Company Description IntelliEcho is building a next-generation interactive Data Science learning platform where learners experience real-world Data Science workflows rather than only studying theory. The platform offers simulation-driven courses across Classical Machine Learning, Time Series, Neural Networks, Transformers, LLMs, and Agentic AI. Learners progress through structured levels to build strong foundations, solve realistic problems, and develop the mindset of professional Data Scientists.

IntelliEcho’s mission is to bridge the gap between online learning and industry-ready Data Science skills, creating a practical, outcome-focused learning experience for aspiring data professionals.

Role Description As a Data Science Intern at IntelliEcho, you will support the design, implementation, and evaluation of data-driven workflows and learning simulations used in our platform. On a typical day, you will explore datasets, perform data cleaning and preprocessing, apply statistical techniques, and experiment with machine learning models to solve practical problems. You will collaborate with mentors and team members to document findings, visualize results, and help translate complex insights into clear, learner-friendly content.

This is a full-time hybrid role based in Indore,



with a mix of on-site collaboration and some flexibility for work-from-home arrangements.

Qualifications Solid analytical skills to interpret data, identify patterns, and derive actionable insights.

Foundational knowledge of Statistics, including probability, hypothesis testing, and regression concepts.

Exposure to Data Science techniques, including basic machine learning workflows and model evaluation.

Ability to perform Data Analysis and Data Analytics tasks such as data cleaning, feature exploration, and visualization.

Familiarity with Python or R and common data libraries (e.g., pandas, NumPy, scikit-learn, matplotlib or similar).

Comfort working with structured and unstructured datasets and learning new tools quickly.

Current enrollment in or recent completion of a degree in a quantitative field (e.g., Computer Science, Data Science, Statistics, Mathematics, Engineering, or related discipline).

Clear written and verbal communication skills and the ability to collaborate in a team-based environment.

Curiosity about applied Machine Learning, Time Series, Deep Learning, and LLM-related workflows is highly beneficial.

📌 Data Science Intern (Indore)
🏢 IntelliEcho
📍 Indore