End Date
Tuesday 27 January 2026
Salary Range
£72,702 - £80,780
We support flexible working — click here for more information on flexible working options
Flexible Working Options
Hybrid Working
Job Description Summary
JOB TITLE: Data Scientist
SALARY: £70,929 - £78,810 per annum
LOCATION: Bristol
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.
On-call Required
Job Description
About this opportunity
You will join the Consumer Servicing & Engagement (CS&E) Platform , a team focused on delivering a unified digital servicing experience for personal customers on the device of their choice. We aim to provide the best digital customer experience by increasing engagement and enabling seamless self-service.
What you’ll be doing:
- Lea d a nd build AI and ML solutions, including feature selection, model training and validation
- Prepare and explore data ahead of modelling andлап.
- Utilise a modern tech stack for data science, including python, microservices, google cloud platform and other tools
- Work closely with data and ML engineers to develop and scalably integrate modelling solutions
- Work closely with business stakeholders to ensure that data science solutions are designed in a manner that aligns with business needs.
- Operate as part of a collaborative agile team where data scientists, architects, engineers, and other specialists support one another to deliver effectively
- Prepare documentation for publication and governance review in line with organisational standards for applying ML and AI solutions
- Apply the AI Principles, develop guardrails for customer facing AIominator propositions
- Deploy digno observe the MLOps and AI Ops pipelines to ensure operational reliability and compliance
What you’ll need:
- Experience building and deploying AI/ML solutions across the full lifecycle.
- Proficiency in Python (NumPy, Scikit-learn, Pandas) and SQL.
- Hands‑on experience with deep learning frameworks like PyTorch , TensorFlow, or JAX.
- Solid understanding of machine learning theory and statistical modelling.
- Familiarity with MLOps /AI Ops practices for scalable, reliable deployment.
- Strong communication and leadership skills, with a collaborative mindset.
- Comfortable working in agile, cross-functional teams.
Nice to have:
- Experience with Google Cloud Platform (GCP).
- Exposure to Natural Language Processing (NLP) techniques.
- Familiarity with Generative AI tools, including LLMs and frameworks like LangChain or LangGraph.
Why Lloyds Banking Group
We’re on an exciting journey and thereividade 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.
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 Bentlevs, createighter 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’s made to our recruitment processes, just let us know.
Benefits package
- 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
R eady to start growing with purpose? Apply today
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 નીચે 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.
:quality(80))
:quality(80))
:quality(80))