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Senior Data Scientist

William Hill

London

On-site

GBP 40,000 - 80,000

Full time

30+ days ago

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Job summary

Join a forward-thinking company as a Data Scientist, where you'll harness the power of AI and machine learning to transform data into actionable insights. This role offers the opportunity to work with cutting-edge technologies and contribute to the development of innovative solutions within the betting and gaming industry. You'll collaborate with a dynamic team, applying statistical modeling and machine learning techniques to solve complex problems and drive business growth. With a commitment to diversity and a supportive work environment, this is your chance to make a significant impact while enjoying a range of benefits and a flexible working arrangement.

Benefits

Industry-leading maternity and paternity leave
Discounts at high-street retailers
Pension and bonus schemes
Mental health support services
Gym discounts
Cycle to work scheme
Flexible working arrangements

Qualifications

  • Relevant experience in data science with a strong educational background.
  • Excellent coding skills in Python, R, and SQL with cloud service knowledge.

Responsibilities

  • Develop AI/ML methods to extract insights and drive future innovations.
  • Analyze data quality and communicate findings to stakeholders.

Skills

Statistical Modelling Techniques
Machine Learning
Python
R
SQL
Cloud Services (AWS, Snowflake, Databricks)
Generative AI
Data Analysis
Data Validation
Data Transformation

Education

Bachelor's Degree in Computer Science
Bachelor's Degree in Statistics
Bachelor's Degree in Mathematics

Tools

Data Science Infrastructure
Machine Learning Tools

Job description

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.

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 to the Product Owner, Business Analyst, and other relevant stakeholders
  • Collecting data, exploring it, and performing analysis to extract information suitable to the business need. Identifying gaps in the data, aggregating data as per business need. Designing & performing Data Analysis, Data Validation, Data Transformation, Feature Extraction
  • Deciding approach for addressing business needs with Data & analytics. Understanding end user needs and working 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 presenting the analysis to key stakeholders.

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 outcomes to key stakeholders exploring new data sources 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 offer:

Our roles offer more than just a job, you'll become part of the William Hill family! 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. 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.

Apply:

At 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.

Apply today to kickstart your application with the evoke Family!

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