National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Science Engineer

DraftKings
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist (Engineering Technologies)

Data Science Engineer

Senior Data Scientist - Outside IR35 Contract

Senior Data Scientist

Senior Data Scientist / AI Engineer

We’re defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming.

Here, “impossible” isn’t part of our vocabulary. You’ll face some of the toughest but most rewarding challenges of your career. They’re worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers.

The Crown Is Yours

Our team comprises sports modelling experts and data science technologists, coming together to develop innovative DS products that drive measurable value on the Sportsbook platform at DraftKings.

We embrace a culture of curiosity and constant improvement, working collaboratively in a fast-paced environment with industry-leading technologies. As part of this role, you will be a creative thinker, utilizing data, machine learning, and software development skills to craft high-impact best-in-class sports models that grow the business.

What you'll do as a Senior Data Science Engineer

Create statistical and machine learning models and integrate them into DS applications 

Expand the capabilities of our Baseball models with enhanced granularity

Writing production quality code to deploy and run models in a sportsbook platform

Utilise our MLOps platform to train and productionise ML models

Create automatic tests to ensure model accuracy

Collaborate closely with product, developers, QAs and delivery leads to move projects from ideation to development and deployment

Test that the data flows work as expected and that models are well integrated into the larger business context

Coach and support more junior data scientists within the team

What You'll bring

Highly proficient in Python

Experience of building statistical or machine learning models for sports

Solid understanding of data science and statistical modelling principles

Experience with Kubernetes and Kafka are desirable

Knowledge of MLOps principles and related tools will be considered an asset

Familiarity with version control concepts

Understanding of object-oriented programming principles

PhD, Masters or Bachelor’s degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or related field

Keen interest in sports 

Understanding of Sportsbook products is desirable

#LI-SM1

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.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.