Data Science & AI Industrial Placement - Manchester

targetjobs UK; Manchester; Hybrid; GBP 27,000 - 32,000; Full time

Benefits offered by this job

Hybrid working policy

Job summary

Lloyds Banking Group is offering a Data Science & AI Graduate placement in Manchester. You will train models, deploy scalable AI solutions, and push real-world impact through data-driven decisions.

Expect rotations across teams handling cloud-native AI, analytics, ML, and responsible AI with an emphasis on business value. You’ll work within a hybrid setup, collaborating with software engineers and analytics experts, gaining hands-on experience in Python, SQL and modern AI tooling while growing

Qualifications

• Knowledge of at least one modern programming language or framework.
• Be in your penultimate year at university.
• Strong passion for technology and continuous learning.

Responsibilities

• Work in Cloud-native AI engineering and data platforms to design, build and deploy intelligent solutions.
• Contribute to advanced analytics, statistical learning and decision intelligence projects.
• Develop, evaluate and operationalise ML models using state-of-the-art libraries.
• Engage with Generative AI, LLMs and agent frameworks to build next-generation AI applications.
• Create resilient data pipelines and automated ML workflows with modern CI/CD practices.
• Participate in AI assurance, governance, and explainability to ensure robust, ethical systems.

Skills

Python

SQL

GCP

Data analysis

Machine learning

Generative AI

Agentic AI

AI solution design

CI/CD

DevOps

Tools

TensorFlow

PyTorch

scikit-learn

LangChain

Google ADK

XGBoost

Job description

Your AI era starts now

At Lloyds BankingGroup,dataisn’tjust something we store in the cloud.It’sthe juice that keeps ideas flowing, decisions sharper, and progress unstoppable.

OurChiefData & AnalyticsOffice has one mission: weave data,analyticsand AI into every decision we make. The goal? Simple. Every choice, everywhere, driven by data.

As a Data Science & AI Graduate, youwon’tbe on the sidelines watching the algorithms run the show.You’llbe training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whetheryou’reoptimising performance, unlockinginsightor making predictions, everything you do will be rooted in data literacy,ethicsand genuine business impact.

One year. Real impact

Throughout this placement, you’ll do everything a Data & AI Scientist does. And while you build out your technical expertise within a specific team from the outset, your impact will be felt throughout the business.

You’ll be placed in a team working on:

• Cloud-native AI engineering and large-scale data platforms, leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale.
• Advanced analytics, statistical learning and decision intelligence, applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers.
• Machine Learning, predictive modelling and applied AI, developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation.
• Generative AI, Large Language Models and autonomous agent systems, building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues.
• Data engineering, MLOps and intelligent automation, creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling AI solutions to operate reliably across the enterprise.
• AI assurance, evaluation science and model governance, designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives.
• Responsible AI, explainability and algorithmic governance, applying principles of fairness, transparency, interpretability and risk management throughout the AI lifecycle, helping maintain customer trust while delivering innovative AI capabilities.

Your skills toolkit

You’ll gain experience in:

• Python& SQL
• Cloud platforms like GCP
• Data Analysis
• Machine learning techniques, both theory and application
• Generative and Agentic AI
• AI Solution design and evaluation techniques
• CI/CD andDevOps

…all delivered through a commercial lens

Support in your corner

You’ll Get

• A chance to not just build on your existing knowledge but also grow in areas you’re interested in
• The opportunity to learn directly from software engineers and technical specialists who know what they’re doing

Requirements

What you need to apply

• Be in your penultimate year at university.
• While we do not require a set minimum projected degree achievement, we strongly recommend the ability to be able to demonstrate sound knowledge, understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process.
• Knowledge of at least one modern programming language or framework.
• A genuine passion for technology and the drive to keep learning.

Locations

Bristol, Edinburgh, Leeds and Manchester. With our hybrid working policy, all colleagues spend at least two days a week in the office.

Opening and Closing date

Applications open on 10th September and close on 8th November. Our opportunities may close early if we receive a high number of applications, so it’s best to apply as soon as possible.