Data Scientist

JOB TITLE: Data Scientis – Economic Crime Prevention Platform

Salary: £68,202 - £93,540

LOCATION(S): London or 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 London or Leeds Office

About this opportunity…

We’re looking to recruit two Data Scientists to sit within a newly formed AI Innovation team. These roles will be instrumental in helping the platform adopt state of the art machine learning to protect against fraud and financial crime. This could include, but not limited to the use of, LLMs, graph-based ML and sequence modelling.We are seeking a candidate with a genuine passion in the field of ML with particular expertise in a specific domain (Sequence Modelling, Graph Based ML, LLMs, etc.).

In the Economic Crime Prevention (ECP) Platform, our mission is to reduce harm to our communities by enhancing the 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 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…

Here’s how you’ll make a difference…

As a Data Scientist in the AI Innovation team, you will…

• Use your skill set to build ML models with an economic crime focus, pushing the boundary of what is currently possible via the adoption of innovative new approaches.

• 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.

What you need…

• Experience building, deploying and maintaining advanced Machine Learning models.

• 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).

• Experience in at least one Deep Learning framework (PyTorch, TensorFlow, JAX etc).

• 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.

It would be great if you also had…

• Experience with Huggingface and/or Geometric Deep Learning libraries.

• Exposure to fraud and/or financial crime.

• Experience servicing models behind APIs.

• 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.