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Senior Data Scientist, Pricing
London| Competitive Salary up to £75,000 + Bonus + Car Allowance
This is an opportunity to join a highly data-driven organisation where pricing, analytics, and machine learning sit at the heart of business strategy. You will work on innovative data science initiatives that directly influence risk assessment, pricing decisions, and commercial performance, while helping to shape the next generation of predictive modelling capabilities.
The Company
They are a well-established consumer-focused organisation undergoing significant investment in data, analytics, and technology. With a strong emphasis on innovation, they use advanced machine learning and predictive modelling to support strategic decision-making and deliver better customer outcomes.
Their analytics community brings together Data Scientists, Analysts, and Data Engineers who collaborate to solve complex business challenges. They foster a culture of curiosity, continuous improvement, and knowledge sharing, creating an environment where new ideas are encouraged and valued.
The Role
You will play a key role in building and deploying advanced machine learning solutions that support pricing and risk decision-making.
Responsibilities include:

• Developing predictive models focused on risk, claims outcomes, fraud detection, and other key business metrics.
• Creating and maintaining analytical tools that improve portfolio management and commercial performance.
• Identifying, evaluating, and extracting value from new internal and external data sources.
• Engineering new features and rating factors to enhance existing pricing algorithms.
• Managing the full machine learning lifecycle, from exploratory analysis through to deployment, monitoring, and model refresh activities.
• Working closely with Data Scientists, Data Engineers, Analysts, and business stakeholders to translate challenges into impactful solutions.
• Exploring emerging machine learning techniques and assessing their commercial application.

Your Skills & Experience

• Strong commercial experience delivering machine learning projects from initial exploration through to deployment and ongoing optimisation.
• Advanced Python and SQL skills.
• Experience with Azure Machine Learning, Azure cloud technologies, and Git.
• Proven ability to communicate technical concepts to a range of stakeholders and influence decision-making.
• Experience working across multidisciplinary data and analytics teams.
• Strong problem-solving capabilities and a track record of delivering high-quality analytical solutions.
• An interest in applying innovative data science techniques to real-world business challenges.

What They Offer

• Competitive salary package.
• Annual performance bonus.
• Car allowance.
• Hybrid and flexible working arrangements.
• Private medical insurance.
• Generous pension contributions and life assurance.
• Income protection and a broad range of financial wellbeing benefits.
• Employee assistance and wellbeing support programmes.
• 27 days annual leave plus bank holidays, with additional flexibility options.
• Ongoing training, development, and clear opportunities for career progression within a growing data science function.

How to Apply
If you are a Senior Data Scientist with strong machine learning expertise and a passion for solving commercial problems through advanced analytics, apply today to discuss this opportunity in more detail.

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HEAD OF ENGINEERING
Remote (UK)
up to £130,000

HEAD OF ENGINEERING
This is a great opportunity to join a high‑growth organisation where you can take ownership of the Engineering function and play a critical role in scaling a sophisticated AI‑driven platform used by leading pharmaceutical companies.

THE COMPANY:

This business is operating at the intersection of AI, data science and pharmaceutical R&D with a mission is to make discoveries faster, smarter and more efficient.

THE ROLE:

You will take ownership of the Engineering function, providing leadership across technical delivery, people management and engineering operations. Key responsibilities include:

• Leading and scaling the Engineering team as the business grows
• Establishing strong engineering processes, standards and ways of working
• Providing architectural oversight and technical direction across the platform
• Ensuring high‑quality, on‑time delivery of complex, enterprise‑grade projects
• Developing, mentoring and supporting senior engineers and technical leaders

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Hands‑on engineering leadership within fast‑paced startup environments
• Backend, data engineering or full‑stack systems at scale
• Technical strategy, architecture and long‑term platform design
• Managing and empowering highly capable senior engineers
• Cross‑functional delivery, stakeholder management and prioritisation
• Experience with KGs (knowledge graphs) and Neo4J

THE BENEFITS:

You will receive a salary up to £130,000 depending on experience, along with a comprehensive benefits package. This is a fully remote role within a growing Series A business, offering significant scope for impact, ownership and progression.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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Data Scientist
London or Leicester (2 days per week)

Join a growing Data Science team where you’ll build machine learning solutions that directly influence customer engagement, retention, and commercial performance. This is a highly visible role with significant stakeholder exposure and the opportunity to work on both strategic initiatives and high-impact business challenges.

