Junior Data Scientist

Job Description

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 $70,000-$85,000 annually.

Qualifications

• 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).

Additional Information

• 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.