About the Company

We are a data-driven organization focused on leveraging analytics, machine learning, and business intelligence to drive impactful decisions. Our teams work closely across engineering, product, and business functions to transform raw data into meaningful insights. We provide a collaborative environment where aspiring data professionals can gain hands-on experience and build strong analytical capabilities.

Introduction

We are looking for a motivated and detail-oriented Data Science Intern to join our team. This opportunity is ideal for students or recent graduates who are passionate about data analysis, machine learning, and solving real-world business problems using data.

As an intern, you will work on data preprocessing, exploratory analysis, and model development while collaborating with cross-functional teams to generate actionable insights.

Key Responsibilities

Data Processing & Cleaning

Handle raw datasets by cleaning, transforming, and organizing data for analysis.
Ensure data quality and consistency across different sources.

Exploratory Data Analysis (EDA)

Perform EDA to identify trends, patterns, and anomalies.
Use statistical techniques and visualization tools to interpret data.

Machine Learning & Modeling

Assist in building, testing, and implementing predictive models.
Work with machine learning algorithms and data modeling techniques.

Visualization & Reporting

Create dashboards, reports, and visualizations using tools like Python or Tableau.
Present insights in a clear and understandable format for stakeholders.

Collaboration

Work closely with engineering, product, and business teams.
Support data-driven decision-making across departments.

Required Qualifications

Proficiency in Python or R programming.
Strong knowledge of SQL for data extraction and querying.
Understanding of statistics, machine learning algorithms, and data modeling.
Familiarity with libraries such as Pandas, NumPy, and Scikit-learn.
Experience with visualization tools like Tableau or similar.
Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, or a related field.
Strong analytical and problem-solving skills.
Good communication and teamwork abilities.
Preference for Tamil-speaking candidates.

Preferred Qualifications

Hands-on experience with real-world datasets or academic projects.
Basic understanding of data pipelines and data engineering concepts.
Exposure to advanced machine learning techniques or deep learning.
Experience with reporting and dashboarding tools.

Why Join Us / Benefits

Hands-on experience with real-world data science projects.
Opportunity to work with cross-functional teams and industry tools.
Learning-focused environment to build strong analytical skills.
Competitive stipend ranging from ₹8,086 to ₹27,650 per month.
Food provided at the workplace.
Opportunity to grow into full-time roles based on performance.