The Role

• Build and improve machine learning models focused on retention, engagement, customer lifetime value, and forecasting
• Develop anomaly detection solutions to identify issues impacting customer journeys and performance
• Design and evaluate experiments, including A/B testing
• Partner with Product, Marketing, Finance, CRM, and Commercial teams to solve business problems
• Translate complex analysis into actionable recommendations for stakeholders

Your Skills & Experience

• Strong commercial Data Science experience in customer, marketing, ecommerce, loyalty, or subscription environments
• Advanced Python and SQL skills
• Experience building predictive models and deploying data-driven solutions
• Strong understanding of experimentation, statistics, and machine learning
• Excellent stakeholder management and communication skills
• Experience with Databricks and ML lifecycle tools is beneficial

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Lead Analyst

£80,000 – £90,000 + bonus

Hybrid – Nottinghamshire (2x days per week)

This is a rare opportunity to build and lead a central Analytics function within a business undergoing a significant data transformation. With a modern data platform already in place and strong investment across technology, data and digital, you will shape how analytics delivers measurable commercial value across the organisation.

The Company
They are a well-established UK financial services organisation with a strong heritage and a clear focus on modernisation. Significant investment has been made to transform their data and technology landscape, including the implementation of Microsoft Fabric as their enterprise data platform. With a strong Data Engineering foundation in place, the business is now focused on building a best-in-class Analytics function. This is a key hire within a high-profile transformation programme.

The Role
You will lead the Analytics Centre of Excellence and embed insight-led decision making across the organisation.
You will:

• Lead and develop the central Analytics function and Centre of Excellence
• Manage and grow a team of Data Analysts and Data Scientists
• Partner with senior stakeholders to translate business challenges into analytical solutions
• Drive adoption of self-service analytics across multiple business areas
• Develop semantic models, dashboards and analytical products using Microsoft Fabric and Power BI
• Deliver insight and decision-support tools rather than static reporting
• Support advanced analytics, predictive modelling and AI use cases
• Influence business strategy through clear data storytelling and actionable insight
• Work closely with Data Engineering while owning the Analytics roadmap
• Build engagement and promote a data-driven culture across the business

Your Skills and Experience

• Experience leading Analytics, Insight or BI teams
• Proven ability to influence and engage senior stakeholders, with clear examples of delivering measurable commercial impact
• Strong hands-on expertise with Power BI and data visualisation
• Experience developing semantic models and scalable analytics solutions
• Commercial mindset with a focus on driving business value through data
• Experience building and scaling self-service analytics capabilities
• Understanding of advanced analytics, modelling and AI concepts
• Comfortable operating strategically while remaining hands-on
• Experience working alongside Data Engineering teams
• Background in financial services or another regulated industry is beneficial

What They Offer

• Salary up to £90,000 plus discretionary bonus
• Hybrid working with two days onsite in Nottingham
• Competitive pension, life assurance and income protection
• Healthcare and wellbeing support
• Generous annual leave with the option to purchase additional days
• Strong focus on learning, development and career progression
• Opportunity to build and shape a high-impact Analytics function

How to Apply
If you are interested in shaping a modern Analytics function and driving real business impact, please apply with your CV.

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DATA ENGINEER

$120K-$140K Base + Equity + Benefits

Hybrid – San Francisco Bay Area

The Opportunity

Join a well-funded, high-growth company modernizing a complex, operations-heavy industry through technology, automation, and data-driven decision making.

This position offers the chance to work alongside the organization’s lead data professional as the second member of a growing team, helping build and scale the data foundation that supports operational planning, supply chain visibility, project execution, and business performance reporting.

You’ll have significant exposure across the business, meaningful ownership from day one, and the opportunity to influence critical systems during an exciting stage of growth.

