Role Overview:
We are seeking a motivated and curious Data Science Intern to join our team. This internship offers hands-on experience in data analysis, machine learning, and business problem-solving. You’ll work closely with experienced data engineers and cross-functional teams to support real-world projects.
Key Responsibilities:
Data Preparation & Exploration
Assist in collecting and cleaning datasets from various sources.
Perform basic exploratory data analysis to uncover trends and insights.
AI & Model Development
Support the development and testing of machine learning models for tasks like classification and forecasting.
Learn and apply techniques for model evaluation and optimization.
Problem-Solving
Contribute to projects aimed at solving business challenges such as customer segmentation or campaign analysis.
Apply analytical thinking to interpret data and suggest improvements.
Collaboration & Communication
Work with business, product, and engineering teams to understand project goals.
Present findings in a clear and concise manner to both technical and non-technical audiences.
Visualization & Reporting
Create simple dashboards and visualizations to communicate insights.
Help prepare reports and presentations for stakeholders.
A/B Testing
Learn how to design and analyze experiments to test business hypotheses.
Technical Skills (Intern Level):
Basic Programming: Familiarity with Python or R for simple data tasks.
Introductory SQL: Ability to write basic queries to access and filter data.
Statistical Foundations: Understanding of basic statistical concepts like averages, distributions, and correlations.
Data Science: Proficiency in Data Mining, including statistical analysis, machine learning techniques and data visualization tools.
Learning Tools: Willingness to explore tools like Tableau or Power BI under guidance.
Analytical Skills:
Logical Thinking: Ability to approach problems methodically and think through solutions.
Pattern Recognition: Capable of identifying trends and anomalies in data.
Curiosity & Initiative: Eager to ask questions and explore data to uncover insights.
