Python Job: Data Scientist

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Job Skills

Company

Lloyds Banking Group

Location

London, England - United Kingdom

Job type

Full-Time

Python Job Details

End Date
Thursday 28 July 2022
Salary Range
£39,654 - £51,480

Agile Working Options
Other Agile Working Arrangements / Open to Discussion
Job Description Summary
Data Scientist - London
Job Description
Data Scientist - London
Salary & Benefits: £41592 - £54590 per annum (depending on experience), plus annual personal bonus, 15% employer pension contribution (when you put in 6%), 4% flexible cash pot, private medical insurance, 30 days holiday plus bank holidays.
Our Mission
We're on a journey to build the bank of the future, and we need your help! We’re continuing our extensive transformation Programme, recreating what a bank is from the inside out. Become part of our diverse team, and you'll experience a rare opportunity to impact the lives of more than 26 million customers through brands including Lloyds Bank, Halifax, Bank of Scotland and Scottish Widows. We need people who can make this transformation a reality.
Join our Fraud Lab in a key Data Science role you’ll see how a leading FinTech fights fraud whilst ensuring continuity of the service our customers expect. You're going after the fraudsters, the social engineering con-artists and money mules. In turn this helps to protect customers and wider society from the harm caused by fraud and scams.
Where would your focus be?
You'd be using your skills in Python to update and maintain our machine learning libraries underpinning our fraud controls. You'll work with new technologies (Spark, Hadoop, Pyspark), toolsets and techniques to embed the latest solutions into our products. Your skills will in time be utilised within wider Economic Crime areas with exposure to even wider technologies and learning.
Ultimately you'll get to identify innovative solutions within machine learning and use statistical analysis to detect and prevent fraud against our customers and the bank.
It's a fantastic environment for a Data Scientist because:
  • There's an abundance of meaningful, complex data for you to get stuck into.
  • You also have very well-defined success metrics (e.g. detection rate, alert rate).
  • Your input will help our fraud detection become ever more sophisticated through improved accuracy i.e. less interruption of genuine customer transactions.
We'll be specifically looking for these skills on your CV:
  • Appropriate educational background in a numerical or computing-based subject, or significant relevant experience.
  • Practical experience of using Python in real world business applications.
  • Understanding and practically applying Machine Learning techniques within a commercial/industrial context.
  • Exhibit a flair for statistical analysis and innovation in its use and application.
  • Subject Matter Expert in Fraud Data, Fraud Detection Systems and Fraud Modus Operandi (MO’s)
Wider skills you might possess in any of the following technologies would be useful, but aren't as critical as your proficiency in Python:
  • Distributed computing frameworks
  • Previous experience using machine learning to tackle fraud detection problems
  • Contributions to open source projects
Sound like you? Apply today, we’d love to hear from you...apply today!
Our continued commitment to helping Britain prosper means that as a colleague you can make a difference to customers, businesses and communities.
Together we have a key role to play in shaping the bank of the future, whilst the scale and reach of our Group means you'll continue to have opportunities to learn, grow and develop.
We’re passionately committed to equal opportunity. We ensure our people represent the communities we serve and have won numerous awards to back up this commitment.
At Lloyds Banking Group, we're driven by a clear purpose; to help Britain recover. 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'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.
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