What You’ll Do

• Manage, enhance, and support a portfolio of production data integrations and workflows
• Develop scalable ETL processes and data infrastructure to support evolving business requirements
• Collaborate with teams spanning operations, business systems, finance, logistics, and project delivery
• Improve data quality and ensure consistency across key operational platforms
• Create greater transparency into resource utilization, asset tracking, workflow progress, and operational health
• Acquire, transform, and operationalize external data sources to support strategic analysis and planning
• Monitor, troubleshoot, and optimize data workflows for reliability and performance
• Contribute to data governance initiatives, engineering standards, and scalable analytics practices
• Partner with both technical and business stakeholders to translate operational needs into data solutions

Preferred Technologies & Experience

• SQL, ETL development, and data modeling
• Python and modern scripting languages
• dbt, Spark, Databricks, or comparable data tooling
• Experience integrating with ERP, operational, or enterprise systems
• APIs, transactional systems, third-party datasets, and business applications

What They’re Looking For

• 2-4 years of experience in Data Engineering, Analytics Engineering, or a related field
• Advanced SQL skills and strong data modeling fundamentals
• Hands-on experience building, supporting, and monitoring production data pipelines
• Strong communication skills and the ability to work cross-functionally with business stakeholders
• A versatile, startup-oriented mindset with experience solving a broad range of technical challenges
• Experience working in operational, transactional, or ERP-driven environments
• Exposure to inventory, supply chain, finance, manufacturing, or business systems data is a plus
• Experience with modern analytics engineering and data platform technologies is highly desirable
• Must be authorized to work in the United States without current or future sponsorship requirements

Why This Role

• Join a company entering its next phase of growth and operational scale
• Play a foundational role in shaping a growing data function
• Work on business-critical initiatives that directly impact execution, efficiency, and decision-making
• Enjoy meaningful autonomy and ownership from the start
• Partner closely with leaders across multiple functions and gain broad business exposure
• Help build the systems and processes that support long-term growth in a fast-moving environment

This is an excellent opportunity for a data professional who enjoys owning end-to-end pipeline development, partnering with stakeholders across the business, and helping scale data capabilities in a high-growth environment.

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MACHINE LEARNING SCIENTIST – FOUNDATION MODELS (AI + BIOLOGY)

United States – REMOTE

$225,000 – $275,000 Base + Equity

The Opportunity

Join a world-class AI research team focused on building foundation models from scratch for biology and scientific discovery.

This is a highly technical, research-driven role for scientists who are excited by first-principles model development, large-scale representation learning, and advancing the frontier of AI in complex scientific domains. You’ll work on proprietary, multimodal biological datasets and help develop the next generation of foundation models designed to uncover insights that traditional approaches cannot.

What You’ll Do

• Design, train, and evaluate novel foundation models on large-scale biological and multimodal datasets.
• Develop new approaches in representation learning, self-supervised learning, generative modeling, and model architectures.
• Conduct research across training objectives, data curation, scaling strategies, and model evaluation.
• Build and run experiments to rapidly test hypotheses and iterate on new ideas.
• Own research projects end-to-end while collaborating with ML researchers, computational biologists, and domain experts.

What We’re Looking For

• PhD or equivalent research experience in ML, AI, Computer Science, Computational Biology, Physics, Mathematics, Statistics, or a related quantitative field.
• Strong track record of original research through top-tier publications (e.g., NeurIPS, ICML, ICLR, CVPR, Nature Machine Intelligence) and/or impactful industry research.
• Experience developing models from first principles, including architecture design, training methodology, and evaluation.
• Deep expertise in foundation models, representation learning, multimodal learning, generative modeling, self-supervised learning, or large-scale deep learning.
• Strong Python/PyTorch skills with the ability to independently drive research and communicate findings effectively.

Why This Role

• Build foundation models from scratch, not just applications on top of existing models.
• Work on frontier AI research with direct impact on biology, healthcare, and scientific discovery.
• Train models on large, proprietary datasets purpose-built for next-generation AI systems.
• Join a research-first team with significant autonomy, ownership, and influence on technical direction.
• Competitive compensation, meaningful equity, and flexible hybrid/remote work options.

If you’re excited about designing new model architectures, pushing the boundaries of foundation model research, and applying AI to some of the most important scientific challenges of our time, we’d love to talk.

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Product Analyst
£60,000 – £70,000 + benefits
Hybrid – Manchester (3x days per week)

This is an opportunity to join a highly regarded digital business that reaches millions of consumers every week. Sitting within a cross functional product environment, you will use data to shape customer experiences, influence product strategy, and drive measurable business outcomes. You will take ownership of key analytics initiatives while helping to develop best practice across a growing analytics community.

