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- Tasks: Tackle complex challenges in the gaming industry with cutting-edge machine learning solutions.
- Company: Join evoke, a leading name in betting and gaming, driving innovation and excitement.
- Benefits: Enjoy hybrid working, generous leave, discounts, and wellness support to thrive both personally and professionally.
- Why this job: Be part of an AI revolution, collaborating with top talent to create exceptional gaming experiences.
- Qualifications: MSc in relevant fields with experience in machine learning and proficiency in Python and SQL required.
- Other info: Embrace diversity and inclusion in a supportive workplace that values your unique strengths.
The predicted salary is between 43200 - 72000 £ per year.
Join to apply for the Product Machine Learning Scientist role at evoke Join to apply for the Product Machine Learning Scientist role at evoke Get AI-powered advice on this job and more exclusive features. Job Description 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. Job Description 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, exiting 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! Business evoke Seniority level Seniority level Entry level Employment type Employment type Full-time Job function Job function Other Industries Entertainment Providers Referrals increase your chances of interviewing at evoke by 2x Get notified about new Machine Learning Researcher jobs in London, England, United Kingdom . 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Product Machine Learning Scientist employer: evoke
Contact Detail:
evoke 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, especially those relevant to the gaming industry. Understanding how AI is being applied in gaming can give you an edge during discussions with the team at evoke.
✨Tip Number 2
Network with professionals in the gaming and machine learning sectors. Attend industry events or webinars where you can meet people from evoke or similar companies, as personal connections can often lead to job opportunities.
✨Tip Number 3
Prepare to discuss your past projects in detail, particularly those involving end-to-end machine learning processes. Be ready to explain your thought process, challenges faced, and how you overcame them, as this will showcase your problem-solving skills.
✨Tip Number 4
Research evoke's current products and services, focusing on their use of data analytics and machine learning. This knowledge will help you tailor your conversations and demonstrate your genuine interest in contributing to their mission.
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 at evoke. 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: Clearly list your proficiency in Python and relevant data science libraries, as well as your experience with SQL. Provide examples of how you've used these skills in previous roles to solve complex problems.
Highlight Collaborative Experience: Since the role involves working with various departments, emphasise any past experiences where you collaborated with cross-functional teams. This could include working with product managers, analysts, or developers on data-driven projects.
How to prepare for a job interview at evoke
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning pipelines, including data exploration, feature engineering, and model building. Bring examples of past projects where you successfully implemented predictive models or clustering algorithms.
✨Understand the Gaming Industry
Familiarise yourself with the gaming sector and its challenges. Research evoke's products and how they leverage AI to enhance user experiences. This knowledge will help you demonstrate your genuine interest in the role and the company.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with product managers and analysts, be ready to discuss how you've collaborated in previous roles. Share specific examples of how you contributed to team projects and drove data-driven decisions.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to responsible gambling, their AI initiatives, and future projects. This shows your engagement and helps you assess if the company aligns with your values and career goals.
