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Senior Risk Data Scientist
Remote (London) | £80,000 – £85,000 + Benefits

This is an opportunity to join an innovative data-driven business that is transforming how risk is assessed and managed within the payments ecosystem. Working at the intersection of Data Science, Machine Learning, and FinTech, you will have the chance to solve complex commercial challenges, influence product development, and help shape cutting-edge risk solutions from the ground up.

The Company
They are a fast-growing technology business focused on helping organisations better understand and manage risk through advanced analytics and machine learning. Their proprietary solutions combine large-scale transactional data with external data sources to deliver actionable insights and predictive risk intelligence. Operating across international markets, they offer a collaborative environment where data science plays a central role in business success.

The Role
As a Senior Data Scientist, you will be responsible for developing and enhancing predictive risk capabilities while working closely with commercial stakeholders and external partners.
Key responsibilities include:

• Using advanced analytics and investigative techniques to identify, monitor, and understand emerging risk trends across customer portfolios.
• Building, deploying, and monitoring predictive models and risk rules to improve decision-making and risk assessment.
• Applying machine learning and statistical techniques to complex real-world data challenges.
• Collaborating with external stakeholders to understand requirements and influence product development.
• Contributing to the development of innovative risk management methodologies and intellectual property.

Your Skills & Experience

• Strong commercial experience using Python for data analysis and modelling.
• Advanced SQL skills for extracting, transforming, and analysing large datasets.
• Experience working within credit risk, fraud analytics, payments risk, or a related quantitative environment.
• Practical experience building supervised machine learning models such as logistic regression and gradient boosting models.
• Ability to work autonomously, solve problems proactively, and thrive in a fast-moving environment.
• Exposure to clustering, anomaly detection, LLM applications, or agentic AI approaches would be advantageous.
• Strong commercial understanding of risk-based products, financial services, or payments environments is beneficial.

How to Apply
If you are an experienced Data Scientist with strong Python, SQL, and machine learning expertise and are excited by the opportunity to solve complex risk challenges within a high-growth environment, apply today.

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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.

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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.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Scientist

London (Hybrid) | £60,000 – £65,000

This is an excellent opportunity for a Data Scientist to join a growing product and analytics team, helping to develop innovative data-driven products powered by advanced analytics and AI. You’ll have the chance to combine technical expertise with commercial impact, working closely with both internal stakeholders and clients to deliver meaningful insights and solutions.

The Company

They are a data-focused organisation that develops advanced analytics and customer intelligence solutions for a broad range of businesses. Through the use of modern data technologies, machine learning, and market insight, they help clients make better decisions and unlock greater value from their data. Innovation and product development sit at the heart of their strategy, creating a collaborative and forward-thinking environment.

The Role

You will work across product, analytics, and client teams to develop and enhance data-led products and services.

Responsibilities include:

• Identifying opportunities for new analytics and AI-driven products
• Translating business and client requirements into technical solutions
• Building and testing analytical models and proof-of-concepts
• Developing data products, scoring methodologies, and insight-driven solutions
• Presenting findings and recommendations to both internal stakeholders and clients
• Monitoring product performance and driving continuous improvement

Your Skills & Experience

• Strong commercial experience in Data Science, Analytics, or a related field
• Proficiency in Python and SQL
• Experience working with large-scale customer, transactional, behavioural, or marketing datasets
• Understanding of machine learning techniques and analytical product development
• Knowledge of data modelling and feature engineering principles
• Ability to communicate complex analytical concepts to non-technical audiences
• Experience working directly with clients or customer-facing stakeholders
• Strong problem-solving and stakeholder management skills

How to Apply

If you’re looking for a Data Scientist role where you can influence product development, engage with clients, and work on innovative analytics solutions, please apply today.

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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.

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