The Company
They are a leading consumer focused digital organisation with a strong technology and data driven culture. Their platform supports millions of users, helping customers research, compare, and make informed purchasing decisions.
Data plays a central role in decision making across the business, and analytics is deeply embedded within product development. They offer a collaborative environment where analysts work closely with Product, Engineering, Design, and Research teams to solve complex customer challenges.

The Role
As a Senior Data Analyst, you will:

• Partner with product teams to define success metrics and measurement frameworks
• Establish robust governance, monitoring, and reporting standards for key product areas
• Design and develop data products in collaboration with data and engineering teams
• Drive improvements to tracking and measurement capabilities across digital products
• Lead experimentation and A/B testing programmes, providing actionable recommendations
• Support product discovery by working alongside Design and User Research teams
• Influence senior stakeholders through clear, evidence based insights
• Identify opportunities to improve customer journeys, engagement, and product performance
• Mentor and support other analysts within the wider analytics community
• Contribute to the development of analytics frameworks, standards, and best practices

Your Skills & Experience

• Strong commercial experience within consumer facing digital product environments
• Experience analysing complex customer journeys and behavioural data
• Knowledge of experimentation methodologies and statistical inference techniques
• Familiarity with product analytics and user behaviour tracking tools, such as Google Analytics or similar platforms
• Advanced SQL skills and working knowledge of Python
• Understanding of ETL processes and core data engineering concepts
• Ability to translate complex analysis into clear business recommendations
• Experience delivering analytics projects within cross functional teams
• Proven capability in mentoring, coaching, or leading analysts
• Strong stakeholder management and communication skills

What They Offer

• Salary of £50,000 to £70,000
• Annual equity award equivalent to 10% of salary
• Hybrid working model with regular collaboration in the office
• Generous annual leave allowance plus bank holidays
• Competitive pension scheme
• Private medical insurance and wellbeing support services
• Enhanced family friendly benefits
• Additional savings and share scheme options
• Clear opportunities to influence strategy and progress your analytics career within a mature data environment

How to Apply
If you are an experienced Senior Data Analyst looking to make an impact in a product led, data driven organisation, please apply with your CV to discuss the opportunity further.

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CRO Developer

£50,000 – £60,000

Hybrid – Manchester (3x days per week)

This is a rare opportunity to join a growing digital business where experimentation sits at the heart of decision making. With strong investment in CRO and testing, you will play a key role in creating, deploying, and analysing experiments across high traffic digital platforms. This position offers the chance to make a direct commercial impact while working with modern experimentation tools and technologies.

The Company

They are an established digital performance business operating across multiple international markets. Through a portfolio of proprietary digital platforms, they manage and optimise the full customer journey from acquisition through to conversion. Their data-driven approach to growth has created a strong culture of experimentation, with significant opportunities to improve customer experiences through testing. Continued expansion has led to investment in building internal CRO and experimentation capability.

The Role

As a CRO Developer, you will be responsible for building, implementing, and maintaining A/B tests and experiments across a range of digital products. You will work closely with analysts, marketers, designers, and stakeholders to translate hypotheses into live experiments that drive measurable business results.

• Build and deploy A/B and multivariate tests using HTML, CSS, and JavaScript
• Develop high-quality experiment code across websites and digital platforms
• Work with CRO and product stakeholders to turn testing ideas into live experiments
• Implement personalisation and experimentation campaigns using leading CRO tools
• Ensure experiments are technically robust, performant, and accurately tracked
• Debug, troubleshoot, and optimise testing implementations
• Collaborate with analytics teams to support experiment measurement and reporting
• Contribute to experimentation best practices, processes, and governance
• Identify technical opportunities to improve customer journeys and conversion performance

Your Skills & Experience

• Strong commercial experience as a CRO Developer, Front End Developer, or Experimentation Developer
• Hands-on experience building and deploying experiments using HTML, CSS, and JavaScript
• Experience with CRO and experimentation platforms such as Optimizely, VWO, AB Tasty, Convert, Dynamic Yield, or similar
• Strong understanding of A/B testing methodologies and experimentation principles
• Experience working with web analytics and performance measurement tools
• Ability to write clean, efficient, and maintainable front-end code
• Understanding of customer journeys, user behaviour, and conversion optimisation
• Comfortable working closely with technical and non-technical stakeholders
• Experience within performance marketing, ecommerce, lead generation, or high traffic digital environments is beneficial

What They Offer

• £50,000 – £60,000 base salary
• Bonus scheme
• Hybrid working model with flexibility
• Opportunity to help shape a growing experimentation function
• Exposure to high traffic digital products and large-scale testing programmes
• Strong career progression opportunities
• Collaborative and data-driven environment

How to Apply

If you are a CRO Developer with experience building and deploying experiments using HTML, CSS, and JavaScript, apply now to learn more about this opportunity.

