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Data Scientist - Applied Sciences
Premium Job From Lloyds Banking Group
Recruiter: Lloyds Banking Group
Listed on: 26th June
Location: London
Salary/Rate: £63000 - £73600
Type: Permanent
Start Date: ASAP
Reference: 016452_1561559794
Contact Name: Lloyds Banking Group

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Lloyds Banking Group is the UK's leading digital bank and biggest mobile bank with nearly 14 million active online customers across our three main brands. We believe in supporting colleagues to achieve their potential - delivering the best outcomes for customers and society. And our scale enables us to offer genuine opportunities to have a fulfilling career - whatever your ambitions. We're investing £3bn on our future - across platforms, people and data capabilities to truly become the best bank for customers, with unparalleled growth into areas such as AI, Data Science and Robotics. So why join our Applied Sciences Team?

You'll play a pivotal role in realising our digital and data potential and creating the Bank of the Future.
You'll help rapidly transform our capabilities and be a key player in the our further digitisation using latest emerging technologies and services.

And in joining as a Data Scientist in the Applied Science team you'll find yourself:

Working with a fascinating group of pathfinders and trailblazers at the hub of this ground-breaking agenda.
Developing advanced models alongside our Data Engineers (who build the data pipelines and ensure quality) either as a Model Developer (building the next generation of Machine Learning models) or a Machine Learning Engineer (who develop robust, enterprise-scale code).
Delivering models across the full reach of LBG - from predicting fraudulent transactions to identifying which of our customers may fall into financial difficulty and need a helping hand.

Your models will have a material impact on the lives of up to 30m+ customers across the whole of the UK - and together we'll make it possible ... Are you who we're looking for? We're keen to speak to established industry-experienced Data Scientists - ideally with an appreciation for Machine Learning - with skills including:

A strong theoretical and applied knowledge of Statistical Modelling and/or Machine Learning techniques such as Linear Regression, Logistic Regression, Random Forests, Neural Networks, Bayesian Networks, Clustering, NLP and Time Series Forecasting.
Experience of implementing and supporting Machine Learning models including automating model retraining and model monitoring.
Expert-level Python skills, good SQL and ideally version control, unit testing and standard software development methodologies.
A pragmatic, "keep it simple" attitude to your work and designs.
A strong communication "toolkit" enables you to communicate to technical/non-technical audiences.

Any wider skills you have with pandas, NumPy, Scikit-learn, MLLib, Keras etc. would also be really useful... And how will we challenge you?

You'll have the opportunity to partner across our various businesses to understand and work their complex problems through to solutions.
You'd also work hand-in-glove with Cognitive and Software Engineering colleagues to deliver your models to a number of high profile projects.
And you'll get exposure to a host of wider technologies and career moves by broadening your horizons and giving you opportunities to stretch yourself.

What you'd get in return: Offering you both funding and profile - we'll provide you with a diverse, energising and informal environment that focuses on equal opportunity and real career progression. We'll take your personal and professional development very seriously and enable you to make a difference to millions throughout your career with us. We'll also give you a broad remuneration package which includes:

A car allowance
A performance share bonus of c15%
A generous pension contribution
A flex cash pot you can adjust to suit your lifestyle
Private health cover
30 days holiday plus bank holidays
Various share schemes including free shares

We're a founder member of the Agile Future Forum, a group of leading UK employers supporting flexible working. We're happy to consider options other than 9-to-5 office-based work. To us "Agile working" is more than working flexibly - it's about entrusting colleagues to think creatively about how, when and where they work, to deliver their very best. So if your Data Science expertise lies within Python and model development or Machine Learning and joining a growing, state-of-the-art team within a leading FinTech appeals then get in touch, we'd like to hear from you...