At a Glance
- Tasks: Join us as a Product Machine Learning Scientist tackling exciting challenges in the gaming industry.
- Company: Evoke is a leading betting and gaming company, part of 888 Holdings, focused on innovation.
- Benefits: Enjoy hybrid working, generous family support, discounts, health perks, and a vibrant work culture.
- Why this job: Be at the forefront of AI in gaming, collaborating with top talent to create exceptional player experiences.
- Qualifications: MSc in a relevant field with experience in machine learning and proficiency in Python and SQL required.
- Other info: We value diversity and inclusion, offering a welcoming workplace for all.
The predicted salary is between 28800 - 48000 £ per year.
We\’re evoke, one of the world\’s leading betting and gaming companies and we\’re looking for a Product Machine Learning Scientist to join our team. In this role, you\’ll work on highly complicated challenges in the gaming industry. Take a significant part in the growth process of one of the leading gaming companies in the world and work in a challenging, exciting and expanding environment. Work with leading developers, analysts, product managers and business owners on growth opportunities and new ideas and be part of our AI revolution. This is a unique opportunity for End-to-end Machine Learning Scientists that have a strong background and experience in machine learning pipeline going through business understanding, data exploration, feature engineering, model building, performance evaluation, testing and production deployment. Our Product Analytics team is at the heart of data-driven decision-making, empowering the company to create exceptional gaming experiences. We partner closely with product managers and business leaders to uncover insights, measure impact, and drive strategy. By analysing player behaviour, identifying trends, and evaluating feature performance, our team ensures that every decision is informed by robust, actionable data. Together, we fuel innovation and help deliver personalised, engaging experiences that delight our players and maximize value. What you will be doing: Collaborating with various departments in the company to provide advanced Data Science solutions end to end. Independent research and innovation in new content and technological domains. Taking a leading role in projects such as recommendation systems, churn and uplift modelling, real-time predictions, handling live streaming data, users clustering and personalization, product A/B continuous optimization, and many others. 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: MSc in Computer Science/Statistics/Engineering or a related field with a focus on applied statistics, AI, machine learning, or related fields with experience working with predictive and probabilistic models, clustering algorithms, classification models and time series techniques in a production environment. Proficiency with Python and all related Data Science libraries (numpy, pandas, matplotlib, etc.), and SQL with excellent analytical and algorithmic skills. A proven record for successful implementation of translating business requirements into a technical solution. Multi-tasking skills from a technologically diverse background and the ability/willingness to learn new things quickly. 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! #J-18808-Ljbffr
Product Machine Learning Scientist employer: William Hill PLC
Contact Detail:
William Hill PLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Machine Learning Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and AI, especially as they relate to the gaming industry. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role and the company.
✨Tip Number 2
Network with current employees or professionals in the gaming and data science fields. Engaging with them on platforms like LinkedIn can provide insights into the company culture and the specific challenges they face, which you can address in your discussions.
✨Tip Number 3
Prepare to discuss your past projects in detail, particularly those that involved end-to-end machine learning processes. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will showcase your problem-solving skills.
✨Tip Number 4
Stay updated on the company's recent developments and initiatives in the gaming sector. Being knowledgeable about their products and strategies will allow you to tailor your conversations and show how you can contribute to their goals.
We think you need these skills to ace Product Machine Learning Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, data science, and any specific projects that align with the role. Use keywords from the job description to demonstrate your fit.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the gaming industry and your understanding of machine learning applications within it. Mention specific projects or experiences that relate to the responsibilities outlined in the job description.
Showcase Technical Skills: In your application, emphasise your proficiency in Python and relevant data science libraries. Provide examples of how you've used these skills in previous roles, particularly in production environments.
Highlight Collaborative Experience: Since the role involves collaboration with various departments, include examples of past teamwork. Describe how you contributed to projects and how your input led to successful outcomes, especially in data-driven decision-making.
How to prepare for a job interview at William Hill PLC
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning pipelines and the specific tools you've used, such as Python and its libraries. Highlight any projects where you successfully implemented predictive models or data analysis techniques.
✨Understand the Gaming Industry
Familiarise yourself with the gaming sector and the challenges it faces. Being able to discuss how machine learning can enhance player experiences or improve business strategies will demonstrate your genuine interest in the role.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare to discuss how you would approach real-time predictions or user clustering, and be ready to explain your thought process clearly.
✨Emphasise Collaboration Skills
Since the role involves working closely with various departments, highlight your teamwork experiences. Share examples of how you've collaborated with product managers or analysts to drive data-driven decisions.