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Customer Insights Analyst

£50,000 – £60,000

Hybrid – Lancashire (3x days per week)

This is an opportunity to step into a high impact customer insight role where your analysis directly shapes marketing strategy, customer experience, and commercial performance. You will work with rich customer and patient data to influence how a large, service led organisation engages, retains, and grows its customer base.

The Company

They are a well established, customer focused organisation operating at scale within a regulated, service led environment. Data and insight sit at the heart of their decision making, with strong collaboration across marketing, operations, and product teams. The business values thoughtful analysis, ethical data use, and turning insight into meaningful action.

The Role

You will focus on unlocking actionable insight across the full customer lifecycle, supporting CRM performance, retention, and personalisation. Key responsibilities include:

• Analysing CRM, POS, digital, and survey data to identify behavioural trends and growth opportunities
• Supporting campaign targeting and optimisation through segmentation, cohort analysis, and predictive insight
• Developing dashboards that connect customer behaviour to commercial KPIs such as conversion, retention, and lifetime value
• Leading analysis of satisfaction and advocacy data using sentiment and key driver approaches
• Delivering clear, executive ready insights to non technical stakeholders
• Partnering with marketing, operations, and product teams to improve lifecycle communications and service delivery
• Ensuring GDPR and data governance standards are met in all analysis and reporting

Your Skills and Experience

• Strong commercial experience in customer insight, CRM analytics, or lifecycle analysis
• Confident using SQL and Python for data analysis
• Experience with BI and visualisation tools such as Power BI or Tableau
• Solid understanding of segmentation, retention, and campaign performance metrics
• Comfortable working with multi channel CRM data including email, SMS, and direct marketing
• Ability to translate complex data into clear, actionable recommendations

What They Offer

• Competitive salary and benefits package
• Hybrid working model
• Exposure to large scale, high value customer data
• Clear opportunity to influence strategy and see the impact of your work
• Supportive, collaborative culture with strong values around integrity and improvement

How to Apply

If you are excited by turning customer data into meaningful commercial insight, apply now to find out more.

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Digital Analyst
£40,000 – £45,000
Hybrid – Merseyside (3x days per week)

Are you passionate about turning digital data into meaningful commercial insight? This is an opportunity to join a well-established retail organisation undergoing continued investment in ecommerce, analytics, and data-driven decision making. You’ll play a key role in helping teams understand online performance, customer behaviour, and growth opportunities through advanced analytics.

The Company
They are a customer-focused retail business with a significant online presence and a strong commitment to innovation. Data plays a central role in shaping commercial decisions, and the organisation continues to invest in analytics capabilities across the business. You’ll join a collaborative environment where insights are valued, and where analytical expertise has a direct impact on performance and strategy.

The Role
As an Ecommerce Data Analyst, you will be responsible for delivering actionable insights that improve online performance and support business growth.
Key responsibilities include:

• Translate business challenges into analytical projects and data-driven recommendations
• Analyse web, customer, and commercial data to identify opportunities and trends
• Build strong relationships with stakeholders across ecommerce and wider business teams
• Develop dashboards, reports, and self-service analytics solutions using BI tools

Your Skills & Experience

• Strong commercial experience working with BigQuery and SQL
• Experience analysing ecommerce or digital performance data
• Strong knowledge of Google Analytics 4 (GA4)
• Experience with data visualisation tools such as Power BI or Looker
• Understanding of analytical methodologies and data-driven problem solving
• Awareness of ETL processes and data automation concepts
• Strong communication skills with the ability to present complex findings clearly to non-technical audiences

What They Offer

• Competitive salary and benefits package
• Hybrid working environment
• Access to career development and progression opportunities
• Collaborative and supportive analytics team
• Opportunity to shape reporting, insights, and data capability across a growing ecommerce function
• Pension and additional employee benefits

How to Apply
If you’re an Ecommerce Data Analyst with strong SQL, BigQuery, GA4, and BI experience, apply today to learn more about this exciting opportunity.

