Data Scientist

Details

Work Location Type:
Hybrid
Office:
London
Type of Employment:
Full Time Permanent
Reference Number:
TEC2734

About Us

At FDJ UNITED, we don't just follow the game, we reinvent it.

FDJ UNITED is one of Europe’s leading betting and gaming operators, with a vast portfolio of iconic brands and a reputation for technological excellence. With more than 5,000 employees and a presence in around fifteen regulated markets, the Group offers a diversified, responsible range of games, both under exclusive rights and open to competition. We set new standards, proving that entertainment and safety can go hand in hand. Here, you’ll work alongside a team of passionate individuals dedicated to delivering the best and safest entertaining experiences for our customers every day.

We’re looking for bold people who are eager to succeed and ready to level-up the game. If you thrive on innovation, embrace challenges, and want to make a real impact at all levels, FDJ UNITED is your playing field.

Join us in shaping the future of gaming. Are you ready to LEVEL-UP THE GAME?

The role

As a member of the Product Personalisation Data Science team, you will be a skilled hands-on contributor in a wide array of data science projects. Although this is a predominantly hands-on role, you will have ample opportunity to interact with experienced and motivated business stakeholders as your skills and business understanding develops.

The Data Science team is part of a larger data and analytics group called A&I that has separate functions for Data Science & Machine Learning, Data Analytics, BI, Data Engineering and Responsible Gaming among others. This structure allows the Data Science & Machine Learning Engineering teams to focus on the core data science projects with the best possible support.

As an online high transaction business, FDJ United collects larger amounts of data both internally and 3rd party business partners. With this wealth of data generated from betting and game play activity, as well as the latest tools and technologies available to our technical teams, you will be expected to provide innovative solutions to new and old challenges faced by the business.

This particular role focuses primarily on product personalisation with a strong focus on product placement, product recommendation and personalisation, customer behaviour, A/B testing and more. Given its direct impact to the business, it is an exciting role for ambitious professionals who desire to more quickly observe the fruits of their work.

What you will do

Hands on contributor, applying machine learning methodologies to delivering data science projects that allow the company to achieve its many goals.
Work with a cross-functional group responsible for product personalisation.
Perform data analysis and modelling on large (Tb) data sets.
Work with Data Scientists and ML engineers to productionise solutions.
Analyse wide range of data sources to identify new business value.

Your experience

1-3 years of commercial experience, ideally in a data science/machine learning role.
PhD or Masters in a STEM discipline.
Strong Python/SQL skills.
Good overall programming & software development knowledge.
Good statistics fundamentals
Good understanding of statistical traditional and modern modelling and machine learning/AI techniques.
Interpersonal skills and the ability to explain complex topics to stakeholders.
A problem-solving growth mindset with the ability to pick up new concepts quickly.
Ideally experience putting models and processes into production.
Experience in cloud computing, in particular AWS.
Advanced knowledge of A/B testing and design of experiment.
Strong knowledge of recommender systems.

Our Way Of Working

Our world is hybrid.

A career is not a sprint. It’s a marathon. One of the perks of joining us is that we value you as a person first. Our hybrid world allows you to focus on your goals and responsibilities and lets you self-organise to improve your deliveries and get the work done in your own way.

Application Process

We believe talent knows no boundaries. Our hiring process focuses solely on your skills, experience, and potential to contribute to our team. We welcome applicants from all backgrounds and evaluate each candidate based on merit, regardless of personal characteristics as the age, gender, origin, religion, sexual orientation, neurodiversity or disability.