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 of machine learning fundamentals and the ability to create 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
Disclosure and Barring Service Check
This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.
Applications from job seekers who require current Skilled worker sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas and Immigration website (Opens in a new tab).
From 6 April 2017, skilled worker applicants, applying for entry clearance into the UK, have had to present a criminal record certificate from each country they have resided continuously or cumulatively for 12 months or more in the past 10 years. Adult dependants (over 18 years old) are also subject to this requirement. Guidance can be found here Criminal records checks for overseas applicants (Opens in a new tab).
Closing Date: 11 June 2026
