Marketing Data Scientist

At bet365, we're one of the world's leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 9,000 people and serve over 100 million customers in 27 languages. Our focus on In-Play betting has solidified our market-leading position, offering an unmatched experience across 96 sports and 700,000 streaming events. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe, we handle over 6 billion requests daily and process more than 2 million bets per hour at peak.
This offers employees a wealth of opportunities for growth, giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company, we’re breaking new ground in software innovation too, redefining what’s possible for our customers worldwide.
As a Data Scientist, you will be responsible for developing machine learning solutions and performing statistical analysis to inform strategic, data-driven business decisions and initiatives.
We are seeking a talented and motivated Data Scientist to join our Data Analytics team. The department is responsible for monitoring, analysing, and optimising key performance indicators across our 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. You will work collaboratively with stakeholders from areas such as Fraud, Responsible Gambling, Trading and Branding to identify opportunities, solve complex problems, and build robust data solutions.
This is an exciting opportunity to apply cutting-edge data science techniques in a fast-paced, high-volume, and globally recognised industry, utilising a modern and powerful tech stack.
This role is eligible for inclusion in the Company’s hybrid working from home policy.

PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
Experience using core machine learning techniques, such as regressions, classification, clustering and deep learning.
Strong programming skills in languages such as Python, R, SQL.
Familiar with data science libraries and frameworks.
Detailed understanding of data mining, data warehousing, and data visualisation techniques.
Knowledge of Artificial Intelligence and its use within data science.
Knowledge of cloud computing, distributed systems, and big data technologies would be advantageous.

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.
~ 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.
~ Researching and championing innovative data science techniques, tools, and methodologies.
~ Fostering a culture of continuous learning and innovation within the wider Data Analytics team.

By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice -
If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don’t hesitate to reach out.