End Date
Sunday 01 December 2024
Salary Range
£45,000
Before you start your application, please note alternative formats are available on request. Please contact us by emailing (email address removed) or calling on (phone number removed). If emailing, please tell us how you would like us to respond - we can email back or call you to discuss any requirements or concerns you might have. We will get back to you as soon as we can but during busy times, it might take up to 5 working days (Don't worry, this won't affect your progress in the application process)
Job Description Summary
Prior to submitting your application, please visit our early careers website to find out more about the schemes we offer and the recruitment journey: (url removed).
Our graduate schemes may close early if we receive a high number of applications, so it’s best to apply as soon as you can.
If you have any questions, please do contact the team at (email address removed)
Job Description
Data Science and Analytics Graduate Scheme
Imagine applying your exceptional data skills to explore data science, engineering, analytics and visualisation, to better serve our customers, and Help Britain Prosper.
Help us innovate with data
Every time a customer uses one of our apps, buys something, or looks at one of our products online, they generate data. Making great use of that data helps us grow, prepare for the future, and improve lives. That’s where our Data Science and Analytics teams come in.
Working with some of the UK's largest datasets, covering millions of customers and transactions, they use machine learning, AI, and advanced analytics to create cutting-edge solutions. This provides countless opportunities to improve things for our 22 million digitally active customers.
Right now, we’re looking for graduates to join these talented, collaborative teams. If you're obsessed with data and its possibilities, this is your moment.
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.
Is this for you?
Requirements
A 2:2 degree or above in any subject area from any university.
Students with a PhD or Masters degree are also welcome.
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.
Legal right to work in the UK, we are unable to offer sponsorship for this programme.
Locations
This scheme operates in various UK locations including Edinburgh, North West, South West, West Yorkshire and London. You’ll select one of these locations and be based there throughout your programme. We support hybrid working with at least two days a week in the office.
At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.
We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person.
We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference
