At a Glance
- Tasks: Develop AI/ML methods to extract insights and drive innovation in betting and gaming.
- Company: Join evoke, a leading global betting and gaming company with renowned brands like William Hill and 888.
- Benefits: Enjoy hybrid working, industry-leading parental leave, discounts, and wellness support.
- Why this job: Be part of a dynamic team shaping the future of AI in gaming with a culture of trust and flexibility.
- Qualifications: Bachelor’s or higher in Computer Science, Statistics, or related fields; strong coding skills in Python, R, SQL.
- Other info: Diversity and inclusion are core values; apply today to join a welcoming workplace!
The predicted salary is between 43200 - 72000 £ per year.
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
- Converting data into practical insights
- Analysing and investigating data quality for identified data and communicate it to Product Owner, Business Analyst, and other relevant stakeholders
- Collecting Data, exploring 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 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. 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.
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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Senior Data Scientist employer: William Hill PLC
Contact Detail:
William Hill PLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Familiarize yourself with the latest trends in AI and machine learning, especially in the context of the betting and gaming industry. This will not only help you understand the role better but also allow you to discuss relevant topics during your interview.
✨Tip Number 2
Showcase your coding skills by working on personal projects or contributing to open-source projects that involve Python, R, or SQL. This practical experience can be a great talking point in interviews and demonstrates your hands-on abilities.
✨Tip Number 3
Network with professionals in the data science field, particularly those who work in gaming or related industries. Attend meetups, webinars, or conferences to make connections that could lead to referrals or insights about the company culture at evoke.
✨Tip Number 4
Prepare to discuss how you've used data to drive business decisions in your previous roles. Be ready to provide specific examples of how your analytical skills have led to actionable insights, as this aligns closely with the responsibilities outlined in the job description.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, machine learning, and statistical modeling. Use keywords from the job description to demonstrate that you meet the qualifications they are looking for.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your understanding of the betting and gaming industry. Mention specific projects or experiences that align with the responsibilities outlined in the job description.
Showcase Technical Skills: Clearly list your technical skills, especially in Python, R, SQL, and any cloud services like AWS or Snowflake. Provide examples of how you've applied these skills in previous roles or projects.
Highlight Collaboration Experience: Since the role involves working with various stakeholders, emphasize your experience in collaborating with product owners, business analysts, and other team members. Share examples of how you effectively communicated data insights to non-technical audiences.
How to prepare for a job interview at William Hill PLC
✨Showcase Your Technical Skills
Be prepared to discuss your experience with statistical modeling techniques and machine learning. Highlight specific projects where you've applied deep neural networks, Bayesian models, or Generative AI, and be ready to explain your coding proficiency in Python, R, and SQL.
✨Understand the Business Context
Demonstrate your understanding of how data science can drive business decisions. Be ready to discuss how you have previously converted data into practical insights and how you would approach identifying new features based on end-user needs.
✨Communicate Effectively
Since you'll be working with various stakeholders, practice explaining complex data concepts in simple terms. Prepare examples of how you've communicated data quality issues or analysis outcomes to non-technical team members.
✨Express Your Curiosity
Show your genuine interest in new technologies and software engineering. Discuss any recent trends in AI/ML that excite you and how you keep up with industry developments, as this aligns with evoke's commitment to innovation.