Description
JOB TITLE:Senior Data Science Analyst
LOCATION(S):London or Leeds
HOURS:Full time
WORKING PATTERN:Our work style is hybrid, which involves spending at least
two days per week, or 40% of our time, at one of our office sites.
About this opportunity
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 Economic Crime Intelligence 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.
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. Your input will help our fraud detection become ever more sophisticated through improved accuracy i.e. less interruption of genuine customer transactions. You’ll also have very well-defined success metrics (e.g. detection rate, alert rate) and an abundance of meaningful, complex data for you to get stuck into.
Why Lloyds Banking Group
We’re on an exciting journey to transform our Group and the way we’re shaping finance for good. We’re focusing on the future, investing in our technologies, workplaces, and colleagues to make our Group a great place for everyone. Including you.
What you’ll need
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.
And any experience of these would be really useful
Subject Matter Expert in Fraud Data, Fraud Detection Systems and Fraud Modus Operandi (MO’s) Distributed computing frameworks Previous experience using machine learning to tackle fraud detection problems Contributions to open source projects
About working for us
Our focus is to ensure we’re inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms.
We’re committed to creating a consciously inclusive workplace where our colleagues can be themselves, thrive and perform at their best. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative.
As an inclusive employer, we offer Workplace Adjustments for colleagues with a disability (which may include long-term health and neurodivergent conditions) where it is reasonable to do so. This could include flexibility with regards to office attendance, location, and working pattern.
We are proud to be a Disability Confident Leader. If you have a disability, you can also apply via our Disability Confident Scheme (DCS). Through the DCS, we guarantee to interview a fair and proportionate number of applicants with a disability, whose application meets the minimum criteria for the advertised job role.
We also provide adjustments that are reasonable throughout the recruitment process to reduce or remove barriers for applicants with a disability, long-term health condition or neurodivergent condition. If you’d like an adjustment to the recruitment process just let us know.
We also offer a wide-ranging benefits package, which includes:
• A generous pension contribution of up to 15%
• An annual performance-related bonus
• Share schemes including free shares
• Benefits you can adapt to your lifestyle, such as discounted shopping
• 28 days’ holiday, with bank holidays on top
• A range of wellbeing initiatives and generous parental leave policies
Want to do amazing work, that’s interesting and makes a difference to millions of people?Join our journey.
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.
