Lead Data & AI Scientist - ML Models Fraud & Financial Crime

Lloyds Banking Group; Otley; Hybrid; GBP 70,000 - 79,000; Full time

Job summary

A major financial institution in the UK is looking for a Lead Data & AI Scientist to enhance fraud detection capabilities through innovative AI methods. The ideal candidate will lead teams and engage with diverse data. This full-time role offers a hybrid working pattern in Leeds, along with a competitive salary and comprehensive benefits package.

Benefits

Generous pension contribution

Annual performance-related bonus

Discounted shopping benefits

30 days' holiday plus bank holidays

Wellbeing initiatives

Qualifications

• Experience building, deploying and maintaining NLP/Deep Learning Systems.
• Strong leadership skills using empathy to support your team.
• Extensive experience in at least one Deep Learning framework.

Responsibilities

• Build machine learned models to detect and prevent fraud.
• Lead teams in the development of AI products.
• Engage with data engineering teams to utilize ECP data.

Skills

Natural Language Processing

Generative Artificial Intelligence

Graph-based Machine Learning

Big Data Processing

Leadership

Education

Degree in Computer Science or related field

Tools

PyTorch

TensorFlow

NumPy

Pandas

Job description

Overview

JOB TITLE: Lead Data & AI Scientist
SALARY: £70,929 - £78,810 per annum
LOCATION: 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

Join our team if you have an appetite for innovation that leads to incredible impact! In the Economic Crime Prevention (ECP) Platform Team, our mission is to reduce harm to our communities by enhancing Lloyds Banking Group's capability to prevent, detect and respond to economic crime. The Platform sits within Consumer Relationships and plays a critical role in providing services across the whole Group.

About this opportunity

We’re looking to recruit a Lead Data & AI Scientist to lead on the delivery of sophisticated methods to a wide range of Economic Crime Prevention (ECP) use cases including, natural language processing, generative Artificial Intelligence (AI) and graph-based Machine Learning (ML).

We are seeking a candidate with a genuine passion for AI and protecting customers that can apply the latest advances in the field to help identify and prevent acts of fraud and financial crime across tens of millions of transactions per day.

Day to day responsibilities

• 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 AI 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 AI solutions could prove fruitful.

Why Lloyds Banking Group

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

What you’ll need

• Degree in Computer Science, Machine Learning, Mathematics or similar field.
• Experience building, deploying and maintaining NLP/Deep Learning Systems.
• Extensive experience in at least one Deep Learning framework (PyTorch, TensorFlow, JAX).
• Well versed in the scientific Python ecosystem (NumPy, Scikit-Learn, Pandas etc.).
• Strong Data Engineering underpinnings and an ability to work with big data (Tbs).
• Strong leadership skills, using empathy, clarity and challenge to support your team to be their best.
• Strong communication skills with an ability to adapt style for different audiences.

Nice to have

• Experience with Huggingface or PyTorch Geometric libraries.
• Understanding of MLOps and how it applies to the entire model lifecycle.
• Experience deploying models behind APIs.
• Experience with cloud platforms especially GCP and Vertex.

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 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's why we especially welcome applications from under-represented groups. We're disability confident. So if you'd like reasonable adjustments to be made to our recruitment processes, just let us know

Benefits

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.