Why Join Us?
If you want to work in data, wouldn’t you want to work where the scale of data is off the scale? Somewhere that will support you to achieve all you want from a career? That’s exactly what we offer.
We’re diverse in attitude, skills, and thinking, but we all value innovation and learning. It takes energy and resilience to innovate, but you won’t do it alone. We love collaboration, and everyone is here to help you learn.
Lloyds Banking Group is a place where everyone can be themselves. We value the perspective and experience that a diverse and inclusive team can bring to our business, and everyone’s ideas are heard.
What you’ll learn
Start with a bootcamp to quickly get you up to speed with our Group and how Data Science and Analytics will play a vital for our future, then over the two years you’ll rotate through three eight-month placements within teams across the Group. You’ll experience agile ways of working, play to your strengths, and grow beyond them with training and networking that’s tailored to your needs and interests.
You’ll be matched up with a buddy or mentor to support you and offer guidance throughout the scheme, and you’ll have access to technical and business-aligned training, including platforms such as Viva Learning and other Learning Management Systems, to further help your development.
With opportunities for extracurricular activities to expand your skills and experience across the bank and with introductions to colleague networks, you’ll make great connections to further your career.
We’ll develop your expertise in one of the areas outlined below, helping you become a data professional, ready to impact change. Build the career you want.
Data Science
- Design and build machine learning algorithms and cutting-edge AI solutions. Combine coding, stats, and business savvy to change the way we do things.
Data Engineering
- Use top-tier tech to build data pipelines. Learn and control Cloud environments and lay the groundwork for great analytics and data science.
Data Analytics and Visualisation
- Uncover patterns and extract insights. Present valuable information with compelling data visualisations and enterprise BI tools.
The Work You Could Be Doing
- Using advanced statistical or machine learning techniques to tackle problems like fraud detection, credit risk modelling, customer segmentation, or language modelling.
- Building pipelines and processes to transform data for analytics and data science.
- Developing innovative self-service analytics solutions for quick decision making.
Requirements
What you need to apply
- A 2:2 degree or above in any subject area from any university.
- Students with a PhD or Masters degree are also welcome. Note: we cannot sponsor visas.
- Knowledge of analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques would be beneficial.
Locations
This programme operates in various UK regional locations including Edinburgh, Northwest (Manchester/Chester/Cheadle), Southwest (Bristol/Cardiff) and West Yorkshire (Leeds/Halifax) regions. You’ll select one of these regional locations and will be based in various offices for the duration of your programme. We support hybrid working, with all colleagues expected to spend a minimum of two days each week in the office you have been placed.
Closing Date
The closing date for applications is Sunday 10 November 2024. Apply soon as our programmes may close early if we receive a high number of applications.
How to Apply
Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture.
Find details, including stages and tips for success, on our how to apply page.
