#LI-LB1

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, The 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.

What you will do

• 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.

• Ensure that you adhere to the Governance, Risk & Compliance (GRC) obligations for your role.
• Identify and raise any non-compliance incidents promptly to your line manager.
• Challenge processes, policies and projects that will negatively impact compliance within the Group.
• Complete all mandatory compliance training assigned to you.
• Reach out to the Compliance Teams if unsure of any of your compliance obligations or the requirements are unclear.

Your experience

• 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.