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Senior Data Scientist

Hybrid – Leicester (1x day a week)

£75,000 – £85,000 + bonus

Looking to apply advanced machine learning in a highly commercial environment? This is an opportunity to join a data-driven organisation where analytics sits at the heart of strategic decision-making. You’ll work on innovative pricing and risk modelling challenges, helping shape how data and machine learning drive business performance.

The Company

They are a well-established consumer-focused organisation with a strong investment in data, analytics, and technology. Their data science function plays a critical role in driving commercial outcomes through advanced modelling and predictive analytics. With a collaborative culture and modern cloud-based technology stack, they offer an environment where innovation and experimentation are encouraged. You will work alongside talented data scientists, analysts, and engineers to deliver impactful solutions at scale.

The Role

As a Senior Data Scientist, you will develop advanced machine learning solutions that support pricing, risk assessment, and business performance.

Responsibilities include:

• Building and deploying predictive machine learning models across a range of commercial use cases
• Developing analytical tools to improve risk portfolio management and decision-making
• Creating innovative features and data assets to enhance model performance
• Identifying and evaluating new data sources that can drive commercial value
• Taking models through the full lifecycle from exploration and development to deployment, monitoring, and optimisation
• Partnering with stakeholders to define business problems and deliver effective solutions
• Working closely with Data Engineers, Data Scientists, Analysts, and other technical specialists
• Contributing to the adoption of emerging machine learning techniques and best practices

Your Skills & Experience

• Strong commercial experience delivering machine learning projects from discovery through to deployment and ongoing model management
• Expertise in Python and SQL
• Experience working with Azure Machine Learning and wider Azure cloud technologies
• Knowledge of version control tools such as Git
• Ability to translate complex business challenges into analytical solutions
• Strong stakeholder management and communication skills
• Experience working in cross-functional data and analytics environments
• Passion for innovation and applying new machine learning approaches to real-world challenges

What They Offer

• Competitive salary
• Annual bonus scheme
• Car allowance
• Private medical insurance
• Matched pension contributions
• Life assurance and income protection
• Hybrid and flexible working arrangements
• Generous annual leave allowance
• Health, wellbeing, and financial support benefits
• Ongoing learning, development, and career progression opportunities within a growing data science function

How to Apply

If you’re interested in this Senior Data Scientist opportunity, apply today to discuss how your experience aligns with the role.

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SENIOR DATA ANALYST
LONDON/HYBRID
UP TO £72,000

This is an excellent opportunity to join a growing Data Analytics function at a pivotal stage in its development. You’ll take ownership of high-impact analytics projects, work closely with senior leadership, and play a key role in shaping how data supports strategic decision-making across the business.

ROLES AND RESPONSIBILITIES:
The Senior Data Analyst will:

• Design, develop, and maintain Power BI dashboards and reporting solutions.
• Write advanced SQL queries within an Azure data environment.
• Deliver end-to-end analytics projects from stakeholder discovery through to insight delivery.
• Translate complex data into clear, actionable commercial recommendations.
• Partner with senior stakeholders to understand business challenges and identify opportunities.
• Support a major Single Customer View programme and other strategic analytics initiatives.
• Collaborate closely with Data Engineering to ensure robust and scalable analytics solutions.
• Present findings and recommendations to senior leadership and executive stakeholders.
• Contribute to the growth and visibility of the Analytics function across the business.

YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:

• Strong commercial experience in Data Analytics within a business-facing environment.
• Advanced SQL skills, including CTEs and Window Functions.
• Experience developing dashboards and reports in Power BI.
• Strong understanding of Microsoft and Azure data technologies.
• Proven ability to engage, influence, and build relationships with senior stakeholders.
• Experience delivering complex analytics projects from conception through to implementation.
• Excellent communication and presentation skills.
• Strong analytical thinking and problem-solving capability.
• Ability to work independently while collaborating effectively across multiple teams.

APPLY BELOW!

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