Graduate Data Scientist

Net Talent; City of Edinburgh; Hybrid; GBP 25,000 - 35,000; Full time

Job summary

An innovative company seeks a Graduate Data Scientist to join their team in Edinburgh. This role involves developing machine learning models, collaborating with R&D teams, and contributing to innovative product features. Ideal candidates have a degree in a related field and strong Python skills, along with a solid foundation in statistics and engineering principles.

Qualifications

• 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.

Responsibilities

• Develop and refine machine learning models to support product innovation and performance analysis.
• Collaborate with 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.

Skills

Python

Statistics

Linear Algebra

Calculus

Version Control (Git)

Communication

Education

Degree in Data Science, Computer Science, Mathematics, Engineering or related discipline

Job description

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