Data Scientist

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

You will be a skilled, hands-on contributor to data science projects. You will be contributing as part of a data science team which delivers in a variety of areas across the business. This is a predominantly hands-on role, although you will be interacting with business stakeholders and there will be opportunities to take increased responsibility for deliveries as your skills develop.

The Data Science team is part of a larger data and analytics group that has separate functions for Data Analytics, BI, and Data Engineering. This structure allows the Data Science team to focus on the core data science work and solve some of the hardest problems in the business.

As an online high transaction business, Kindred Group collects a huge amount of data. This includes data about our customer's betting and game play activity, their interests and motivations and much more. We have invested heavily in data technologies and associated analytical tools that enables our data scientist to provide innovative solutions using the latest techniques and technologies.

This role focuses primarily on commercial initiatives such as supporting our marketing, acquisition and retention teams with state-of-the-art Data Science solutions. However, with other areas such as personalisation, fraud, cyber security, risk management that more may require Data Science expertise, there will be no shortage of opportunities to apply and improve your skills.

Key Responsibilities

• Hands on contributor, applying machine learning methodologies to delivering data science projects that allow the company to achieve its goals.

• Perform data analysis and modelling on large (Tb) data sets.

• Work with senior DS and ML engineers to productionise solutions.

• Analyse wide range of data sources to identify new business value.

• Support measurement initiatives to demonstrate efficacy of solutions to stakeholders.

Experience, Knowledge, & Skills

• Circa 1-2 years commercial experience, ideally in a data science role.

• PhD or Masters in a numerate discipline.

• Strong Python skills.

• Solid understanding of statistical modelling and machine learning/AI.

• Excellent 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.

• Ideally experience in cloud computing, in particular AWS.

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.