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Quantitative Analyst

A rare opportunity to join a research-led quantitative risk team within a leading investment environment. This role offers exposure to complex modelling challenges, significant stakeholder engagement, and the opportunity to influence model governance across the business.

The Company
They are a well-established investment organisation with a strong quantitative culture. Their independent risk function plays a key role in model validation, quantitative research, and risk oversight across a broad range of investment activities.

The Role

• Validate and challenge quantitative models across the business
• Conduct research into model performance, assumptions, and limitations
• Produce model validation reports and recommendations
• Present findings to senior stakeholders and governance committees
• Support the enhancement of risk models and analytical tools
• Develop automation and tooling to improve risk processes

Your Skills & Experience

• Strong Python programming skills
• Commercial experience in quantitative modelling, quant research, model validation, or risk
• Excellent mathematical and analytical capability
• Experience assessing, building, or challenging models
• Confident communicator with strong stakeholder management skills
• STEM degree in a quantitative discipline

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Data Scientist

£45,000 – £55,000

Merseyside (3 days a week in office)

This is an excellent opportunity to join a growing Data Science function at a business investing heavily in its data and AI capabilities. You’ll work on high-impact customer and commercial projects, helping to shape how machine learning is adopted across the organisation while gaining exposure to cutting-edge tools and a rapidly evolving data environment.

THE COMPANY

This organisation is investing heavily in its Data and AI capabilities, with a focus on building a scalable Data Science function that delivers real business impact. As Data Science becomes increasingly central to decision-making, you’ll have the opportunity to work on high-profile customer and commercial projects with strong backing from senior leadership. They foster a collaborative, pragmatic culture where Data Scientists are encouraged to move beyond experimentation and deliver solutions that create measurable value. The focus is on deploying models into production and embedding data-driven thinking across the business.

THE ROLE

As a Data Scientist, you will work closely with senior stakeholders, analysts, engineers, and fellow Data Scientists to deliver machine learning solutions across a range of customer and commercial use cases.

Specifically, you can expect to be involved in the following:

• Building and deploying predictive machine learning models
• Developing customer segmentation and customer lifetime value models
• Creating forecasting solutions to support business planning
• Delivering propensity and churn models to improve customer engagement
• Translating complex analytical findings into clear business recommendations
• Collaborating with engineering teams to support model deployment and operationalisation
• Supporting the development of a modern Data Science platform
• Working with cloud-based machine learning tools and technologies
• Engaging directly with stakeholders to understand challenges and define analytical solutions

SKILLS AND EXPERIENCE

The successful Data Scientist will have the following skills and experience:

• Strong commercial experience in Data Science and machine learning
• Advanced Python and SQL skills
• Experience using statistical modelling and predictive analytics techniques
• Knowledge of machine learning algorithms such as XGBoost and related ensemble methods
• Experience delivering projects across the full Data Science lifecycle, from problem definition through to deployment
• Ability to communicate technical concepts clearly to non-technical audiences
• Experience working with customer analytics, segmentation, churn, propensity modelling, forecasting, or related use cases
• Exposure to cloud environments such as Azure or GCP is beneficial
• Experience with Azure ML, Vertex AI, or similar machine learning platforms is advantageous

BENEFITS

The successful Data Scientist will receive the following benefits:

• Salary between £45,000 – £55,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Scientist

£45,000 – £55,000

Merseyside (3 days a week in office)

This is an excellent opportunity to join a growing Data Science function at a business investing heavily in its data and AI capabilities. You’ll work on high-impact customer and commercial projects, helping to shape how machine learning is adopted across the organisation while gaining exposure to cutting-edge tools and a rapidly evolving data environment.

THE COMPANY

This organisation is investing heavily in its Data and AI capabilities, with a focus on building a scalable Data Science function that delivers real business impact. As Data Science becomes increasingly central to decision-making, you’ll have the opportunity to work on high-profile customer and commercial projects with strong backing from senior leadership. They foster a collaborative, pragmatic culture where Data Scientists are encouraged to move beyond experimentation and deliver solutions that create measurable value. The focus is on deploying models into production and embedding data-driven thinking across the business.

THE ROLE

As a Data Scientist, you will work closely with senior stakeholders, analysts, engineers, and fellow Data Scientists to deliver machine learning solutions across a range of customer and commercial use cases.

