Job Title: Junior Data Scientist
Agency: Royal Surrey NHS Foundation Trust
Location: Guildford, United Kingdom
Salary/Rate: 33,677 to 40,996 £ / Year

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Job summary

We are seeking to appoint a motivated, curious and technically capable Junior Data Scientist to join our expanding Data Science team.

This is an exciting opportunity for an early-career professional to play a key role in developing data science solutions that support innovation and improve organisational outcomes. Working alongside experienced data scientists and engineers, you will contribute to building models and data products that drive insight and automation across the organisation.

You should have a strong foundation in programming (Python or R), with experience using data science libraries such as pandas, scikit-learn or similar. A good understanding of statistical methods and machine learning concepts is essential. Experience working with SQL and handling data in cloud or distributed environments would be advantageous, as would familiarity with tools such as Git, Docker or ML frameworks.

The post requires the successful candidate to be inquisitive, methodical and eager to develop their technical expertise. You should be comfortable working with ambiguity, able to experiment and iterate, and capable of communicating technical concepts clearly to a range of stakeholders. Flexibility, problem-solving ability and a passion for data science are key to success in this role.

Main duties of the job

The successful candidate will support the development, testing and deployment of machine learning models, working with large and complex datasets from a variety of sources. You will be involved in data exploration, feature engineering and model evaluation, helping to translate data into actionable intelligence. The role will also contribute to the creation of reproducible workflows and scalable data pipelines.

Person Specification

Qualifications

Essential

• Degree-level education or equivalent work experience

Knowledge

Essential

• Experience working with structured datasets, including cleaning, transforming, and validating data for analysis.
• Knowledge of core statistical concepts and their application to real-world analytical problems.
• Advanced use of analytical or data science tools such as Python, R, SQL, or similar technologies
• Understanding of data visualisation principles and experience producing clear charts, dashboards, or reports.
• Experience with machine learning fundamentals and the ability to build your own models.
• Experience working with large or complex datasets from multiple sources, ideally within a healthcare or public sector environment.
• Knowledge of data quality issues and methods for identifying, investigating, and resolving inconsistencies.

Desirable

• Experience of analysing data in a Secondary Care context

Closing Date: 11 October 2026

How to Apply;

Interested and qualified candidates should:
Click here to apply online for this job

Disclaimer

Author: Simon RobertEasyInfoBlog is a multi-author blog. We have experts and professionals in various fields who share their ideas and expert knowledge to help you with your daily information needs. Thanks for reading!