Senior Data Scientist

Job title:

Senior Data Scientist

Company

William Hill

Job description

We’re evoke, one of the world’s leading betting and gaming companies. The Group owns and operates internationally renowned brands including William Hill, 888, and Mr Green and we’re looking for an experienced (London or Leeds based) Data Scientist to be responsible for developing AI/ML methods, processes and systems to extract knowledge or insights to drive the future of artificial intelligence.What you will be doing:

• Applying and/or developing statistical modelling techniques (such as deep neural networks, Bayesian models, Generative AI, Forecasting), optimization methods and other ML techniques
• Synthesising problems into data question(s)
• Converting data into practical insights
• Analysing and investigating data quality for identified data and communicate it Product Owner, Business Analyst, and other relevant stakeholders
• Collecting Data, explore it, and performing analysis to extract information suitable to the business need. You will Identify gaps in the data, aggregate data as per business need. Design & perform Data Analysis, Data Validation, Data Transformation, Feature Extraction
• Deciding approach for addressing business needs with Data & analytics. Understand end user needs and work accordingly with identifying new features in the data
• Developing Data Science and Engineering Infrastructure and Tools
• Deriving key metrics suitable for the use-case and present the analysis to key stakeholder.

Who we are looking for:We are committed to responsible gambling, and we are looking for people who can support our ethos. To apply to this post, you will have:

• Relevant Industry experience with a Bachelor’s or higher degree in Computer Science, Statistics, Mathematics or related disciplines.
• Ability to analyse data and communicate outcome to key stakeholders exploring new data source with excellent coding skills in python, R, SQL etc. Understanding of cloud services AWS, Snowflake and Databricks.
• Evidence of academic training in Statistics. Deep/broad knowledge of machine learning, statistics, optimisation, or related field with exposure to Generative AI and Large Language Models.
• A genuine curiosity about new and applied technology and software engineering coupled with a high degree of business understanding with experience in large scale product development (is a plus).

What we offerOur roles offer more than just a job, you’ll become part of the evoke! We have created an environment where our people can thrive. Check out some of the fantastic benefits on offer:

• Family Support Industry-leading maternity and paternity leave and paid time off if you have caring responsibilities.
• Perks and discounts- Discounts at a range of high-street retailers
• Financial compensation, pension, and bonus schemes.
• Health & wellbeing Tools and services to help support your well-being, including support with mental health and financial education. You will also have access to gym discounts and our cycle to work scheme.
• Hybrid working Our employees can work from home up to 80% of the time with 20% of office time built in to ensure we get some face-to-face collaborative team time – and the chance for a coffee and a catch-up!

More about evoke:We’re a business that embraces change and progress. The power behind big name brands William Hill, 888 and Mr Green, evoke is the new name for 888 Holdings. Marking a new sense of purpose, direction and ambition for the business, there couldn’t be a more exciting time to join us as we accelerate our journey to bring even greater delight to our customers with world-class betting and gaming experiences. That’s the future. That’s evoke.At evoke, you’ll benefit from flexibility and a culture built on trust. We’ll give you the space to be yourself and the tools you need to protect our customers while they play. We’ll invest in your future to help you develop your unique strengths and build a career that’s right for you.ApplyAt evoke, we prioritise diversity, equity, and inclusion for the benefit of our company, employees, and communities. We foster a welcoming and safe workplace that values all forms of diversity and provides opportunities for growth.Sound good? Then you belong at our place! The first step in the recruitment process is kickstarting your application, followed by an initial screening call and an interview stage.

Expected salary

Location

London

Job date

Thu, 10 Apr 2025 07:21:20 GMT

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