
Data Science Intern
comprinno
Posted 2026-05-08
INR 14,999 - INR 15,000 per year
Tech & Engg
Job Description
Ovii's Interpretation of the Role
Join Comprinno as a Data Science Intern in Pune, working on real‑world AI and analytics projects. You will clean data, build and evaluate models, experiment with large language models, and create visual insights for business stakeholders.
Role Snapshot
- Data analysis & visualization
- Machine learning model support
- Generative AI experimentation
- Prompt engineering
- Python programming
- Cross‑functional collaboration
Must-Have Requirements
- Python
- Pandas
- NumPy
- Scikit‑Learn
- SQL
- Statistics
- Machine Learning concepts
- Data analysis
- Model evaluation
- Machine learning
- Generative AI
- B.Tech/M.Tech/B.E./M.E. in Data Science, AI, ML, Statistics, Mathematics or related
Nice-to-Have Signals
- AWS AI/ML services (SageMaker, Bedrock, Comprehend)
- Deep learning frameworks (TensorFlow, PyTorch)
- Prompt engineering concepts
- Generative AI frameworks (LangChain, HuggingFace, OpenAI, Anthropic)
- Data visualization tools (Matplotlib, Seaborn, Power BI, Tableau)
- Git
- Kaggle competitions
- Hackathons
- Research projects
- Open source contributions
- AWS AI/ML services
- Deep learning frameworks
Work Setup
- Location: Pune, India
- Work mode: ONSITE
- Employment type: Intern
Not Specified in JD
- Visa sponsorship
- Salary range
- Remote eligibility
- Relocation
- Notice period
- Travel
- Security clearance
- Coding test
- Portfolio
- GitHub
- Writing sample
- Cover letter
What You'll Likely Work On
- Collect, clean, preprocess, and validate datasets from multiple sources.
- Perform exploratory data analysis and build visual dashboards to inform decisions.
- Support development, testing, and evaluation of ML models for classification, regression, forecasting, recommendation and NLP.
- Experiment with large language models, build GenAI‑powered solutions, and apply Retrieval‑Augmented Generation concepts.
- Design, test, and optimise prompts for LLMs, creating reusable prompt libraries.
- Create clear reports and presentations for technical and non‑technical audiences.
- Research emerging AI technologies, prototype proof‑of‑concepts, and document findings.
Good Fit If You Have
- Strong analytical curiosity and problem‑solving mindset.
- Excellent communication and storytelling ability.
- Collaborative team player with a growth‑oriented attitude.
Skills
- Python
- Pandas / NumPy / Scikit‑Learn
- SQL
- Statistics & ML concepts
- Data visualization (Matplotlib, Seaborn, Power BI, Tableau)
- Generative AI frameworks (LangChain, HuggingFace, OpenAI, Anthropic)
- AWS AI/ML services (SageMaker, Bedrock, Comprehend)
- Deep learning frameworks (TensorFlow, PyTorch)
- Prompt engineering
- Git & collaborative workflows