Product Machine Learning Scientist

evoke; London; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

Join a leading gaming company as a Product Machine Learning Scientist, where you'll tackle complex challenges and drive innovation through data-driven decision-making. This role emphasizes collaboration and advanced data analyses to enhance gaming experiences. Ideal for candidates with a strong background in machine learning and statistics, this position offers both a dynamic team environment and excellent career growth opportunities.

Benefits

Family support and enhanced parental leave

Discounts at high-street retailers

Financial compensation and pension scheme

Health & wellbeing support, including gym discounts

Hybrid working options with 80% remote flexibility

Qualifications

• Experience with predictive and probabilistic models.
• Background in Data Science or similar fields with a focus on applied statistics.
• Hands-on experience working with machine learning pipelines.

Responsibilities

• Collaborating on advanced Data Science solutions end-to-end.
• Leading projects in recommendation systems, A/B testing, and real-time predictions.
• Conducting independent research and innovation in new technologies.

Skills

Python

Applied Statistics

Machine Learning

SQL

Education

MSc in Computer Science/Statistics/Engineering

Job description

Join to apply for the Product Machine Learning Scientist role at evoke

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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

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