Description
ABOUT FLUTTER ENTERTAINMENT
Flutter Entertainment is the world's largest sports betting and iGaming operator with 15.9 million average monthly players worldwide and an annual revenue of $16.4Bn in 2025.
We have a portfolio of iconic brands, including Paddy Power, Betfair, FanDuel, PokerStars, Junglee Games and Sportsbet. Listed on both the NYSE and LSE, and recognised in TIME's 100 Most Influential Companies 2024, we are Changing the Game.
ABOUT FLUTTER FUNCTIONS
The Flutter Functions division provides essential support and services across Flutter Entertainment, spanning finance, legal, human resources, technology, and more — ensuring seamless operations and strategic alignment across the company.
ROLE OVERVIEW
The Strategic Intelligence team transforms complex data into actionable insights that guide technology strategy across Flutter's global portfolio. We combine AI-powered analytics, competitive intelligence, and innovation partnerships to help technology leadership anticipate challenges and capitalise on opportunities.
As a Senior Data Scientist, you will sit at the intersection of traditional data science and modern AI/LLM engineering — building predictive systems, fine-tuning models, and architecting strategic intelligence platforms that power critical decisions across Flutter's technology portfolio. You'll work directly with CTOs, VPs of Engineering, and strategy teams, translating sophisticated analysis into clear, high-impact recommendations.
KEY ACCOUNTABILITIES AND RESPONSIBILITIES
Advanced Predictive Modelling & Analytics
- Design and deploy forecasting models for workforce trends and technology adoption patterns using advanced statistical techniques and ML algorithms
- Build predictive systems that identify skills gaps, technology investment opportunities, and competitive threats by analysing complex, multi-source datasets.
- Develop simulation models that enable technology leadership to evaluate investment scenarios and forecast outcomes of key strategic decisions.
AI/LLM Engineering & Implementation
- Design and implement RAG architectures — leveraging vector databases, embedding optimisation, and retrieval tuning — to extract strategic intelligence from organisational knowledge bases.
- Fine-tune and customise AI models for strategic intelligence use cases, including synthetic data generation, model alignment, and performance optimisation.
- Build automated AI workflows using orchestration tools to extract insights, summarise content, and eliminate repetitive intelligence tasks
Strategic Intelligence Systems Development
- Architect end-to-end data science solutions that integrate traditional analytics with modern AI capabilities to deliver strategic intelligence to technology leadership.
- Build and maintain MLOps pipelines for model monitoring, versioning, and deployment — ensuring reliable, scalable AI systems fit for enterprise-grade strategic decision support.
- Design evaluation frameworks for AI-generated insights — combine automated assessment and human-in-the-loop validation
EXPERIENCE REQUIRED
- PhD or Master's in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field, with 4–6 years of relevant industry experience.
- Production AI/ML experience including deployment of machine learning models in business environments with demonstrated impact on strategic decision-making
- Advanced statistical modelling expertise with experience in forecasting, simulation techniques, and trend prediction for complex business challenges
- Modern AI/LLM engineering experience including RAG implementation, model fine-tuning, and building AI-powered business applications
- Strategic consulting experience or equivalent background working with senior stakeholders to translate technical analysis into business strategy
- Cloud platform proficiency with AWS, Azure, or GCP, including ML services, data pipelines, and scalable system architecture.
DESIRABLE QUALIFICATIONS
- Technology industry experience in high-growth environments with understanding of workforce planning, technology investment cycles, and competitive dynamics
- Enterprise data science experience in regulated industries with understanding of governance, compliance, and risk management requirements
- Experience mentoring junior data scientists or leading technical initiatives in cross-functional environments
- Advanced AI research experience including publications, conference presentations, or contributions to open-source AI projects
BENEFITS WE OFFER
- Hybrid Model: 2 office days/week with flexible leave policies, including maternity, paternity, and sabbaticals.
- Access to Learnerbly, Udemy, and a Self-Development Fund for upskilling.
- Career growth through Internal Mobility Programs.
- Comprehensive Health Insurance for you and dependents.
- Customised well-being programmes and a 24/7 helpline for holistic wellness.
- Sharesave Plan to purchase discounted company shares.
- Volunteering Leave and Team Events to build connections.
- Recognition through the Kudos Platform and Referral Rewards
WHY CHOOSE US
Flutter is an equal-opportunity employer and values the unique perspectives and experiences that everyone brings. Our message to colleagues and stakeholders is clear: everyone is welcome, and every voice matters. We have ambitious growth plans and goals for the future.
DISCLAIMER
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.
We thank all applicants for their interest; however, only the candidates who best meet the job requirements will be contacted for an interview.
By submitting your application online, you agree that your details will be used to progress your application for employment. If your application is successful, your details will be used to administer your personnel record. If your application is unsuccessful, we will retain your details for a period no longer than three years, to consider you for prospective roles within the company.
