Data Science Apprentice - Level 6 (Hybrid) + Degree

Thales Group; Crawley Down; Hybrid; GBP 22,000 - 26,000; Full time

Benefits offered by this job

Hybrid/flexible working

Pension

Private medical insurance

Employee discounts

Health Care Cash Plan

Learning and development support

Volunteer hours

Annual bonus

Job summary

Thales Group in the United Kingdom is seeking a Data Scientist Apprentice to develop data-driven solutions. You will work with datasets, learn to build predictive models, and generate insights to support business decisions, alongside experienced data professionals.

The programme covers data science concepts, Python/SQL programming, analytics, and governance, with a focus on responsible AI and stakeholder engagement, all within a hybrid working setup.

Qualifications

• 3 A levels (BBC) including Maths
• Minimum of five GCSEs at Grade 4/C or above (Maths at Grade 5/C or above) including English Language
• Level 4 Data Analyst qualification can be considered on case-by-case basis

Responsibilities

• Identify business challenges and use data science techniques to propose solutions.
• Collect, prepare, cleanse, and analyse data from multiple sources.
• Support development and testing of predictive models and analytical solutions.
• Collaborate with data teams to create dashboards and data products used across the business.
• Evaluate model performance and contribute to continuous improvement of analytics.

Skills

Data Science

Analytics

Machine Learning

Statistics

Data Engineering

Data Visualization

Python

SQL

Education

A levels (BBC)

GCSE Maths & English

Level 4 Data Analyst qualification

Tools

Python

SQL

Job description

Thales Group in the United Kingdom is seeking a Data Scientist Apprentice to develop data-driven solutions. You will work with datasets, learn to build predictive models, and generate insights to support business decisions, alongside experienced data professionals.

The programme covers data science concepts, Python/SQL programming, analytics, and governance, with a focus on responsible AI and stakeholder engagement, all within a hybrid working setup.