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    "I liked the hands-on, real-world approach of the simulation. It helped me understand practical IAM concepts, improved my problem-solving skills, and gave me clarity about how such systems are implemented in organizations."-- Student from Biju Pattnaik University of Technology
    "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
    "I particularly enjoyed how the simulation closely mirrored a real-world data science project within a banking environment. It provided a structured yet flexible approach, allowing me to apply theoretical knowledge to practical tasks such as data gathering, exploratory data analysis, and building a machine learning model. The step-by-step progressio..."-- Student from My institution is not listed
    "The simulation felt genuinely realistic — working with a multi-sheet dataset and having to engineer features across demographic, transactional, and behavioural data mirrors what data scientists actually do in banking. Task 2 especially pushed me to think beyond just building a model and consider how to communicate results to non-technical stakehold..."-- Student from Narsee Monjee Institute of Management Studies
    "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
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    Introduction from Lloyds Banking Group

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

    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.

    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

    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.
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    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.
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    Data Science & Analytics

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

    Data Free 2500+ 5 Star Reviews