Data Scientist
As a Data Scientist, you will develop machine learning solutions and perform statistical analysis to inform strategic, data-driven business decisions and initiatives. The Data Analytics team monitors, analyses, and optimises key performance indicators across the range of Sports and Gaming products.
In this role, you will be instrumental in extracting valuable insights from vast datasets, developing predictive models, and contributing to data-driven decision-making across various business functions. Collaborating with stakeholders from areas such as Fraud, Responsible Gambling, Trading and Branding allows for the identification of opportunities, solving complex problems, and building robust data solutions. This role is eligible for inclusion in the company's hybrid work from home policy.
- Sourcing, cleaning, and validating diverse datasets from various internal and external sources.
- Conducting in-depth exploratory data analysis to uncover hidden patterns, identify trends, and generate actionable insights that inform strategic business decisions.
- Developing and deploying robust statistical and machine learning models to address complex business challenges and drive innovative solutions.
- Designing, implementing, and analysing A/B tests and other controlled experiments to measure the impact of new features, strategies, or models.
- Contributing to the development and maintenance of scalable data science infrastructure.
- Partnering closely with stakeholders to understand key business goals and translate them into effective, data-driven solutions.
- Communicating complex findings and insights to technical and non-technical audiences through visualisations, reports, and presentations.
- Researching and championing innovative data science techniques, tools, and methodologies.
- Fostering a culture of continuous learning and innovation within the wider Data Analytics team.
- Excellent analytical, problem-solving, and critical thinking skills (required).
- PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field (required).
- Experience using core machine learning techniques, such as regressions, classification, clustering and deep learning (required).
- Strong programming skills in languages such as Python, R, SQL (required).
- Familiarity with data science libraries and frameworks (required).
- Detailed understanding of data mining, data warehousing, and data visualisation techniques (required).
- Knowledge of Artificial Intelligence and its use within data science (required).
- Strong communication skills with both technical and non-technical audiences (required).
- Knowledge of cloud computing, distributed systems, and big data technologies (required).
bet365 is one of the world's leading online gambling companies, founded in 2000 by Denise Coates CBE. The company employs over 9,000 people and serves more than 100 million customers in 27 languages, with a market-leading position built on its In-Play betting product. It offers betting across 96 sports and hundreds of thousands of streaming events, handling millions of requests and bets at peak times. Headquartered in Stoke-on-Trent, England, bet365 is known for its software innovation and continues to develop its online betting and gaming platform.