Data Scientist, Leeds

The UKI Data Science team is a cross‑business chapter in the Customer Super Tribe, working with partners such as Safety, Marketing, Gaming, Sports and more to deliver groundbreaking analytics and AI modelling solutions.

• Carry out analytical projects involving data collection, pre‑processing, feature engineering, model development, validation and deployment.
• Engage with business stakeholders to understand domain‑specific challenges and opportunities and collaborate to align with requirements.
• Apply advanced statistical and machine learning algorithms to analyse large datasets, uncover patterns and derive actionable insights.
• Develop and implement predictive and prescriptive models using techniques such as regression, classification, clustering, time‑series analysis, natural language processing and deep learning.
• Create clear and compelling visualisations to communicate complex findings.
• Collaborate with business, product and engineering teams to understand requirements, identify opportunities and provide data‑driven recommendations.
• Integrate data science solutions into products and services with cross‑functional teams.
• Engage actively in knowledge sharing, technical and non‑technical discussions.
• Continuously improve accuracy, efficiency and scalability of existing models and algorithms, and identify areas for optimisation and innovation.
• Maintain high standards of documentation, code quality and best practices in data science and software development.
• Participate in code reviews, pair programming and knowledge‑sharing sessions, embracing feedback for continuous improvement.
• Contribute to building a strong data science team through knowledge sharing and upskilling.
• Keep abreast of the latest advancements in data science, machine learning and related fields.

• Proficiency in Python and SQL.
• Good knowledge of machine learning techniques and algorithms.
• Demonstrated track record of successfully delivering data science projects.
• Strong verbal and written communication, ability to explain technical concepts to non‑technical audiences.

• £/€1,000 learning fund
• Twice‑yearly bonus (part guaranteed)
• Unlimited holidays
• Pension contribution scheme
• Private healthcare
• Hybrid working with access to Udemy courses
• Company Sharesave scheme

We’re working to be an inclusive employer and encourage people from all backgrounds to apply. Everyone brings different perspectives and experiences; you don't have to meet all the listed requirements to apply. If adjustments are needed, we’ll consider accommodations.