Job Title: Data Science Intern

Job ID: 0418

Work Mode: Remote

Experience: Fresher

Stipend: ₹10,000 – ₹12,000 per month

Role Overview

We are seeking a motivated Data Science Intern to join our AI/ML team. In this role, you will work on analyzing large-scale structured and unstructured datasets, building data pipelines, and leveraging state-of-the-art models such as OpenAI’s GPT-4 APIs and Google’s Gemini. This internship offers a unique opportunity to contribute to data-driven solutions in the health, wellness, and fitness domains.

Key Responsibilities

• Analyze structured and unstructured datasets, including conversational data, fitness records, and health reports
• Design and implement data pipelines for cleaning, transformation, and feature extraction
• Fine-tune and evaluate prompt strategies using OpenAI and Gemini APIs
• Perform model evaluation, benchmarking, and result explainability
• Build visualization dashboards and analytics tools for health and wellness data
• Support the development of personalized recommendation systems for fitness, nutrition, and mental health
• Explore and implement LLM + RAG (Retrieval-Augmented Generation) pipelines using domain-specific datasets
  
  

What We’re Looking For

• Final-year students or recent graduates in Computer Science, Data Science, AI/ML, or related fields
• Strong proficiency in Python, Pandas, NumPy, Scikit-learn, and data visualization libraries like Matplotlib or Seaborn
• Familiarity with LLMs (OpenAI, Gemini) and prompt engineering concepts
• Knowledge of tools like LangChain, Pinecone, Weaviate, or other Vector DBs is a plus
• Good understanding of statistics, model evaluation metrics, and real-world data challenges
• Bonus: Exposure to healthcare/wellness datasets, time-series analysis, or bioinformatics
  
  

What You’ll Gain

• Hands-on experience with real-world health and wellness datasets
• Exposure to cutting-edge AI/ML technologies and multimodal data analysis
• Mentorship from professionals associated with IITs, AIIMS, and global AI communities
• Potential opportunity for a pre-placement offer (PPO) based on performance
  
  

Skills: langchain,scikit-learn,seaborn,openai,python,data visualization,numpy,llms,pandas,data science,pinecone,weaviate,gemini,matplotlib