Junior Data Scientist
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.
- 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.
- Prior internship, co-op, or personal project experience focusing on applied machine learning (required).
- Familiarity with Git version control and collaborative software development practices (required).
- Basic exposure to cloud platforms (GCP, AWS, or Azure) (required).
- High energy, curiosity, and a proactive approach to solving problems (required).
- You are highly motivated by seeing your work have an immediate impact on business outcomes (required).
- 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 (required).
- Good understanding of SQL and experience writing queries to retrieve and manipulate datasets (required).
- A solid understanding of core machine learning algorithms, statistical concepts, and data analysis techniques (required).
- Strong verbal and written communication skills; comfortable presenting findings and collaborating with remote and local team members (required).
- 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) (required).
- Compensation: USD 70000 - USD 85000 - yearly.
At bet365, we are one of the world's leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 9,000 people and serve over 100 million customers in 27 languages. Our focus on In-Play betting has solidified our market-leading position, offering an unmatched experience across 96 sports and 700,000 streaming events. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe, we handle over 6 million HTTP requests daily and process more than 2 million bets per hour at peak. Innovation thrives at bet365. We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. With endless opportunities for growth and collaboration, team members have the chance to make a real impact in the world of online gambling. As a forward-thinking company, we’re breaking new ground in software innovation - together, we’re redefining what’s possible!