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For Companies At a Glance
- 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, and industry-leading family support.
- Why this job: Be part of a top gaming company, tackling exciting challenges in a supportive and flexible environment.
- Qualifications: Experience with predictive models, Python, SQL, and an MSc in a related field is required.
- Other info: We prioritize diversity and inclusion, fostering a welcoming workplace for all.
The predicted salary is between 36000 - 60000 £ per year.
Job description
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!#J-18808-Ljbffr
Data Scientist employer: William Hill
Contact Detail:
William Hill 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. This role emphasizes collaboration with developers, analysts, and product managers, so sharing relevant experiences can set you apart.
✨Tip Number 3
Prepare to discuss your approach to end-to-end data science processes. Be ready to explain how you handle everything from business understanding to model deployment, as this is a key aspect of the position.
✨Tip Number 4
Research the gaming industry and be prepared to discuss how data science can solve specific challenges within it. Showing your knowledge about the industry will demonstrate your genuine interest in the role and the company.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure to customize your CV to highlight your experience with predictive models, clustering algorithms, and machine learning. Use specific examples that demonstrate your analytical skills and successful project implementations.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your understanding of the gaming industry. Mention how your background aligns with the company's ethos of responsible gambling and your ability to collaborate across departments.
Showcase Technical Skills: Clearly outline your proficiency in Python, SQL, and Git in your application. Provide examples of how you've used these technologies in past projects, especially in production environments.
Highlight Relevant Projects: Include details about specific projects you've led or contributed to, particularly those involving fraud detection, real-time predictions, or user clustering. This will demonstrate your hands-on experience and problem-solving capabilities.
How to prepare for a job interview at William Hill
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've successfully translated business requirements into technical solutions. Highlight your analytical and algorithmic skills with concrete instances from your past work.
✨Demonstrate Machine Learning Expertise
Since the role involves developing innovative machine learning models, be ready to explain your experience with predictive models, clustering algorithms, and classification techniques. Discuss any relevant projects where you implemented these methods.
✨Familiarize Yourself with the Gaming Industry
Research the gaming industry and understand the challenges it faces. Be prepared to discuss how your data science skills can contribute to solving problems like fraud detection or user personalization in this context.
✨Highlight Collaboration Experience
This role requires collaboration with various departments. Share examples of how you've worked with developers, analysts, and product managers in the past. Emphasize your ability to communicate complex data insights to non-technical stakeholders.
