy transparent and defensible
• Build scenario simulation frameworks to evaluate pricing changes, packaging adjustments, and product launches
• Partner with Finance on board-level reporting, with Infrastructure Engineering on capacity planning, and with Product and GTM on adoption curves and usage drivers
• Set forecasting best practices across the broader Data organization

What we’re looking for

• 7+ years in data science, quantitative analytics, or applied statistics at senior or staff level
• Deep expertise in time-series forecasting and statistical modelling in a usage-based or SaaS environment
• Proven track record building and productionizing ML systems at scale
• Strong Python and SQL, with experience on large-scale usage and billing datasets
• Familiarity with probabilistic modelling, hierarchical forecasting, and causal inference
• Experience partnering with Finance or executive leadership on planning cycles
• Comfortable operating autonomously in fast-moving, ambiguous environments

Nice to have

• Background in cloud infrastructure, developer tools, or consumption-based revenue models
• Familiarity with modern data stacks: Snowflake, Delta Lake, dbt, Airflow
• Prior technical mentorship or informal leadership experience

To Apply for this Job Click Here

To Apply for this Job Click Here

Associate Consultant, Data Science and AI
London Victoria | £63,000 base plus benefits and up to 20% bonus

This role stands out for the breadth, pace and impact of the work. You will sit at the heart of a growing Data Science and Analytics capability, combining consulting exposure with hands-on delivery across analytics, applied data science and AI transformation. It is a chance to build solutions that are not just advised on, but designed, built and deployed into real client environments.

The Company
They are a globally recognised strategy consultancy with a strong and expanding investment in Data Science, Analytics and AI across Europe. The organisation works across a wide range of industries and is increasingly focused on delivering practical, technical solutions alongside traditional strategy work. Their Data and Analytics team collaborates closely with consultants and a digital product group to create tools and systems with long-term impact.

The Role
You will work across both client delivery and internal innovation, gaining early ownership and exposure to varied projects.

• Deliver analytics and applied data science solutions for client engagements
• Build dashboards, perform statistical analysis and develop machine learning models
• Support AI workflow automation and internal data or AI product development
• Deploy systems directly into client environments
• Contribute to stakeholder workshops, demos and problem-solving sessions
• Work across sectors including healthcare, life sciences, transport and logistics, and financial services

Your Skills & Experience
You are a pragmatic data scientist who enjoys working in consulting-style environments and turning ideas into outcomes.

• Strong commercial Python capability with solid data science and ML foundations
• Confidence communicating complex ideas clearly to non-technical audiences
• Good coding and software engineering practices
• A proactive, self-starting approach and comfort working with ambiguity
• Interest in applied AI, automation and technology-led transformation

Experience with SQL, cloud platforms, deployment, APIs or LLM-based workflows would be beneficial but is not essential.

What They Offer

• £63,000 base salary with up to 20% annual bonus
• Hybrid working from a central London office
• Early responsibility and autonomy on high-impact work
• Exposure to AI transformation and system deployment projects
• Strong learning culture with clear progression as the team continues to scale
• Supportive, high-performing and collaborative environment

How to Apply
If you are looking for a role where your data science skills influence real decisions and real systems, apply now to learn more.

To Apply for this Job Click Here

To Apply for this Job Click Here

Clinical Data Scientist
San Francisco, California

Remote

$160,000 – $190,000 + Equity

About the Company

This innovative health tech startup is working to improve the oncology drug development process by providing better patient data to drug developers as well as better access to clinical trials for patients. This series B startup is expending to meet demand.

About the Role

As a Clinical Data Scientist, you’ll execute the last leg of the clinical data pipeline by transforming, cleaning, validating, and delivering high‑quality clinical datasets for pharma partners. Heavy collaboration with Clinical Ops, AI Engineering, and Data Delivery.

Role Responsibilities

• Transform raw, abstracted, and AI‑processed data into CDISC SDTM/ADaM datasets
• Program statistical outputs (tables, listings, figures) in SAS/R/Python
• Investigate data anomalies across multiple messy data inputs
• Define data dictionaries and standards before study kickoff
• Handle data in a HIPAA‑aligned manner

Key Requirements

• 2-5 years in clinical data science, stat programming, or clinical data management
• Pharma/Biotech experience
• SAS, R, Python, SQL
• Real‑world clinical data or oncology trials
• CDISC SDTM/ADaM

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist

London – Remote

The Company

They are a global, data-driven technology business operating at the intersection of AI, advanced analytics and large-scale data platforms. Their products are used internationally to generate insight from complex datasets and to support better decision-making. With a strong focus on innovation and collaboration, they invest heavily in modern AI capabilities and encourage their teams to explore new approaches. The culture values curiosity, accountability and clear communication across technical and non-technical teams.

