EndDate
Sunday 10 November 2024SalaryRange£45,000Before you start yourapplication, please note alternative formats are available onrequest. Please contact us by emailingor calling on . If emailing, please tell us how youwould like us to respond - we can email back or call you to discussany requirements or concerns you might have. We will get back toyou as soon as we can but during busy times, it might take up to 5working days (Don't worry, this won't affect your progress in theapplication process)Job DescriptionSummaryPrior to submitting your application,please visit our early careers website to find out more about theschemes we offer and the recruitment journey:www.lloydsbankinggrouptalent.com.
Our graduateschemes may close early if we receive a high number ofapplications, so it’s best to apply as soon as youcan.
If you have any questions, please docontact the team
JobDescription
Data Science andAnalytics Graduate Scheme
Imagineapplying your exceptional data skills to explore data science,engineering, analytics and visualisation, to better serve ourcustomers, and Help BritainProsper.
Helpus innovate with data
Every timea customer uses one of our apps, buys something, or looks at one ofour products online, they generate data. Making great use of thatdata helps us grow, prepare for the future, and improve lives.That’s where our Data Science and Analytics teams come in.
Working with some ofthe UK's largest datasets, covering millions of customers andtransactions, they use machine learning, AI, and advanced analyticsto create cutting-edge solutions. This provides countlessopportunities to improve things for our 22 million digitally activecustomers.
Right now,we’re looking for graduates to join these talented, collaborativeteams. If you're obsessed with data and its possibilities, this isyourmoment.
WhyJoin Us?
If you want to work indata, wouldn’t you want to work where the scale of data is off thescale? Somewhere that will support you to achieve all you want froma career? That’s exactly what weoffer.
We’rediverse in attitude, skills, and thinking, but we all valueinnovation and learning. It takes energy and resilience toinnovate, but you won’t do it alone. We love collaboration, andeveryone is here to help you learn.
Lloyds Banking Group isa place where everyone can be themselves. We value the perspectiveand experience that a diverse and inclusive team can bring to ourbusiness, and everyone’s ideas are heard.
What you’lllearn
Start with a bootcamp toquickly get you up to speed with our Group and how Data Science andAnalytics will play a vital for our future, then over the two yearsyou’ll rotate through three eight-month placements within teamsacross the Group. You’ll experience agile ways of working, play toyour strengths, and grow beyond them with training and networkingthat’s tailored to your needs andinterests.
You’ll bematched up with a buddy or mentor to support you and offer guidancethroughout the scheme, and you’ll have access to technical andbusiness-aligned training, including platforms such as VivaLearning and other Learning Management Systems, to further helpyour development.
Withopportunities for extracurricular activities to expand your skillsand experience across the bank and with introductions to colleaguenetworks, you’ll make great connections to further your career.
We’ll developyour expertise in one of the areas outlined below, helping youbecome a data professional, ready to impact change. Build thecareer youwant.
DataScience
Design and build machinelearning algorithms and cutting-edge AI solutions. Combine coding,stats, and business savvy to change the way we dothings.
DataEngineering
Use top-tier tech tobuild data pipelines. Learn and control Cloud environments and laythe groundwork for great analytics and datascience.
DataAnalytics andVisualisation
Uncover patternsand extract insights. Present valuable information with compellingdata visualisations and enterprise BItools.
The WorkYou Could Be Doing
Using advancedstatistical or machine learning techniques to tackle problems likefraud detection, credit risk modelling, customer segmentation, orlanguagemodelling.
Buildingpipelines and processes to transform data for analytics and datascience.
Developinginnovative self-service analytics solutions for quick decisionmaking.
Isthis foryou?
Requirements
A2:2 degree or above in any subject area from anyuniversity.
Studentswith a PhD or Masters degree are alsowelcome.
Knowledge ofanalytical techniques and experience in manipulating and derivinginsight from data. Python coding experience, knowledge of SQL andthe ability to use statistical modelling techniques would bebeneficial.
Legalright to work in the UK, we are unable to offer sponsorship forthis programme.
Locations
Thisprogramme operates in various UK regional locations includingLondon, Edinburgh, Northwest (Manchester/Chester/Cheadle),Southwest (Bristol/Cardiff) and West Yorkshire (Leeds/Halifax)regions. You’ll select one of these regional locations and will bebased in various offices for the duration of your programme. Wesupport hybrid working, with all colleagues expected to spend aminimum of two days each week in the office you have beenplaced.
At Lloyds Banking Group, we'redriven by a clear purpose; to help Britainprosper.Across the Group, our colleagues are focused on making a differenceto customers, businesses and communities. With us you'll have a keyrole to play in shaping the financial services of the future,whilst the scale and reach of our Group means you'll have manyopportunities to learn, grow and develop.We keep your data safe. So,we'll only ever ask you to provide confidential or sensitiveinformation once you have formally been invited along to aninterview or accepted a verbal offer to join us which is when werun our background checks. We'll always explain what we needand why, with any request coming from a trusted Lloyds BankingGroup person. We're focused on creating avalues-led culture and are committed to building a workforce whichreflects the diversity of the customers and communities we serve.Together we’re building a truly inclusive workplace where all ofour colleagues have the opportunity to make a realdifference.
