End Date
Friday 28 February 2025
Salary Range
£68,202 - £75,780
We support flexible working – click here for more information on flexible working options
Flexible Working Options
Hybrid Working, Job Share
Job Description Summary
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Job Description
JOB TITLE: Applied Scientist, ML Models, Fraud & Financial Crime – Economic Crime Prevention Platform
SALARY: £68,202 - £75,780
LOCATION(S):Leeds
HOURS: [Full-time]
WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week currently, or 40% of our time, at our Leeds office.
About this opportunity…
We believe that people don't always fit neatly into roles, and we value everyone's individual skills, experience, and knowledge — it's what makes you unique! We’re looking to recruit a Applied Scientist who provides insightful, high quality complex information, advice and guidance exercising control and tailored to senior stakeholder needs either through managing a small team and/or operating as an analytical/research professional.
About us…
Like the modern Britain we serve, we’re evolving. Investing billions in our people, data and tech to transform the way we meet the ever-changing needs of our 26 million customers. We’re growing with purpose. Join us on our journey and you will too…
How you’ll make a difference…
As an Applied Scientist, you will:
Use your skill set to build machine learned models to detect and prevent fraud and financial crime.
Lead small teams in the development and maintenance of data science products that serve internal and external customers.
Work with diverse datasets and efficiently process and learn from them in order to gain insights.
Engage with data engineering teams within the Economic Crime Intelligence lab to help guide how we can best make use of our ECP data.
Work closely with stakeholders to understand business problems and help guide where data science solutions could prove fruitful.
What you’ll need…
BSc/MSc in Computer Science, Machine Learning, Mathematics or similar field.
Well versed in data science and machine learning techniques especially on tabular supervised learning problems.
Proficient in Python and the Python data science ecosystem.
Good software engineering underpinnings, understanding of how ML models can be exposed behind APIs applications and welcomes opportunity to build out interactive dashboards.
Ability to design and implement ELT pipelines in an efficient manner.
Knowledge of database systems (SQL and NoSQL).
It would be great if you had any of the following…
Knowledge of fraud and/or financial crime.
Experience with building Python data visualization apps using things like Plotly Dash.
Knowledge of clustering algorithms and the problems they can help solve.
Experience with cloud platforms especially, GCP.
About working for us…
Our focus is to ensure we are inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity, or culture. 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. And it is why we especially welcome applications from under-represented groups. We are disability confident. So, if you would like reasonable adjustments to be made to our recruitment processes, 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.
30 days’ holiday, with bank holidays on top
A range of wellbeing initiatives and generous parental leave policies
Ready for a career where you can have a positive impact as you learn, grow, and thrive? Apply today and find out more.
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.