The Role

• Lead the research, development and validation of advanced machine learning models, including Generative AI and large language models.
• Design and deliver synthetic data and data augmentation solutions that enhance existing data assets.
• Run complex statistical experiments to test model performance and validate hypotheses.
• Work closely with Product and Engineering to move models from prototype into scalable, production-ready solutions.
• Translate business problems into clear, data-driven AI initiatives and communicate outcomes to a broad range of stakeholders.
• Contribute to the wider AI and data science roadmap, setting best practice and technical standards.

Your Skills and Experience

• Strong commercial experience as a Data Scientist working on end-to-end machine learning projects.
• Deep understanding of Generative AI, large language models and their application to text generation or data synthesis.
• Advanced Python skills within a data science and machine learning stack, alongside strong SQL capability.
• Solid grounding in statistical methods, experimentation and model evaluation.
• Experience working with large-scale datasets and modern data platforms.
• Ability to explain complex technical concepts clearly to non-technical audiences.

What They Offer

• The chance to work on cutting-edge AI and synthetic data problems at global scale.
• Clear opportunities for progression and technical influence as the AI function continues to grow.
• A collaborative, inclusive environment that supports learning and innovation.

How to Apply
If this role aligns with your experience and career goals, please apply to discuss the opportunity in more detail.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist, Synthetic Data and GenAI
Fully Remote, UK. Salary up to £98,000

This is a rare opportunity to help shape a brand new synthetic data capability at a critical point of growth. You will join a newly formed team focused on applying Generative AI and LLMs to real world market research problems, with genuine ownership, autonomy, and visibility across product, engineering, and clients.

The Company
They are a global technology business operating at the intersection of data, research, and AI. With a strong foundation in large scale, consented data, they are now investing heavily in AI driven products that improve insight quality, speed, and coverage. This initiative sits at the core of their future product strategy and is backed by significant internal investment.

The Role
You will play a key role in building and deploying AI powered synthetic data products, working end to end from problem definition through to production and client adoption.
Key responsibilities include:

• Designing, validating, and deploying LLM based synthetic data models
• Generating synthetic survey responses across open text and structured formats
• Building systems that augment real respondent data while preserving statistical integrity
• Partnering closely with Engineering and Product to productionise models
• Explaining and defending methodologies to non technical and client facing stakeholders

Your Skills and Experience

• Strong commercial experience applying Generative AI and LLMs in production environments
• Solid NLP capability across text generation, analysis, and augmentation
• Strong grounding in statistics and experimental design, with a clear approach to validation
• Expert level Python and strong SQL skills
• Confidence working with large, complex datasets and collaborating with engineering teams
• Ability to communicate complex concepts clearly to technical and non technical audiences

Experience with synthetic data, prompt engineering, fine tuning open source models, cloud platforms, or survey and market research data would be beneficial, but is not essential.

What They Offer

• Salary up to £98,000 depending on experience
• Fully remote working with optional London meet ups
• High autonomy within a lean, impact driven team
• The chance to work on genuinely novel GenAI products with real world application
• Clear scope for progression as the synthetic data platform scales

How to Apply
If you are excited by applied GenAI, synthetic data, and building products that will define the future of data driven insight, apply now to learn more.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist
Remote (UK or EU)

This is a rare opportunity to join a newly formed team building applied Generative AI products that sit at the heart of a company’s future data and insights strategy. You will play a senior, hands-on role shaping how synthetic data and LLMs are used in real-world, commercial environments, with high autonomy and clear ownership from day one.

The Company
They are a global technology business operating at the intersection of data, research, and AI. Their platform enables organisations to generate high-quality insights using large-scale, consented data, and they are now investing heavily in AI-driven innovation. With strong backing and a clear product roadmap, they are focused on responsibly augmenting human data with advanced machine learning and synthetic intelligence.

The Role

• Design, build, and deploy Generative AI and LLM-based solutions for synthetic data generation and data augmentation
• Develop and validate statistical and machine learning methodologies to ensure data quality, reliability, and trust
• Work closely with Product and Engineering to take models from experimentation through to production
• Build systems that enhance real-world data rather than replace it, including open-text and structured outputs
• Communicate complex technical concepts clearly to non-technical stakeholders and external clients
• Operate end to end across problem definition, modelling, validation, and delivery

Your Skills and Experience

• Strong commercial experience applying Generative AI and Large Language Models in production environments
• Deep knowledge of NLP, text generation, and modern machine learning techniques
• Excellent grounding in statistics, experimental design, and model validation
• Expert Python skills within a data science or machine learning stack, plus strong SQL
• Experience working with large, complex datasets and collaborating with engineering teams
• Confidence explaining methodology, limitations, and impact to a broad range of stakeholders
• Exposure to synthetic data, prompt engineering, RAG, or cloud-based data platforms is beneficial but not essential

To Apply for this Job Click Here