Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Science Engineer

DraftKings
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Science Engineer - Tennis

Senior Data Science Engineer

Senior Data Science Engineer - Tennis

Senior Data Scientist (LLM)

Senior Data Scientist (LLM)

Data Science 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

DraftKings is a leader in the digital sports entertainment and gaming industry. We provide a world-class, immersive experience for our users and are at the forefront of technological innovation in the industry. Our Sports Intelligence team plays a critical role in developing solutions that power our platform and drive our business forward. We are forming a new unit focused on driving automation and efficiency within our Sportsbook. You’ll build complex low latency systems to support data science decision-making at scale, to unlock more value for the business.

As a Senior Data Science Engineer at DraftKings, you will play a pivotal role in driving our data science initiatives forward. You will be responsible for developing advanced models and algorithms, analyzing large datasets, and providing actionable insights to enhance our product offerings and business operations..

 What You'll Do as a Senior Data Science Engineer

Lead data science projects from conception to deployment, ensuring high-quality and timely delivery.

Develop and implement statistical models and machine learning algorithms to solve complex business problems.

Collaborate with cross-functional teams to integrate data science solutions into production systems.

Mentor junior data scientists and provide guidance on best practices and methodologies.

Communicate technical findings and insights to internal stakeholders to support data-driven decision-making.

Assist with the adoption of data-driven strategies into the trading processes​​​​

Assist with the design, development, maintenance, and testing strategy of trading automation solutions, ensuring alignment with overall business objectives

What You'll Bring

Proven experience in data science, with a strong foundation in machine learning and statistical modeling.

Experience developing LSTM-based models for sequential forecasting or behavioral modeling.

Familiarity with probabilistic graphical models (e.g., Bayesian networks, Markov random fields) for structured data relationships.

Proficiency in programming languages such as Python or R, and experience with data manipulation and visualization tools.

Demonstrated ability to break down complex problems into manageable tasks and deliver high-quality results.

Excellent problem-solving skills and the ability to work collaboratively in a team environment.

Experience in developing and implementing automated trading or decision-making systems is highly desirable

Experience with Kubernetes and Kafka are desirable

Experience with Databricks is desirable

Experience with experimentation is desirable

A Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline.

#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.

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.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.

Translucent Careers: Senior Artificial Intelligence Engineer in London

The global landscape of artificial intelligence is evolving rapidly, and nowhere is this transformation felt more strongly than in the financial and accounting industries. AI is no longer just a supporting technology; it is becoming the backbone of innovation, efficiency, and decision-making. One of the most exciting companies at the forefront of this movement is Translucent, a dynamic business redefining how accounting professionals work with AI-driven tools. For professionals seeking to combine technical excellence with meaningful industry impact, Translucent represents a rare career destination. At the heart of their current expansion is an opening for a Senior Artificial Intelligence Engineer in London. This role combines high-level technical leadership, hands-on development, and an opportunity to influence the direction of an emerging force in AI. In this article, we’ll explore: Who Translucent are and why they matter. The significance of AI in financial technology (fintech) and accounting. A deep dive into the Senior AI Engineer role. Skills and requirements needed for success. Career growth and opportunities at Translucent. How artificialintelligencejobs.co.uk helps professionals connect with transformative employers like Translucent.

The Future of Artificial Intelligence Jobs: Careers That Don’t Exist Yet

Artificial Intelligence (AI) has already transformed the global job market. From data scientists and machine learning engineers to AI ethicists and prompt engineers, many roles that seemed futuristic only a decade ago are now mainstream. Yet this is only the beginning. AI is progressing faster than any other technology in history, and the UK is at the forefront of its adoption, with government strategies, academic research, and private investment all accelerating growth. As generative AI, autonomous systems, robotics, and cognitive computing expand, completely new careers will emerge—jobs that don’t yet exist, but which will soon become central to how organisations, societies, and economies function. This article explores what those roles might look like, why they will matter, and how today’s professionals can prepare for careers that are still being invented.