Data Science Apprentice

Summary

As one of our Data Science Apprentice’s, we’ll help make sure you get the most out of your time with us by embedding you in some of our key projects for some hands-on learning as you embark on your training on a four-year Data Science apprenticeship at the University of Nottingham.

Wage

Competitive

Competitive wage offered

Check minimum wage rates (opens in new tab)

Training course

Data scientist (integrated degree) (level 6)

Hours

Monday to Friday, 9:00 AM – 5:00 PM, One Day per week on Study Leave.

40 hours a week

Start date

Monday 1 September 2025

Duration

4 years

Positions available

1

Work

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.

What you’ll do at work

Spend time with our data scientists, learning from them and helping to build our current analytical tools.
Contribute to our data strategy.
Learn about what Datagum does and contribute to our future growth.

Where you’ll work

Yorke House
Castle Meadow Road
Nottingham
NG2 1AB

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

College or training organisation

UNIVERSITY OF NOTTINGHAM, THE

Your training course

Data scientist (integrated degree) (level 6)

Equal to degree

Course contents

Identify and clarify problems an organisation faces, and reformulate them into Data Science problems. Devise solutions and make decisions in context by seeking feedback from stakeholders. Apply scientific methods through experiment design, measurement, hypothesis testing and delivery of results. Collaborate with colleagues to gather requirements.
Perform data engineering: create and handle datasets for analysis. Use tools and techniques to source, access, explore, profile, pipeline, combine, transform and store data, and apply governance (quality control, security, privacy) to data.
Identify and use an appropriate range of programming languages and tools for data manipulation, analysis, visualisation, and system integration. Select appropriate data structures and algorithms for the problem. Develop reproducible analysis and robust code, working in accordance with software development standards, including security, accessibility, code quality and version control.
Use analysis and models to inform and improve organisational outcomes, building models and validating results with statistical testing: perform statistical analysis, correlation vs causation, feature selection and engineering, machine learning, optimisation, and simulations, using the appropriate techniques for the problem.
Implement data solutions, using relevant software engineering architectures and design patterns. Evaluate Cloud vs. on-premise deployment. Determine the implicit and explicit value of data. Assess value for money and Return on Investment. Scale a system up/out. Evaluate emerging trends and new approaches. Compare the pros and cons of software applications and techniques.
Find, present, communicate and disseminate outputs effectively and with high impact through creative storytelling, tailoring the message for the audience. Use the best medium for each audience, such as technical writing, reporting and dashboards. Visualise data to tell compelling and actionable narratives. Make recommendations to decision makers to contribute towards the achievement of organisation goals.
Develop and maintain collaborative relationships at strategic and operational levels, using methods of organisational empathy (human, organisation and technical) and build relationships through active listening and trust development.
Use project delivery techniques and tools appropriate to their Data Science project and organisation. Plan, organise and manage resources to successfully run a small Data Science project, achieve organisational goals and enable effective change.

Your training plan

Data scientist (integrated degree) Apprenticeship Standard

Requirements

Essential qualifications

GCSE in:

English language (grade Level 2 (equivalent 4-9))
Maths (grade Level 5)

Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.

Skills

Communication skills
IT skills
Organisation skills
Analytical skills
Logical
Team working

About this company

Datagum is a rapidly growing start-up in the IT Market Data sector. We are an international based Consultancy and Software company, with our office headquarters in Nottingham and staff also in London and Adelaide (Australia).

https://www.datagum.com/ (opens in new tab)

After this apprenticeship

Data Science is an exciting and expanding field and we will take the time to ensure that you learn and start growing your career with us. Many of our expert colleagues have a diverse range of experience and so there is plenty of opportunity for you to learn from the very best.

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