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.