Data Science & Analytics

Drive data-driven decisions and customer retention strategies at Lloyds Banking Group through advanced data science and analytics.

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-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

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 really appreciated the practical, real-world focus of the program. It gave me the chance to apply data-driven thinking to a meaningful business problem like customer retention. The balance between technical tasks and business context helped me understand how predictive analytics directly supports strategic decision-making.

Student

I appreciated the realistic business context and the clear link between data science and customer retention strategy. The simulation helped me practise key steps of a data science project, from data gathering and exploratory analysis to model selection, evaluation metrics, and business recommendations.

Student, Université Denis Diderot (Paris VII)