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- Tasks: Develop innovative machine learning models and collaborate on advanced Data Science solutions.
- Company: Join evoke, the powerhouse behind brands like William Hill and 888, embracing change and progress.
- Benefits: Enjoy hybrid working, competitive salary, 25 days holiday, discounts, and comprehensive healthcare.
- Why this job: Be part of a top gaming company, tackling exciting challenges in a supportive and flexible environment.
- Qualifications: MSc in Computer Science/Statistics/Engineering with experience in predictive models and Python.
- Other info: We prioritize diversity and inclusion, fostering a welcoming workplace for all.
The predicted salary is between 28800 - 42000 £ per year.
If you’re someone with excellent analytical and algorithmic skills with a record for successful implementation of translating business requirements into a technical solution then this could be your perfect role!
We’re looking for a passionate and experienced Data Scientist to develop innovative machine learning models for solving problems within a wide scope.
This is a unique opportunity for End-to-end Data Scientists with experience in machine learning pipeline, going through business understanding, data exploration, feature engineering, model building, performance evaluation, testing and production deployment.
What you will be doing:
- Collaborating with departments to provide advanced Data Science solutions end to end
- Undertaking research and innovation in new content and technological domains
- Leading projects including fraud and anomaly detection, marketing mix optimisation, real-time predictions, handling live streaming data, LTV forecast, users clustering and personalisation
- Working on challenges in the gaming industry whilst taking a significant part in growth process of one of the top gaming companies
- Working with developers, analysts, product managers and business owners on growth opportunities and new ideas
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:
- Significant experience working as a Data Scientist using predictive and probabilistic models, clustering algorithms, classification models and time series techniques in a production environment
- Experience with Python, databases and complex SQL procedures, as well as Git and various branching models
- Technologically diverse background and ability to learn new things quickly
- MSc in Computer Science/Statistics/Engineering or a related field with a focus on applied statistics, AI, machine learning, or related fields
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. 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 prioritize 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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Data Scientist employer: William Hill PLC
Contact Detail:
William Hill PLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the specific machine learning models and techniques mentioned in the job description. Being able to discuss your experience with predictive models, clustering algorithms, and time series techniques will show that you understand the role's requirements.
✨Tip Number 2
Highlight any previous projects where you've collaborated with cross-functional teams, such as developers and product managers. This will demonstrate your ability to work in a team-oriented environment, which is crucial for this position.
✨Tip Number 3
Prepare to discuss your experience with Python and SQL in detail. Be ready to provide examples of how you've used these tools in past projects, especially in a production environment, as this is a key requirement for the role.
✨Tip Number 4
Research the gaming industry and be prepared to talk about current trends and challenges. Showing your knowledge and passion for the industry will set you apart from other candidates and align with the company's focus.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with predictive models, clustering algorithms, and machine learning techniques. Use specific examples from your past work that demonstrate your analytical skills and successful project implementations.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how it aligns with the company's goals. Mention your experience in collaborating with cross-functional teams and your ability to translate business requirements into technical solutions.
Showcase Technical Skills: Clearly outline your proficiency in Python, SQL, and any other relevant technologies. If you have experience with Git and branching models, be sure to include that as well. Providing examples of projects where you've utilized these skills can strengthen your application.
Highlight Relevant Education: Mention your MSc in Computer Science, Statistics, or a related field prominently. If you have completed any relevant coursework or projects focused on AI or machine learning, include those details to showcase your academic background.
How to prepare for a job interview at William Hill PLC
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've successfully translated business requirements into technical solutions. Highlight your experience with predictive models and clustering algorithms, as these are key aspects of the role.
✨Demonstrate Your Technical Proficiency
Make sure to talk about your experience with Python, SQL, and Git. Be ready to explain complex SQL procedures you've implemented and how you've used these tools in a production environment.
✨Discuss Your End-to-End Data Science Experience
Since the role involves end-to-end data science solutions, be ready to walk through your process from business understanding to model deployment. Share insights on how you've handled challenges in previous projects.
✨Emphasize Collaboration and Innovation
Highlight your ability to work with cross-functional teams, including developers and product managers. Discuss any innovative projects you've led, especially those related to fraud detection or real-time predictions, to show your proactive approach.
