Intern - Data Analytics

Job Overview

We are looking for a passionate and driven Group Business Analytics Intern with an interest in data science and machine learning. This is a unique opportunity to gain hands-on experience working on real-world analytics and machine learning projects. As part of the Group Business Analytics team, you will work closely with experienced data scientists and analysts to help solve complex business problems and support data-driven decision-making across the organization.

Key Responsibilities

• Assist in collecting, processing, and analyzing data from multiple sources to support analytics initiatives.
• Contribute to machine learning projects, including data preparation, feature engineering, model training, and evaluation.
• Collaborate with cross-functional teams (e.g., Marketing, Finance, Operations) to identify opportunities for machine learning applications.
• Help develop and deploy predictive models for business forecasting, customer segmentation, and other use cases.
• Create and maintain dashboards, reports, and visualizations to track key performance indicators (KPIs) and model performance.
• Assist in evaluating model performance and making recommendations for improvement.
• Conduct ad-hoc analysis and support A/B testing and other experimentation to improve business outcomes.
• Ensure data quality and integrity by cleaning and validating datasets.
• Document findings and insights, and effectively communicate results to both technical and non-technical stakeholders.

Qualifications

• Currently pursuing a degree in Data Science, Statistics, Economics, Computer Science, or a related field.
• Experience with machine learning algorithms and frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Strong analytical skills and the ability to work with large datasets.
• Proficiency in Python, with knowledge of SQL.
• Familiarity with data visualization tools (e.g., Power BI, Tableau) is a plus.
• Basic understanding of statistical concepts and experience with data modeling.
• Exposure to natural language processing (NLP), time-series forecasting, or similar domains is a plus.
• Strong attention to detail, with a passion for solving problems using data and machine learning.
• Excellent communication and collaboration skills.
• Ability to manage multiple tasks and thrive in a fast-paced environment.
• A proactive attitude with a willingness to learn new tools and techniques.

Benefits

• Hands-on experience in machine learning, data analytics, and business intelligence.
• Exposure to real-world applications of data science in a business context.
• Mentorship from senior data scientists and analytics professionals.
• Opportunity to work on end-to-end machine learning projects, from data preparation to model deployment.
• Professional development and networking opportunities.