Data Science Degree Apprenticeship Level 6
Data Science Degree Apprenticeship Level 6

Data Science Degree Apprenticeship Level 6

Coventry Apprenticeship 20000 - 25000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join as a Data Science Apprentice, tackling real-world data challenges for government projects.
  • Company: Be part of a dynamic team driving innovation in the public sector through data science.
  • Benefits: Earn while you learn with a competitive salary and gain valuable skills for your future.
  • Why this job: This apprenticeship offers hands-on experience and a pathway to a rewarding career in data science.
  • Qualifications: GCSEs in Maths and English, plus 3 A-Levels at BBC or equivalent required.
  • Other info: Apply by March 6, 2025, and embark on a 36-42 month journey of growth and learning.

The predicted salary is between 20000 - 25000 £ per year.

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 by CV 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 a personal statement of 1000 words based 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

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Data Science Degree Apprenticeship Level 6 employer: Government Statistical Service

Join a dynamic and supportive environment where your passion for data science can flourish! Our Data Science Degree Apprenticeship offers not only a competitive salary but also the unique opportunity to earn while you learn, with access to experienced mentors and a clear pathway for career progression within the Civil Service. With locations across major cities like Birmingham, London, and Manchester, you'll be part of a collaborative culture that values innovation and personal growth, ensuring you are well-equipped to tackle real-world challenges in the public sector.
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Contact Detail:

Government Statistical Service Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Science Degree Apprenticeship Level 6

Tip Number 1

Familiarize yourself with data analytics tools and concepts. Since this apprenticeship focuses on data science, having a basic understanding of tools like Excel, Python, or R can give you an edge during the application process.

Tip Number 2

Engage with online communities or forums related to data science. Networking with professionals in the field can provide insights into the role and help you understand what skills are most valued.

Tip Number 3

Prepare for the online test by practicing sample questions related to data analysis and problem-solving. This will help you feel more confident and perform better during the assessment phase.

Tip Number 4

Reflect on your personal experiences and challenges, as these will be crucial for your personal statement. Think about specific examples that showcase your resilience and ability to learn from feedback.

We think you need these skills to ace Data Science Degree Apprenticeship Level 6

Mathematical Proficiency
Data Analysis
Problem-Solving Skills
Attention to Detail
Communication Skills
Team Collaboration
Adaptability
Time Management
Critical Thinking
Enthusiasm for Learning
Basic Programming Knowledge
Statistical Understanding
Research Skills
Ability to Accept Feedback

Some tips for your application 🫡

Understand the Role: Before you start your application, make sure you fully understand what the Data Science Degree Apprenticeship entails. Familiarize yourself with the skills and qualifications required, as well as the responsibilities of the role.

Craft Your Personal Statement: Your personal statement is crucial. Address the specific questions provided in the job description. Use clear examples to demonstrate your interest in the apprenticeship, how you plan to stay motivated, how you handle feedback, and discuss a significant challenge you've faced.

Tailor Your CV: Ensure your CV highlights relevant qualifications and any experience related to data science or analytics. Even if you lack formal employment history, include any projects, coursework, or skills that showcase your passion for data.

Proofread and Submit: Before submitting your application, proofread all documents for clarity and correctness. Make sure your CV and personal statement are free from errors and clearly convey your enthusiasm for the apprenticeship. Submit your application before the deadline!

How to prepare for a job interview at Government Statistical Service

Show Your Passion for Data Science

Make sure to express your enthusiasm for data analytics and problem-solving during the interview. Share specific examples of projects or experiences that sparked your interest in data science, as this will demonstrate your genuine passion for the field.

Prepare Your Personal Statement

Since the personal statement is a crucial part of your application, be ready to discuss it in detail. Highlight your motivations, how you plan to stay motivated throughout the apprenticeship, and any challenges you've faced. Use clear examples to illustrate your points.

Be Ready for Feedback Questions

Expect questions about how you handle feedback. Prepare to discuss a time when you received constructive criticism and how you acted on it while maintaining a positive relationship with the person who provided it. This shows your ability to grow and adapt.

Understand the Apprenticeship Structure

Familiarize yourself with the structure of the apprenticeship, including the hybrid model and the involvement of universities. Being knowledgeable about the program will show your commitment and help you ask insightful questions during the interview.

Data Science Degree Apprenticeship Level 6
Government Statistical Service
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