Graduate Data Scientist

Graduate Data Scientist

Edinburgh, Hybrid

Excellent opportunity to work with an incredible support team not to mention a fantastic salary and benefits

Role Overview: Idea for Graduate Data Scientist;

We are seeking a highly motivated and curious Graduate Data Scientist to join our growing team. This is an ideal opportunity for a recent graduate looking to kickstart their career by working on real-world problems, developing advanced analytics, and contributing to innovative product features from day one.

As a Graduate Data Scientist, you'll be involved in everything from model development to field testing, supporting cross-functional teams and helping shape how data is used across the business.

Key Responsibilities:

• Develop and refine machine learning models to support product innovation and performance analysis
• Collaborate with the R&D and Data teams to test and validate product ideas using real-world datasets
• Participate in field testing to collect and evaluate raw data, ensuring it is accurate, consistent, and usable
• Support the development of production-ready data features and pipelines
• Create internal tools, dashboards, and visualisations to improve decision-making and operational efficiency
• Contribute to data quality assurance, code reviews, and best practices for scalable, maintainable analytics solutions

Essential Requirements:

• A degree in Data Science, Computer Science, Mathematics, Engineering, or a related discipline
• Strong knowledge of Python and experience working with version control tools such as Git/GitHub
• Solid foundation in statistics, linear algebra, and calculus
• Understanding of software engineering principles, clean code, and testing best practices
• Ability to communicate clearly and work collaboratively with cross-functional teams

Desirable Skills (Nice to Have):

• Proficiency in SQL and familiarity with a major cloud platform (AWS, GCP, or Azure)
• Experience working with wearable sensor data or time-series data
• Personal or academic projects that combine sport and data