Data Science Apprentice – Level 6: Flexible Hours & Real‑World ML

UKRI; England; On-site; GBP 25,000; Full time

Job summary

A leading research organization in the UK seeks a Data Science Level 6 Apprentice to work with the Hartree Centre on data analytics and machine learning projects. Candidates will gain practical experience and formal training while collaborating with industry partners. Essential qualifications include GCSEs in Maths and English, A levels with a minimum grade in Maths, and a strong interest in Data Science. The apprenticeship offers career development and support to help you thrive.

Benefits

Annual salary increase

Flexible working hours

Defined average salary pension scheme

Public transport links / free parking

Learning and development opportunities

Cycle to work scheme

Qualifications

• GCSEs in Maths (Grade 5 or above) and English (Grade 4/C or above).
• BBB-BBC at A level with at least C in Maths or Level 4 Data Analyst Apprenticeship at Distinction or Merit.
• Programming experience with at least one language, e.g. Python.

Responsibilities

• Work on building solutions to customers’ data science challenges.
• Collaborate with technical teams on data analysis and machine learning.
• Interact with commercial and academic partners, validating conclusions.

Skills

Data Science Context

Analytical Techniques

Programming experience

Strong attention to detail

Education

GCSEs in Maths and English

A levels BBB-BBC with at least C in Maths

Level 4 Data Analyst Apprenticeship

Tools

Python

Job description

A leading research organization in the UK seeks a Data Science Level 6 Apprentice to work with the Hartree Centre on data analytics and machine learning projects. Candidates will gain practical experience and formal training while collaborating with industry partners. Essential qualifications include GCSEs in Maths and English, A levels with a minimum grade in Maths, and a strong interest in Data Science. The apprenticeship offers career development and support to help you thrive.