ML Engineer - Integrity & Responsible Gaming Services (m/f/d)

We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.

ABOUT US:

Through our Integrity Services, we safeguard the fairness of global sport. Our AI-powered Universal Fraud Detection System (UFDS AI) is at the heart of our market-leading technology to identify betting-related match manipulation, enabling federations, leagues, and authorities to act with confidence. Together with our comprehensive suite of Prevention, Detection, and Action solutions, we are helping to preserve trust in sport worldwide.We are also committed to supporting a safe and sustainable betting ecosystem.

Our Responsible Gaming Services use advanced technology, data analysis, and behavioral insights to help operators identify punters at risk of developing gambling-related harm. By detecting early warning signs and providing actionable tools, we empower our partners to protect their customers and promote responsible play. At our core, we combine innovation, integrity, and responsibility to shape the future of sports and betting in a way that benefits fans, players, and partners alike.

THE CHALLENGE:

As a ML Engineer at Sportradar, you will work with world leading experts to design and develop data-driven predictive models and algorithms aimed at improving Sportradar's products and services. You will explore large collections of sports and betting data, focusing on the development of AI models to detect fraud in sport and players at risk. You will work closely with product owners and technical leads in our integrity services product vertical.

The successful candidate will be knowledgeable in machine learning and statistics, be comfortable working with big datasets, will understand methods for rigid validation of results, and master different statistical analysis tools and scripting to develop and validate models and data analysis ideas.

• Analyse and explore data using statistical analysis tools and scripting.
  
  

• Develop machine learning or statistical predictive models for use in our products and services.
  
  

• Rigorously validate methods, models, algorithms and hypotheses using back-testing on historical data and/or simulations.
  
  

• Design and implement novel methods for data analysis, tailored to our sports-related application domains.
  
  

• Propose new ways of using data to improve our products and services.
  
  

• Work closely with product owners and technical leads in our integrity services product vertical.
  
  

• Present ideas and solutions to software developers and business stakeholders in a clear and understandable way.
  
  

YOUR PROFILE:

• Bachelor of Computer Science / Engineering, or related field; equivalent experience is also acceptable.
  
  

• Good knowledge of programming in Python with demonstrable hands-on experience.
  
  

• Demonstrated competency in the following areas: machine learning and/or statistics, efficiently working with big data.
  
  

• Good knowledge of SQL.
  
  

• Bonus: Experience with development in Java.
  
  

• Bonus: Hands-on experience with big data frameworks (Flink, Spark) and/or cloud solutions (AWS S3, Redshift, Athena).
  
  

• Fluent in English (written and spoken).
  
  

• Autonomous, rigorous, creative and a team player.
  
  

OUR OFFER:

• A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US).
  
  

• Ability to shape your own workday and career via a clearly defined professional and personal development plan.
  
  

• Opportunity to work with senior leadership team and develop yourself within an inspiring and fast-growing company.
  
  

• Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants.
  
  

• Flexible working hours.
  
  

OUR RECRUITMENT PROCESS:

• Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations.
• First interview: First meeting with Hiring Team to dive into your experience, skills and technical knowledge.
• Second Interview: With SVP, AI - optional.
• Final Steps: Receive feedback and, if successful, an offer!
  
  

At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!