Head of Data Science

Head of Data Science

Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead a team of Data Scientists to develop innovative data science products.
  • Company: Join evoke, the powerhouse behind major brands like William Hill and 888.
  • Benefits: Enjoy hybrid working, competitive salary, generous holiday, and wellness support.
  • Why this job: Be part of a digital transformation and make a real impact in data science.
  • Qualifications: M.Sc./PhD in Exact Science with strong people management and programming skills required.
  • Other info: Embrace diversity and inclusion in a supportive workplace culture.

The predicted salary is between 48000 - 72000 £ per year.

We are looking for an experienced, energetic, and enthusiastic Data Science expert to join us to manage a team of skilled Data Scientists and manage the development of cross-functional Data Science Products. You'll have M.Sc./PhD in Exact Science (Physics/Computer Sciences/Mathematics or equivalent) alongside amazing people management experience and Python and SQL programming capabilities.

This is an exciting time to join evoke, as we undergo our digital transformation - we are building a global team to develop cutting edge models in various domains such as Marketing, Fraud, player's protection, retention, etc., that are developed in Databricks and Python.

What you will be doing:

  • Translating business requirements into data science and analytical problems and lead the teams across multiple locations to deliver best in class Data Science products which are aligned with business objectives and into product roadmaps.
  • Overseeing the deployment of our data platform to enable the team to experiment, build, operationalise, and measure model performance in an agile and performant way.
  • Leading and contributing hands-on to the development of cutting-edge data science models and solutions.
  • Growing the capabilities of the Data Science and Analytics teams by developing leadership and deep expertise in the team, and by hiring talented candidates.
  • Providing operational and strategic management and guidance to the Data Science and Analytics Team.
  • Working closely with analytical units to understand drivers of business and product performance, and proactively develop new ideas and concepts.
  • Making strategic recommendations on data collection (first party and third party), integration, and retention requirements incorporating business requirements.
  • Capturing the demand for predictive analytics and opportunities for Data Science products within the organisation and prioritising the work required through a close collaboration with Data Solutions Management, key business stakeholders, internal end-users, and tech delivery teams.
  • Representing Data Science in the respective forums to communicate and evangelise the work and achievements of the team through internal and external forums whilst measuring and demonstrating revenue added by Data Science products.

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:

  • Experience of algorithms development with proven experience in ML and data processing alongside people management.
  • Held a post with accountability and authority over a large company's data science resources.
  • Experience in recruiting, managing, training, and retaining a team of ambitious and highly skilled data scientists and digital analysts.
  • Experience with MLops and related methodologies and DataBricks.

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:

  • Financial: Competitive salary and bonus schemes.
  • 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!
  • Holiday entitlement: You'll be entitled to 25 days holiday, plus 8 bank holidays and an extra day for your birthday.
  • Perks and discounts: Discounts at a range of high-street retailers.
  • Family Support: Industry-leading maternity and paternity leave and paid time off if you have caring responsibilities.
  • 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.
  • Travel Card: Enjoy access to our Metro Card loan for convenient and money saving commuting.
  • Healthcare: We prioritise your health and well-being, offering comprehensive healthcare benefits (or a cash alternative).
  • Pension package and life assurance: Safeguarding your financial future and offering peace of mind.

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.

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!

Head of Data Science employer: William Hill

At evoke, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration. With competitive salaries, generous holiday entitlements, and a strong commitment to employee well-being, including hybrid working options and comprehensive healthcare benefits, we ensure our team members thrive both personally and professionally. Join us in our exciting journey of digital transformation, where you'll have the opportunity to lead a talented team, develop cutting-edge data science products, and grow your career in a supportive environment that values diversity and inclusion.
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Contact Detail:

William Hill Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Head of Data Science

✨Tip Number 1

Network with professionals in the data science field, especially those who have experience in managing teams. Attend industry conferences or webinars to connect with potential colleagues and learn about the latest trends in data science.

✨Tip Number 2

Showcase your leadership skills by participating in or leading data science projects, either at your current job or through open-source contributions. This hands-on experience will demonstrate your ability to manage teams and deliver results.

✨Tip Number 3

Familiarise yourself with the tools and technologies mentioned in the job description, such as Databricks and MLOps methodologies. Consider taking online courses or certifications to enhance your knowledge and make you a more attractive candidate.

✨Tip Number 4

Prepare to discuss how you've translated business requirements into data science solutions in previous roles. Be ready to provide specific examples of how your work has positively impacted business outcomes, as this aligns closely with the responsibilities of the role.

We think you need these skills to ace Head of Data Science

Advanced Python Programming
SQL Proficiency
Machine Learning Algorithms
Data Processing Techniques
People Management
Team Leadership
Experience with MLOps
Familiarity with Databricks
Strategic Thinking
Analytical Problem Solving
Cross-Functional Collaboration
Data Science Product Development
Recruitment and Talent Management
Performance Measurement
Communication Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in data science, people management, and relevant programming skills like Python and SQL. Use specific examples that demonstrate your leadership in developing data science products.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their needs, particularly your experience with ML, data processing, and team management.

Showcase Relevant Projects: Include details of any significant projects you've led or contributed to that involved data science models or solutions. Highlight your role in translating business requirements into analytical problems and the impact of your work.

Prepare for the Interview: Anticipate questions related to your experience in managing data science teams and your approach to developing data-driven strategies. Be ready to discuss your understanding of MLOps and how you would lead a team through digital transformation.

How to prepare for a job interview at William Hill

✨Showcase Your Technical Expertise

Be prepared to discuss your experience with Python, SQL, and machine learning algorithms in detail. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your hands-on capabilities.

✨Demonstrate Leadership Skills

Since the role involves managing a team, be ready to share examples of how you've led teams in the past. Discuss your approach to mentoring and developing talent, as well as how you handle conflicts or challenges within a team.

✨Align with Business Objectives

Understand the company's goals and be prepared to explain how your data science strategies can align with their business objectives. This shows that you can think strategically and understand the bigger picture.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would approach translating business requirements into data science solutions and be ready to articulate your thought process clearly.

Head of Data Science
William Hill
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  • Head of Data Science

    Full-Time
    48000 - 72000 £ / year (est.)

    Application deadline: 2027-04-20

  • W

    William Hill

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