Data Analytics Degree Apprenticeship (SPEN South) - Prenton

Data Analytics Degree Apprenticeship (SPEN South) - Prenton

Where you’ll be working

Within SP Energy Networks, we are focusing on harnessing technology and innovation to create the networks of the future. With distribution networks designed for predictable, stable demand, it’s vital we upgrade our network to create the flexibility required to cope with the extensive changes to electricity demand, generation and consumer behaviour. Through technology and innovation, we will enable a consumer-led revolution in the use and operation of our system. It will undergo the biggest changes to its design and operation for over half a century and you can be part of it.

You’ll find more information about SP Energy Networks, including details of our current projects, on our website.

What you’ll be doing

Our new data, digital and communications ecosystem will generate vast increases in the volume and frequency of data collected from across our networks and assets. These systems provide data that enable us to be more proactive in how we manage our electricity networks to enable the UK's transition to Net Zero.

As a Data Analytics apprentice, you’ll work hands-on with real-world data - from energy flow, usage, and voltage to information about our network equipment like cables, overhead lines, and switchgear. You’ll also explore business, financial, and process data that drives our operations.

Through this role, you’ll develop cutting-edge skills in data science, learning how to turn complex data into valuable insights that inform business decisions and future strategy. Along the way, you’ll gain:

• A solid understanding of energy networks
• Proficiency in a range of programming languages
• Experience applying multiple algorithm methodologies in a real industry setting

During your degree, you’ll do placements linked to your modules, providing you with the opportunity to see how your studies relate to real-life scenarios and giving you that additional dimension that you won’t get from a traditional undergraduate degree.

What’s in it for you

As part of our four-year programme, you will embark on an extraordinary journey of growth and development. Throughout the programme, you will delve into various crucial data areas such as data understanding, cataloguing, external data sharing and network management. This hands-on experience will grant you invaluable insights into SP Energy Networks, enabling you to develop a comprehensive understanding of the industry.

One of the primary focuses of the programme is to enhance your technical skills. This will not only give you a competitive advantage but also equip you with the knowledge and capabilities required to excel in your future career.

As a Data Analytics Apprentice, you’ll enjoy a range of benefits including:

• Starting salary of £25,950
• A generous pension scheme where we’ll double match your contributions up to 10%
• A broad range of flexible benefits including share incentive plans, employee discounts, charity-matched funding and many, many more.

What you’ll bring

Studying BSc (Hons) Data Science at Nottingham University. You'll have three A levels at a minimum of BBC including maths. We can also accept an HND, HNC or Modern Apprentice in a relevant discipline. We’re taking a hybrid approach to working with your time split between university, home and office.

For this programme, you’ll also need a driving licence (or be working towards it) as you’ll need to get to different sites both during and after your training period.

Why SP Energy Networks?

We’re powering the journey to Net Zero. As one of the UK’s key electricity network operators, we’re upgrading infrastructure, embracing innovation, and helping communities transition to clean energy.

You’ll be part of a company that values diversity, inclusion, and sustainability - and supports your growth every step of the way.

How to apply

To apply for this role and to find out more, please click on the apply button. Please note that applications may close before the application deadline, so apply early to avoid disappointment.