Lloyds Banking Group Data Science

Get Career Ready

Complete work that simulates life on the job. 3-4 hours and self-paced.

Stand out in your application to Lloyds Banking Group. Show us you're a motivated candidate.

Get Career Ready

Complete work that simulates life on the job. 3-4 hours and self-paced.

Stand out in your application to Lloyds Banking Group. Show us you're a motivated candidate.

Why complete this job simulation

A risk-free way to experience work on the job with us at Lloyds Banking Group. Practise your skills with example tasks and build your confidence to ace your applications.

Self-paced3-4 hoursNo gradesNo assessmentsAdvanced

Welcome to the Lloyds Banking Group Data Science & Analytics Programme! We are thrilled to have you here.

Lloyds Banking Group is a leading UK-based financial services company dedicated to helping individuals and businesses achieve their financial goals. With a rich heritage and a focus on innovation, we strive to offer cutting-edge solutions and services to our customers, supporting them at every stage of their financial journey.

During this programme, you will get the opportunity to step into the shoes of a data science graduate and complete tasks that replicate the work that our Data Science & Analytics team does every day. You’ll learn key skills in:

Predictive modelling and machine learning
Data preprocessing and analysis
Model evaluation and performance metrics
Communicating complex data insights

We hope this programme provides a great resource for you to upskill and strengthen your resume as you explore career options and a potential career at Lloyds Banking Group.

Skills you will learn and practice:

Data Integration

Exploratory Data Analysis

Data Preprocessing

Critical Thinking

Results Communication

Machine Learning

Model Evaluation

Business Communication

Data Visualization

How it works

Introduction from Lloyds Banking Group

Hear Noel Helliwell, Machine Learning Engineer at Lloyds Banking Group, introduce the simulation.

Tasks in this program

Intro & Scenario

Meet your team members and learn about your project goals.

Your role

You are a data science graduate at Lloyds Banking Group.
You are part of the Data Science & Analytics team, where each member contributes uniquely to projects.
Your team has been assigned the task of enhancing customer retention through analytics, focusing on predicting customer churn.
As a recent graduate eager to apply your data science skills, you see this project as an excellent opportunity to make a meaningful impact.

Your goal

Your primary task is to collaborate with the team to gather and analyse data relevant to customer churn.
You need to perform exploratory data analysis to uncover patterns and insights, clean and preprocess the data, and build a predictive model for customer churn.
Additionally, you are expected to suggest ways to evaluate and measure the model's performance.

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Reviews

Over 2500

5 Star Reviews

"The most important thing is how they have explained all required things that were necessary for building EDA and ML model. The knowledge shared was precise and too the point. No extra content were there only required things and important factors shared. which is good."-- Student from Cardiff Metropolitan University

"like the things we needed to work but for students on first year of any bachelors studies this was hard to understand. but someone like me who even though in first year developing project s and dashboard have curiosity this was great learning work"-- Student from My institution is not listed

"The simulation provided a practical understanding of how data science is applied in real-world banking scenarios. I particularly liked how it covered the full workflow from data analysis to predictive modelling and business decision-making. It helped me improve both my analytical thinking and problem-solving skills."-- Student from Swarnandhra College of Engineering and Technology

"The simulation provided a practical and structured approach to understanding how data analytics is applied in real-world banking scenarios. I particularly found the focus on customer churn prediction, EDA, and data preprocessing valuable, as it helped bridge the gap between theoretical knowledge and practical application. The tasks were clear, enga..."-- Student from Chhattisgarh Swami Vivekanand Technical University

"I really liked how the simulation provided a structured, hands-on experience of a real-world data science project. It was helpful to work through the entire pipeline, from data collection and exploratory analysis to building and evaluating a machine learning model. The tasks felt practical and relevant, especially in understanding how analytical in..."-- Student from St Joseph's College of Commerce