Applied Scientist - ML Models Fraud & Financial Crime

Applied Scientist - ML Models Fraud & Financial Crime

Applied Scientist - ML Models Fraud & Financial Crime

Apply locations Leeds Wellington Place time type Full time posted on Posted 13 Days Ago time left to apply End Date: May 9, 2025 (15 days left to apply) job requisition id 113788

End Date: Thursday 08 May 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:

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 an 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.

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 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.