Senior Data Scientist

JOB TITLE: Senior Data Scientist

SALARY: £87,552 - £97,280

LOCATION(S): London

HOURS: Full-time - 35 hours per week

WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at our London office.

About this opportunity

Lloyds Banking Group is the UK’s leading digital franchise, with over 13 million active online customers across our three main brands - including Lloyds Bank, Halifax and Bank of Scotland - as well as the biggest mobile bank in the country. We're building the bank of the future, and we need your help.

Within the Natural Language Engineering Lab, we aim to pioneer innovative solutions that create, maintain, and enhance Conversational Memory, enabling AI agents to interact with customers as expertly as seasoned human financial and banking experts.

We’re a diverse group of people, including data scientists, data engineers, machine learning engineers, software engineers, product owners, DevOps specialists, and many more. We come from a variety of backgrounds across the globe, but we all share a vision of the untapped potential of human and machine intelligence.

The Bank has a huge, untapped resource in the form unstructured data contained in calls with customers, webchats, e-mail and a host of other documents and media. We have a range of technologies to capture it, and we want to lead on harnessing its potential.

About us

We’re on an exciting journey and there couldn’t be a better time to join us. The investments we’re making in our people, data, and technology are leading to innovative projects, fresh possibilities, and countless new ways for our people to work, learn, and thrive.

What you'll do

In joining their Data Science team, you could have a very bright future at the ground-breaking of data-led innovation.

• You'll support all stages of a project from working with the business collaborators and users to exploring the problem statement, exploring our data assets, experimenting with different modelling approaches and developing systems powered by Machine Learning all within an iterative and Agile environment. This means a focus on improving our customer and colleague journeys.

• You'll need to understand the business’ requirements and work with POs and Engineers to represent them through the creation and prioritisation of work for the development team.

• You'll develop experimental models and Machine Learning systems in Python, supporting other Data Scientists and working in close collaboration with the end users and business SMEs.

• Your models will have a material impact on the lives of up to 30m+ customers across the whole of the UK.

Essential skills & experience:

• Have the proven experience as a data scientist, working with NLP/ML/GenAI models, and having extensive production experience in Python.

• Strong experience in applying deep learning, machine learning, analytical techniques, data processing, clustering, regression, and classification to create ML models that will help business collaborators understand unstructured data and semi-structured data within the organisation.

• Proven track record of creating ML/LLM Ops and end-to-end pipelines on both on-premises and cloud platforms.

• Experience in managing enterprise-level projects, with the ability to automate and enhance the current modelling structure.

• Effective performance under pressure, delivering high-quality work within project timelines, and providing guidance to other team members.

• Extensive coding/scripting experience (Python) developed in a commercial/industry setting.

• Strong theoretical and applied knowledge of Machine Learning techniques, especially in the Natural Language domain or when working with other unstructured data.

• Solid understanding of Python, including writing modular Pythonic code, familiarity with core Python data structures, fluency with pandas, and experience with unit testing.

Desirable skills & experience

• Hands-on work experience with Google Cloud Platform (GCP) implementations.

• Experience in implementing and supporting Machine Learning systems, including automating data validation, model training, model validation, and model monitoring.

• Awareness of the latest industry technical developments, emerging trends, and new technologies related to Natural Language and Generative AI.

• Deep understand of Jenkins pipelines and efficiently scripting them

• Docker containerisation to build Docker containers from scratch.

• Experience in infrastructure via Terraform or any other tool resulting in build, test and maintaining it.

• Knowledge of data visualisation tools, such as Tableau, to build dashboards and produce outcomes by combining structured and unstructured data.

About working for us

Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities, and we’re committed to creating an environment in which everyone can thrive, learn and develop.
 
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.
 
We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme.
 
We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need.
 

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