Junior Data Scientist

We’re one of the world’s leading online gambling companies revolutionising the industry since 2000. Founded by Denise Coates CBE we now employ over 10000 people and serve over 120 million customers in 26 languages. 

We empower our employees to push boundaries and explore new ideas cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of growth opportunities giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company we’re breaking new ground in software innovation too redefining what’s possible for our global worldwide.

Our focus on In-Play betting has solidified our market-leading position featuring more than 1.38 million In-Play sporting events a year. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe (750000) we handle over 6 million HTTP requests daily and process more than 1.5 million bets per hour at peak.

Join our US Data team. We want curious minds who love fast execution and real impact. Kickstart your career in an environment that values practical results over theoretical perfection.

You will work on real-world business challenges learning from senior colleagues and deploying machine learning solutions directly to production.

We want a candidate with a “startup attitude”—someone who is energetic eager to learn and possesses a strong “get it done” personality. You are not afraid to ask questions experiment rapidly and iterate on solutions.

Reporting directly to the Data Science Team Leader you will collaborate with Machine Learning Engineers and Data Scientists both in the US and the UK. You will gain extensive hands-on experience across our cutting-edge cloud-native Google Cloud Platform (GCP) and MLOps tech stack.

The listed salary for this position is $70000-$85000 annually. 

• Prior internship co-op or personal project experience focusing on applied machine learning. 
• Familiarity with Git version control and collaborative software development practices. 
• Basic exposure to cloud platforms (GCP AWS or Azure). 
• High energy curiosity and a proactive approach to solving problems. You are highly motivated by seeing your work have an immediate impact on business outcomes. 
• Solid proficiency in Python and familiarity with key data science libraries (Scikit-learn Pandas NumPy) as well as AI technologies deployed in a production environment. 
• Good understanding of SQL and experience writing queries to retrieve and manipulate datasets. 
• A solid understanding of core machine learning algorithms statistical concepts and data analysis techniques. 
• Strong verbal and written communication skills; comfortable presenting findings and collaborating with remote and local team members. 
• Bachelor’s or Master‘s degree in a quantitative field (Computer Science Statistics Mathematics physics or Engineering) or equivalent practical experience (e.g. intensive bootcamps combined with strong personal portfolios). 

• Contributing actively to the full data science lifecycle: from data preparation cleansing and feature engineering through to model training evaluation and documentation. 
• Assisting in the building and testing of proof-of-concept models to solve business challenges in real-time. 
• Helping design and analyze A/B tests and other operational experiments to measure the real-world impact of our models. 
• Working closely with the Data Science Team Lead Machine Learning Engineers and Data Product Lead to understand business requirements and translate them into data insights. 
• Proactively develop your skills in Python SQL GCP (Vertex AI) and MLOps methodologies capitalizing on mentorship from senior team members. 

bet365 provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.

What We Do

We’re one of the world’s leading online gambling companies revolutionizing the industry since 2000. Founded by Denise Coates CBE we now employ over 10000 people and serve over 120 million customers in 26 languages. We empower our employees to push boundaries and explore new ideas cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of growth opportunities giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company we’re breaking new ground in software innovation too redefining what’s possible for our global worldwide.Our focus on In-Play betting has solidified our market-leading position featuring more than 1.38 million In-Play sporting events a year. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe (750000) we handle over 6 million HTTP requests daily and process more than 1.5 million bets per hour at peak.

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