Data Scientist

Lloyds Banking Group
Bristol
1 week ago
Create job alert
End Date

Tuesday 27 January 2026

Salary Range

£72,702 - £80,780

Flexible Working Options

Hybrid Working

On‑call Required

Job Description Summary

JOB TITLE: Data Scientist
SALARY: £70,929 - £78,810 per annum
LOCATION: Bristol
HOURS: Full‑time
WORKING PATTERN: Hybrid, at least two days per week, 40% of time at office sites.

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
  • Lead and build AI and ML solutions, including feature selection, model training and validation.
  • Prepare and explore data ahead of modelling and labelling.
  • 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 AI‑based propositions.
  • Deploy and 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 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.

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
  • 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 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 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.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist - Imaging - Remote - Outside IR35

Data Scientist - Measurement Specialist

Data Scientist (Predictive Modelling) – NHS

Data Scientist

Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.