Remote Data Scientist - Fuel Pricing (UK)

Salary: £21,000 - 49,000 per year

Requirements

• We need a Ph.D. or masters degree in a quantitative discipline.
• We need a demonstrated track record of designing, developing, and deploying data science and machine learning solutions in commercial environments.
• We need expertise in statistical or econometric modeling and optimization techniques.
• We need proven ability to independently manage complex projects under tight deadlines while maintaining high standards of quality and reliability.
• We need strong written and verbal communication skills for both technical and non-technical audiences.
• We need cross-functional team collaboration experience with product, engineering, and business stakeholders.
• We consider experience in pricing data science desirable, particularly within the fuel or retail sectors.
• We need advanced proficiency in Python and/or R for data science development.
• We need proficiency in SQL for data extraction, transformation, and analysis.
• We need experience with version control (Git) and modern software engineering practices including code review and collaborative development.
• We consider familiarity with generative AI tools such as GitHub Copilot desirable to support development and enhance productivity.
• We consider knowledge of solution deployment with cloud platforms, preferably Azure, including containerization (Docker) and CI/CD pipelines desirable.

Responsibilities

• We design, develop, and deploy advanced data science solutions across our product portfolio, with a particular focus on our pricing product suite.
• We apply statistical and econometric modeling, time series analysis, optimization methods, and generative AI to improve demand modeling, elasticity estimation, price recommendation, competition analytics, and related challenges.
• We develop reusable tools, frameworks, and components to accelerate value delivery from data science.
• We deploy scalable and maintainable solutions to cloud environments, using version control practices and strong code quality and documentation standards.
• We work independently and as part of our Data Science Research team, contributing to research prioritisation and technical direction with the Director and Product leadership.
• We deliver high-quality, innovative solutions and champion best practices so our research outputs are reproducible, scalable, and maintainable.
• We help evaluate and adopt appropriate tools, programming languages, and technologies.
• We mentor junior team members and support their professional development.
• We identify and contribute to patent opportunities and our intellectual property portfolio.
• We collaborate across Development, Product, Analytics, and Commercial teams to ensure solutions address business challenges and stakeholder objectives.
• We partner with operational teams to ensure data pipelines and infrastructure are robust, secure, and optimized for research and production workloads.
• We communicate technical concepts and outcomes effectively to both technical and non-technical audiences.
• We stay current with developments in data science, machine learning, and AI, applying state-of-the-art techniques to our project work.
• We build comprehensive knowledge of the retail fuel industry to understand domain challenges and help guide product innovation.
• We share knowledge and promote best practices across our team and company.

Technologies

• AI
• Azure
• CI/CD
• Cloud
• Copilot
• Docker
• Git
• GitHub
• Support
• Machine Learning
• Python
• SQL
• CSS

More

We exist to deliver the right insight, at the right time, so organizations can answer their most challenging questions. We partner in growth and serve decision makers across location and fuel pricing in markets around the world, from high-growth emerging concepts to the most established international operators. Our platforms and analytics solutions directly support decision-making and deliver clear financial value, helping grow economies, create jobs, and improve the communities where we live, work, and play. This is a remote role within the UK, with travel to our Manchester city centre office and client or partner locations sometimes required. Our Data Science Research team works across multiple time zones globally, so working hours may occasionally need to flex to support collaboration with international colleagues.

last updated 28 week of 2026