Similar Jobs
End Date
Monday 02 June 2025Salary Range
£87,552 - £97,280We support flexible working – click here for more information on flexible working options
Flexible Working Options
Hybrid Working, Job ShareJob Description Summary
.Job Description
JOB TITLE: Applied Scientist
SALARY: £87,552 - £97,280
LOCATION(S): London
HOURS: Full time
WORKING PATTERN: We work in a hybrid way which involves colleagues spending at least two days per week or 40% of their time at one of our office sites.
About this opportunity
We are looking to recruit an Applied Scientist to sit within a newly formed AI Innovation team. This role will be fundamental in supporting the platform in integrating pioneering machine learning technology to prevent fraud and financial crime.
The AI Innovation team will be responsible for pioneering our next wave of fraud and financial crime machine learning models. Think Deep Learning auto regressive models on Tbs of transaction data or innovating on our current anti-money laundering approaches using graphical neural networks/deep anomaly detection models.
We are seeking a candidate with a genuine passion in the field of Deep Learning with particular expertise in building large scale Deep Learning solutions.
In this role within the AI Innovation team, you would be responsible for…
Using your skills to create ML models with an economic crime focus, pushing the boundary of what is currently possible by embracing innovative new approaches.
Leading small teams in the development and maintenance of AI products that serve internal and external customers.
Working with diverse datasets and efficiently process and learn from them in order to gain insights.
Engaging with data engineering teams within the Economic Crime Intelligence lab to help guide how we can best make use of our ECP data.
Collaborating with collaborators to understand business problems and help guide where data AI solutions could prove fruitful.
About us
Join us and, as well as making a difference to customers, you’ll enjoy a fulfilling career where you’re free to be yourself. Great colleagues, redefining workspaces, hybrid working and a wide variety of career opportunities – you’ll find them all here.
What you'll 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.
Any experience of these would be really useful:
Experience with Huggingface and/or Geometric Deep Learning libraries.
Exposure to fraud and/or financial crime.
Experience with cloud platforms especially , GCP.
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.
We also offer a wide-ranging benefits package, which includes:
A generous pension contribution of up to 15%
An annual bonus award, subject to Group performance
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
If you’re excited by the thought of becoming part of our team, get in touch. We’d love to hear from you.
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.
Lloyds Banking Group London, England Office
25 Gresham Street, London, United Kingdom, EC2V 7HN
