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Data Scientist

  • Posted Today
  • Permanent
  • 133096
  • Bristol
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End date

Thursday 30 October 2025

Salary range

£47,790 - £53,100

We support flexible working

Learn more about flexible working.

Agile Working Options

Hybrid Working

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. 

In this role, you’ll develop AI and ML solutions to solve business problems with guidance this includes feature selection, model training, prompting, fine-tuning, and designing validation frameworks. You’ll also conduct research using primary data sources to identify key themes and trends that inform strategic decisions. 

 What you’ll be doing: 

  • Conducts research using primary data sources to identify key themes and trends for analysis. 

  •  Supports colleagues in effectively using data management systems to drive insights and decision-making. 

  •  Delivers customer service by meeting needs directly or supervising a team of advisors. 

  •  Prepares and edits documents for publication, ensuring alignment with organisational standards. 

  •  Invests in personal development and supports others through coaching, training, and capability building. 

  •  Identifies gaps in existing processes and contributes to improvements through change initiatives. 

  •  Provides clear guidance on procedures and handles routine queries using established frameworks. 

  •  Reviews IT security issues and resolves problems with support, ensuring compliance. 

  •  Investigates programme-related questions and contributes to process improvements. 

  •  Manages risk and strategic planning outcomes within defined systems and responsibilities. 

  •  Leads teams to deliver results, working within established knowledge and operational frameworks. 

  •  Responds to objectives by developing personal skills and coaching others to improve performance.

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 

 

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 to start growing with purpose? Apply today 
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