Data Science Degree Apprenticeship Level 6

Government Statistical Service
Coventry
2 weeks ago
Create job alert

Data Science Degree Apprenticeship Level 6

Location: Birmingham, Bristol, Cambridge, Cardiff, Coventry, Croydon, Darlington, Fareham, Leeds, Liverpool, London, Manchester, Newcastle-upon-Tyne, Newport (Gwent), Nottingham, Salford, Sheffield, York

Salary: £24,283 per annum

Closing Date:Apply before Midday on Thursday 6th March 2025

Job Summary

  • Are you interested in data analytics and the tools and skills that aid problem solving?
  • Would you like the opportunity to earn whilst you learn?

If you are looking for a career change with a pathway into the Civil Service, or a recent school leaver unsure whether to choose between continuing your study or work, then this could just be the role for you.

Apprenticeships provide an exciting opportunity to be in employment with the added bonus of being able to 'earn as you learn.' Once you have completed your apprenticeship you will be equipped with all the relevant knowledge to progress within your chosen career path.

The use and management of data is becoming ever more important in a modern economy. Data science plays a key role in driving competitiveness and better public services, improving the lives of us as citizens. In order to realise the potential new data sources hold, we need to be alive to opportunities as they arise and ensure people have the right skills to unleash innovation through data science across the public sector.

This really is an exciting opportunity to come and work at the heart of Data Science and join like-minded experienced teams of Data Scientists across Government.

As a Data Science Apprentice, you will have a passion for maths and data science and be enthusiastic about the real day-to-day challenges presented from a broad span of projects for government.

What is included in the apprenticeship?

In England, the course will be delivered by the University of Nottingham and will follow a hybrid model that includes a requirement for some attendance at the university. The programme will be 42 months, with the last six months being dedicated to the End Point Assessment.

In Wales, the course will be delivered by Cardiff Metropolitan and is taught in person. The programme will be 36 months.

Qualifications

To apply for this apprenticeship, you will need to have, or hope to obtain by September 2025, the following:

  • GCSE Mathematics at minimum Grade 5 or equivalent, GCSE English Language at minimum Grade 4 or equivalent
  • 3 A-Levels at BBC or above, to include C or above in Mathematics. The following A Levels are not accepted: Citizenship Skills, General Studies, and Critical Thinking.

Or;

  • Level 4 apprenticeship (Merit or Distinction) in a similar subject (i.e. Level 4 Data Analytics)

Any “Data Science” or “Computer Science” qualification achieved at degree level or higher will make you ineligible for this apprenticeship.

Qualifications with modules of data analysis or data science or computer science up to a level 4 will also need to be checked to ensure you are eligible for funding.

  • You must not already have a qualification of the same type, content, and level.
  • You must not be undertaking another apprenticeship at the same time.
  • You must not hold a qualification which makes you eligible to join the Government Statistician Group (GSG) or Government Operational Research Service (GORS) graduate routes (A first or second class honours degree in a numerate subject containing taught statistical content; or a higher degree, e.g. an MSc or PhD, in a subject containing formal statistical training).

Application and Online Test:

Step 1– Short application followed byCV and Personal Statement

The application consists of two parts, firstly the short form followed by the full application covering your CV, Personal Statement, and Eligibility.

Your CV should cover details of qualifications and employment history and any relevant skills and experience.

Employment history is not a requirement of this role; we welcome applications from both those with and without employment history.

Submit apersonal statement of 1000 wordsbased on the questions outlined below.

In your Personal Statement, we are looking for evidence of:

  1. What interests you about the apprenticeship?
  2. Given the length of this apprenticeship, how will you ensure that you are motivated to keep track of your performance in order to complete the programme?
  3. There are times when we receive feedback from others that we don’t want to hear. How would you ensure you acted on that feedback while maintaining a good relationship with that person?
  4. What has been your biggest challenge to date and how did you overcome this?

As the criteria are scored, we would recommend that you give clear examples.

Apply before Midday on Thursday 6th March 2025

#J-18808-Ljbffr

Related Jobs

View all jobs

Economist

Data Analyst Business Coach

Technical Data Analyst

Research and Insight Executive

ILR Funding Manager

Asset Management Controller

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Navigating Data Science Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Data science has taken centre stage in the modern workplace. Organisations rely on data-driven insights to shape everything from product innovation and customer experience to operational efficiency and strategic planning. As a result, there is a growing need for skilled data scientists who can analyse large volumes of data, build predictive models, communicate findings effectively, and collaborate cross-functionally. If you are looking to accelerate your data science career—or even land your first role—attending data science career fairs can be a game-changer. Unlike traditional online applications, face-to-face interactions let you showcase your personality, passion, and communication skills in addition to your technical expertise. However, to stand out in a busy environment, you need a clear strategy: from polishing your personal pitch and asking thoughtful questions to following up with a memorable message. In this article, we’ll guide you through every step of making a strong impression at data science career fairs in the UK and beyond.

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.

Career Paths in Data Science: From Entry-Level Analysis to Leadership and Beyond

Data is the lifeblood of modern business, and Data Scientists are the experts who turn raw information into strategic insights. From building recommendation engines to predicting market trends, the impact of data science extends across virtually every industry—finance, healthcare, retail, manufacturing, and beyond. In the UK, data-driven decision-making is critical to remaining competitive in a global market, making data science one of the most sought-after career paths. But how does one launch a career in data science, and how can professionals progress from entry-level analysts to senior leadership roles? In this comprehensive guide, we’ll explore the typical career trajectory, from junior data scientist to chief data officer, discussing the key skills, qualifications, and strategic moves you need to succeed. Whether you’re a recent graduate, transitioning from another technical field, or an experienced data scientist aiming for management, you’ll find actionable insights on forging a successful career in the UK data science sector.