Data Scientist

FDJ UNITED

England

On-site

GBP 40,000 - 60,000

Full time

14 days+

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Job summary

A leading gaming operator in the United Kingdom is seeking a Data Scientist to contribute to data science projects that support commercial initiatives. Ideal candidates will have 1-2 years of experience in a data science role and a strong background in statistical modelling and machine learning. This full-time position offers a chance to work on large data sets and collaborate with marketing and retention teams to deliver innovative solutions. A PhD or Master's in a numerate discipline is required, along with excellent interpersonal skills.

Qualifications

1-2 years commercial experience in a data science role.
Solid understanding of statistical modelling and machine learning/AI.
Experience in cloud computing, ideally AWS.

Responsibilities

Apply machine learning methodologies to deliver data science projects.
Perform data analysis and modelling on large data sets.
Support measurement initiatives to demonstrate efficacy of solutions.

Skills

Statistical modelling

Machine learning

Problem-solving mindset

Interpersonal skills

Cloud computing (AWS)

Education

PhD or Masters in a numerate discipline

Job description

Join to apply for the Data Scientist role at FDJ UNITED

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.

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, FDJ UNITED collects a huge amount of data, including data about our customers’ betting and game‑play activity, their interests and motivations, and much more. We have invested heavily in data technologies and associated analytical tools that enable our data scientists 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 may also 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 deliver 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.
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.

Seniority level