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Leeds, UK, United Kingdom
Onsite
The UKI Data Science team is a cross business chapter sitting in the Customer Super Tribe, working with other areas such as; Safety, Marketing, Gaming, Sports, and more. We work with a range of partners to deliver groundbreaking analytics and AI modelling solutions to help solve business problems.
Work with the team to 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 during development to ensure alignment with requirements.
Apply advanced statistical and machine learning algorithms to analyse large datasets, uncover patterns, and derive actionable insights to support business objectives.
Develop and implement predictive and prescriptive models using machine learning algorithms and techniques, such as regression, classification, clustering, time series analysis, natural language processing, and deep learning.
Create clear and compelling visualisations to communicate complex analytical findings effectively.
Collaborate with collaborators (including business, product, and engineering) to understand requirements, find opportunities, and provide data-driven recommendations.
Collaborate with cross-functional teams to integrate data science solutions into products and services.
Engage actively in knowledge sharing, technical, and non-technical discussions within the team.
Continuously improve the accuracy, efficiency, and scalability of existing models and algorithms, and identify areas for optimisation and innovation.
Maintain high standards of documentation, code quality, and application of best practices in data science and software development.
Actively 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, and proactively find opportunities to demonstrate the use of new technologies.
Proficiency in Python and SQL.
Good knowledge of machine learning techniques and algorithms.
A 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 (with part of it guaranteed!)
Unlimited Holiday
Pension contribution scheme
Private healthcare
Hybrid Working -
Access to thousands of Udemy courses
Invest via the Company Sharesave Scheme
Our division operates four of the most popular and trusted brands in the market: Sky Betting and Gaming, Tombola, Betfair and Paddy Power.
Together the Flutter UK&I brands offer market leading entertainment to millions of customers every single week! Over the last couple of decades, they have all ridden the wave of digital betting with industry firsts like ‘cash-out’, ‘Request a Bet’, betting exchanges and free to play games like Soccer Saturday Super 6.
Do you want to work somewhere extraordinary? From the people you spend your days with, to the ground-breaking projects, no two days will be the same.
With a philosophy of ‘Together We Are More’ our 7,000+ colleagues come together to form an expert community across technology, product, commercial, data, infrastructure, marketing, and a myriad of subject areas.
We listen without judgement, encourage & support, and help build others up. Working at Flutter UK&I means you can be yourself, work how and where suits you best -and let your personality shine!
We’re working to be an inclusive employer, and we encourage people from all backgrounds, ways of thinking and working to apply. Everyone brings different perspectives and experiences; you don't have to meet all the requirements listed to apply for this role.
If you need any adjustments to make this role work for you let us know, and we’ll see how we can accommodate them.