Intern - Risk SG

CIMB Singapore • Internship • Singapore • 2w ago

Overview

Join our team as a Data Science and Analytics Intern to apply your technical skills to real-world business challenges. You will work closely with our data and engineering teams, focusing on the collection, processing, and interpretation of complex data sets to drive strategic decision-making. This internship is designed for students passionate about leveraging Python and statistical methods to uncover valuable insights and contribute to measurable business outcomes.

📈 What You'll Get Out of This Internship

Advanced Python Skills: Deepen your expertise in critical Python libraries (e.g., Pandas, NumPy, Scikit-learn) essential for professional data manipulation.
End-to-End Data Workflow: Gain exposure to the full analytics lifecycle, from raw data extraction and cleaning to insightful visualization and presentation.
Mentorship in MIS/Data Strategy: Receive guidance on Management Information Systems (MIS) concepts and how data is strategically utilized in a corporate setting.
Problem-Solving Portfolio: Build a tangible portfolio of projects where you’ve translated complex data into clear, actionable business recommendations.
Stakeholder Communication: Practice presenting complex technical findings to non-technical business leaders, enhancing your communication skills.

📊 Key Responsibilities

Automate Data Processing: Develop and refine Python scripts to efficiently clean, transform, and integrate raw data from various internal sources.
Generate Core Insights: Apply statistical techniques to large datasets to identify trends, anomalies, and key performance indicators (KPIs) relevant to business goals.
Enhance Data Quality: Implement rigorous data validation and quality checks, ensuring high levels of accuracy and integrity across reporting systems.
Create Visualizations: Design compelling charts and dashboards to communicate complex analytical results in an easily digestible format for business users.
Support MIS Reporting: Assist the team in maintaining and improving the structure of management information systems and routine reporting cycles.
Propose Improvements: Proactively identify inefficiencies in existing data processes and propose technical or procedural solutions for continuous optimization.
Document Processes: Clearly document data pipelines, code logic, and analytical methodologies for knowledge transfer and future scalability.

✅ Requirements

Currently enrolled in an undergraduate or postgraduate program focusing on Data Science, Computer Science, Statistics, or a quantitative discipline.
Confident working with Python for data analysis and comfortable understanding its various libraries/modules.
Familiar with techniques for preparing data, such as cleaning, merging, and standardizing messy information.
Possesses strong analytical skills—the ability to look at data, find the story, and draw logical conclusions.
A clear and persuasive communicator who can explain technical findings to people who aren't technical experts.
Highly detail-oriented with an unwavering commitment to making sure data is correct and reliable.
A proactive problem-solver who enjoys improving processes and takes initiative without constant supervision.

🎯 Who This Internship Is Ideal For

This internship is ideal for a results-driven student with a strong quantitative background who is eager to apply their programming skills to solve practical business problems, contributing directly to data-driven strategic decisions.

🏢 About the Company

[Fictional Company Name] is a leading innovator in [Industry, e.g., sustainable finance/digital services], committed to leveraging cutting-edge technology and data analytics to deliver exceptional value to our clients. We foster a culture of technical excellence, continuous learning, and collaborative innovation, encouraging our team members to push boundaries.