Data Scientist

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

• 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

• 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