Lloyds Banking Group Data Science

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-paced

3-4 hours

No grades

No assessments

Advanced

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.

How it works

Complete tasks guided by pre-recorded videos and example answers from our team at Lloyds Banking Group. No live sessions, all self-paced.
Earn a certificate and add it to your resume and LinkedIn as an extracurricular activity.
Stand out in applications. Confidently answer interview questions and explain why you’re a good fit for our team.

Skills you will learn and practice:

Business Communication

Critical Thinking

Data Integration

Data Preprocessing

Data Visualization

Exploratory Data Analysis

Machine Learning

Model Evaluation

Results Communication

Introduction from Lloyds Banking Group

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

Tasks

Intro & Scenario

Background context and your project team

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.

Intro & Scenario

Background context and your project team

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.

Reviews

4.5

I really liked how the program provided hands-on tasks that reflected real-world data science challenges at Lloyds Banking Group. It helped me understand how data-driven insights support business decisions and customer retention strategies. The structure and clarity made it easy to follow and learn at my own pace.

Student, Osmania University

I found the simulation very practical and engaging, as it provided real-world exposure to data analysis and machine learning in a business context. It helped me understand how data-driven decisions can improve customer retention strategies. The tasks were well-structured and gave hands-on experience with tools like Python and data visualization.

Student

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