Data Scientist
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. (required)
- Good knowledge of machine learning techniques and algorithms. (required)
- A demonstrated track record of successfully delivering data science projects. (required)
- Strong verbal and written communication, ability to explain technical concepts to non technical audiences. (required)
- £/€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
Flutter Entertainment is the world leader in online sports betting and iGaming, operating some of the most innovative, diverse and distinctive brands in the sector. The UK & Ireland region of Flutter unites some of the biggest brands in the betting and gaming industry; Betfair, Paddy Power, PokerStars, Sky Betting & Gaming and tombola - bringing together hundreds of teams and thousands of colleagues who create trusted entertainment for millions of customers every week.