Data Science Engineer (Apprentice)

DraftKings; London; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading gaming technology company in London is seeking an Associate Data Science Engineer. You will design, test, and deploy machine learning models to enhance sports betting. This role includes a prestigious Master's degree opportunity through a UK Apprenticeship Programme. The ideal candidate has a Bachelor's degree in a related field and experience with Python.

Benefits

Fully funded Master's Degree in Data Science

Qualifications

• Experience using Python and its application to data science.
• Knowledge of object-oriented programming is beneficial.
• Some understanding of data science and statistical modelling principles.

Responsibilities

• Create and test statistical and machine learning models.
• Build and manage sportsbook data assets.
• Establish and monitor reliable data flows.
• Implement data science applications in Python.
• Create automated tests for models and applications.
• Design data-driven tools for monitoring and analytics.
• Explore new approaches to optimise model performance.

Skills

Python programming

Statistical analysis

Machine learning

Data engineering

Education

Bachelor's degree in Statistics, Data Science, Mathematics, Computer Science, Engineering

Job description

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.

The Crown Is Yours

As an Associate Data Science Engineer, you'll join a team that blends sports modelling expertise with machine learning to power our Sportsbook platform. You'll design, test, and deploy models that deliver real business impact-bringing together your creativity, statistical skills, and engineering mindset. This role is part of the UK Apprenticeship Programme in partnership with Northeastern University, offering a fully funded Master's Degree in Data Science. You'll spend 80% of your time working on live projects at DraftKings and 20% on advancing your academic learning.

What You'll Do

• Create and test statistical and machine learning models to predict sporting outcomes.
• Build and manage sportsbook data assets to support the development of data science models.
• Establish and monitor reliable data flows between data science applications and the wider organisation.
• Implement data science applications in Python.
• Create automated tests to ensure the accuracy and reliability of models and applications.
• Design advanced data-driven tools for monitoring and analytics.
• Explore and experiment with new approaches to optimise model performance and improve data science workflows.
• Utilize AI and machine learning techniques to enhance model accuracy, automate processes, and uncover innovative solutions to sports modelling challenges.

What You'll Bring

• Bachelor's degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or related field is required for this program.
• Experience using Python and its application to data science and data engineering.
• Knowledge of object-oriented programming is beneficial.
• Some understanding of data science and statistical modelling principles will be considered an asset.

• As this program is partially funded by the Government, we can only accept applications from candidates who are based in England and enrolled in Level 7 (Masters) programmes.

Join Our Team

We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role.