Specifically, you can expect to be involved in the following:

• Building and deploying predictive machine learning models
• Developing customer segmentation and customer lifetime value models
• Creating forecasting solutions to support business planning
• Delivering propensity and churn models to improve customer engagement
• Translating complex analytical findings into clear business recommendations
• Collaborating with engineering teams to support model deployment and operationalisation
• Supporting the development of a modern Data Science platform
• Working with cloud-based machine learning tools and technologies
• Engaging directly with stakeholders to understand challenges and define analytical solutions

SKILLS AND EXPERIENCE

The successful Data Scientist will have the following skills and experience:

• Strong commercial experience in Data Science and machine learning
• Advanced Python and SQL skills
• Experience using statistical modelling and predictive analytics techniques
• Knowledge of machine learning algorithms such as XGBoost and related ensemble methods
• Experience delivering projects across the full Data Science lifecycle, from problem definition through to deployment
• Ability to communicate technical concepts clearly to non-technical audiences
• Experience working with customer analytics, segmentation, churn, propensity modelling, forecasting, or related use cases
• Exposure to cloud environments such as Azure or GCP is beneficial
• Experience with Azure ML, Vertex AI, or similar machine learning platforms is advantageous

BENEFITS

The successful Data Scientist will receive the following benefits:

• Salary between £45,000 – £55,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

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

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To Apply for this Job Click Here

VP Data & AI Transformation
London | £160,000 – £180,000

This is a rare opportunity for an experienced data leader to shape the future of a business that is investing heavily in data, AI, and technology. As a newly created executive-level position, you’ll play a pivotal role in building a unified enterprise data function, driving AI adoption, and ensuring data becomes a core driver of growth, customer understanding, and business performance.

The Company
This established technology business operates at the intersection of data, analytics, and digital innovation, helping organisations make smarter commercial decisions through data-driven insights.

They are looking for a senior leader to bring together multiple teams under a unified strategy, driving greater value from data across the organisation and accelerating AI adoption at scale.

The Role
As VP, you will sit at the heart of the organisation’s data and AI journey, partnering closely with executive stakeholders to drive business impact.

Responsibilities include:

• Define and deliver the enterprise data, architecture, and AI strategy
• Create a 360-degree customer view to drive commercial and operational decision-making
• Lead Data Engineering, Analytics, Architecture, IT, and AI functions under a unified vision
• Drive AI adoption, automation, and enterprise-wide data capabilities
• Establish best practices across data governance, reporting, and systems architecture
• Partner with senior leadership to deliver initiatives across growth, product, pricing, and efficiency
• Build and lead high-performing teams while driving organisational change

Your Skills & Experience

• Leadership experience within Data, Analytics, Architecture, or Technology functions
• Proven success leading multiple technical teams and disciplines
• Strong track record delivering enterprise data strategies and transformation programmes
• Experience leveraging AI and data to drive measurable business outcomes
• Strong stakeholder management skills with executive-level influence
• Expertise in modern data platforms, governance, and analytics ecosystems
• Commercial mindset with the ability to translate technical strategy into business value
• Demonstrated success building trust, scaling teams, and leading through change

How to Apply
If you’re an experienced data leader looking to build a market-leading enterprise data capability and drive meaningful business transformation through data and AI, please apply today.

To Apply for this Job Click Here

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We are seeking a Data Scientist to lead the measurement, experimentation, and causal modeling work at the core of a next-generation decision intelligence platform. This is a unique opportunity to join an early-stage, venture-backed company and play a foundational role in shaping both the product and the future of the organization.

You’ll work directly with founders, fellow data scientists, and customers to develop advanced causal inference models that help organizations make better business decisions from complex data. This role is ideal for someone who enjoys moving quickly, thrives in ambiguous environments, and wants significant ownership over a core product capability.

Responsibilities

• Own the design, development, testing, and deployment of causal inference and experimentation models
• Take research concepts and prototypes through production implementation
• Build and improve models that power customer recommendations and decision-making
• Validate model performance using real-world customer data
• Design and analyze experiments to measure business impact
• Partner directly with customers to understand use cases and communicate findings
• Collaborate closely with founders, product leaders, and engineering teams
• Help shape the long-term product and data science strategy

Required Qualifications

• PhD strongly preferred; Master’s degree considered in Economics, Statistics, Computer Science, Applied Mathematics, or a related quantitative field
• 1+ years of hands-on experience applying causal inference methods in production environments
• Experience with:
• Difference-in-Differences (DiD)
• Synthetic Control Methods
• Double Machine Learning (DML)
• Strong A/B testing and experimentation experience
• Advanced Python skills for statistical modeling and machine learning
• Demonstrated ability to take models from development through production deployment
• Exceptional communication skills with both technical and non-technical audiences
• Desire to work in a fast-paced, early-stage startup environment

Preferred Qualifications

• Experience in product analytics, marketplace analytics, measurement science, econometrics, or experimentation-focused data science
• Prior startup experience or experience building products, functions, or capabilities from scratch
• Experience building data pipelines and ingestion frameworks
• Experience working directly with customers or external stakeholders
• Interest in product strategy and long-term product leadership opportunities

What Success Looks Like

• Own a core modeling workstream that becomes a fundamental part of the product
• Deliver robust causal inference solutions that drive customer outcomes
• Help customers confidently measure the impact of their business decisions
• Influence product direction through deep analytical expertise
• Contribute to building a category-defining technology company from an early stage

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Director of Data & Technology
London (Hybrid) | Competitive Salary + Benefits

This is a unique opportunity to take ownership of data, technology, AI and enterprise systems within a growing, data-led business. With strong foundations already in place, the focus is on driving adoption, creating alignment and delivering measurable business impact.

