|Recruiter:||Lloyds Banking Group|
|Listed on:||28th November|
|Salary/Rate:||£45,000 - £50,470|
|Contact Name:||Lloyds Banking Group|
You might not know that Lloyds Banking Group is the UK's leading digital bank and its biggest mobile bank - with a market-topping app and nearly 14 million active online customers.
We're embarking on a three year, £3bn, transformation programme - putting unprecedented levels of investment into our platforms, people and data capabilities to build the bank of the future.
And with over 30m customers we're looking to harness the data we hold to ensure we become the best Bank for customers through our products and Services...and also help us fight crime.
Could you help us make it possible?...
Joining our Fraud & Auth Lab as a Data Scientist and you'll see how a leading FinTech fights sophisticated fraud strategies whilst ensuring continuity of the service our Digital channel customers expect.
You're going after the bad guys: the hackers, the social engineering con-artists and money mules..
And here's how:
It's a phenomenal environment for interesting machine learning because:
Your input will help our fraud detection systems to become ever more sophisticated through improved accuracy i.e. less intervening with sincere customer transactions.
Can you see why 'the job' excites our Data Scientists and keeps their interest? and at the same time you're learning, developing and growing as you glean knowledge and wider expertise from your colleagues and industry wizards.
The team want to know more about you if you're:
And wider skills you possess in any of these technologies would be useful, but aren't as critical as your proficiency in Python:
What would you get in return?
In an opportunity offering you both funding and profile - you'll benefit from a diverse, energising and informal environment that focuses on real career progression opportunities as we rapidly expand our applied sciences capabilities in data, cognitive and AI.
You'll also find we're also big on equal opportunity, ensuring our people represent the communities we serve and winning numerous awards to back up this dedication.
You'll also receive a broad remuneration package which includes:
So if your Data Science expertise centres around Python and joining our growing, state of the art team to fight crime appeals then get in touch, we'd love to hear from you...