The Company
A well-established technology business that places data at the centre of decision-making. They have invested heavily in their data platform, AI capabilities and enterprise systems and are now looking for a senior leader to unify these functions under a single vision.

The Role

• Lead data, analytics, engineering, architecture, enterprise systems and IT.
• Define and deliver the organisation’s data, technology and AI strategy.
• Drive AI enablement, governance and adoption across the business.
• Create greater visibility of customer behaviour and business performance.
• Partner with executive stakeholders to align technology with commercial goals.
• Lead and develop a multidisciplinary team while fostering collaboration and accountability.

Your Skills & Experience

• Leadership experience across data, technology, analytics or architecture functions.
• Strong technical understanding of data platforms, enterprise systems and governance.
• Proven ability to lead transformation and influence senior stakeholders.
• Hands-on approach with the ability to balance strategy and delivery.
• Experience driving business value through data and technology.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist – Pricing

London / Leicester | £60,000 – £75,000

This is an exciting opportunity for a Senior Data Scientist to join a highly advanced analytics function focused on pricing innovation. You’ll work on developing cutting-edge machine learning models, leveraging new technologies and data sources to influence commercial strategy and deliver tangible business impact.

The Company

They are a data-driven organisation that has invested heavily in its analytics and pricing capabilities. Their Data Science team sits at the heart of strategic decision-making, helping to improve risk assessment, customer outcomes, and commercial performance. Working within a collaborative environment, you’ll partner with experts across analytics, engineering, and business functions to drive innovation and challenge conventional approaches.

The Role

You will:

• Develop and deploy machine learning models that support pricing and risk management strategies.
• Build predictive models focused on claims outcomes, fraud detection, and key business performance metrics.
• Create and maintain analytical tools used to manage and optimise risk portfolios.
• Identify, assess, and utilise new data sources to improve model performance and business outcomes.
• Engineer new predictive features that can be incorporated into pricing algorithms.
• Take ownership of projects across the full machine learning lifecycle, from exploratory analysis through to deployment and monitoring.
• Collaborate with Data Scientists, Data Engineers, Analysts, and business stakeholders to deliver commercial value.
• Explore emerging machine learning techniques and assess their practical application within the business.

Your Skills & Experience

• Strong commercial experience delivering end-to-end machine learning projects.
• Excellent Python and SQL skills.
• Experience with Azure Machine Learning, Azure Cloud Services, and Git.
• Strong understanding of model deployment, monitoring, evaluation, and optimisation.
• Ability to translate complex business problems into scalable analytical solutions.
• Experience engaging with a range of stakeholders to define requirements and drive successful outcomes.
• Strong communication skills and a collaborative approach to problem-solving.
• Passion for applying advanced analytics and machine learning to real-world business challenges.

How to Apply

To find out more about this opportunity, please apply with your CV and we’ll be in touch to discuss the role in more detail.

To Apply for this Job Click Here

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Data Scientist

Liverpool (Hybrid) | Up to £55,000

Looking to apply advanced analytics and machine learning in a role where your work directly influences business decisions? This is an opportunity to join a well-established consumer-focused organisation investing heavily in its data capabilities. You’ll work on a broad range of projects, turning complex datasets into actionable insights and delivering measurable commercial impact.

The Company

They are a recognised organisation with a large customer base and a growing commitment to data-driven decision making. Their analytics and technology teams play a key role in shaping strategy, improving customer outcomes, and driving operational performance. With continued investment in AI, machine learning, and cloud technologies, they offer an environment where innovation and collaboration are actively encouraged.

The Role

You will be responsible for:

• Collecting, cleaning, and preparing data from multiple sources to ensure quality and accuracy.
• Applying statistical analysis and machine learning techniques to solve business challenges.
• Building, deploying, and maintaining predictive models that deliver tangible value.
• Developing and enhancing AI and machine learning solutions using modern cloud-based tools.
• Creating dashboards and visualisations that communicate insights clearly to stakeholders.
• Working closely with analysts, engineers, and business teams to deliver data science projects.
• Identifying trends, opportunities, and risks through advanced analytics.
• Keeping up to date with the latest developments in data science, AI, and machine learning.

Your Skills & Experience

• Strong commercial experience delivering data science solutions.
• Excellent Python or R programming skills.
• Strong SQL capabilities for data extraction and analysis.
• Experience with forecasting, statistical modelling, and machine learning techniques.
• Knowledge of the full data science lifecycle from model development through to deployment and monitoring.
• Experience working with cloud platforms such as Azure, AWS, or GCP.
• Ability to communicate technical findings to both technical and non-technical stakeholders.
• Passion for using data to solve real-world business problems.

How to Apply

To find out more about this opportunity, please apply with your CV and we’ll be in touch to discuss the role in more detail.

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