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InternshipIntermediate foundation Kozhikode · Hybrid
Data Science InternExtract actionable intelligence from complex datasets, prototype machine learning models, and build reproducible data pipelines supporting Xynvia’s healthcare and enterprise AI systems.
Apply for this role 01Intermediate capability 02Real product work 03Hybrid collaboration Role standard
Ready to contribute. Still ready to learn.
At least one end-to-end data science project or a credible portfolio demonstrating exploratory data analysis (EDA), statistical modelling, feature engineering, and model evaluation.
What matters most
Show us how you think, what you have built or learned, and how you improve work after feedback.
Responsibilities
What you will own.
• 01Clean, explore, and preprocess structured and unstructured data to extract meaningful patterns and baseline metrics.
• 02Develop, evaluate, and benchmark machine learning and statistical models using sound validation techniques.
• 03Build and maintain reproducible data pipelines, ETL scripts,



and analytical workflows for real-world datasets.
• 04Collaborate with engineering teams to package and serve model prototypes via lightweight APIs (FastAPI / Flask).
• 05Document analytical methodologies, dataset assumptions, validation results, and experiment findings with clarity.

Intermediate skills
What you should bring.
• Proficiency in Python and core data libraries (Pandas, NumPy, Scikit-Learn)
• Robust foundation in statistics, hypothesis testing, probability, and exploratory data analysis
• Intermediate SQL for querying, aggregating, and structuring relational data
• Working knowledge of machine learning algorithms (regression, classification, clustering, ensemble methods)
• Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly) and version control (Git)

Useful, not required: Experience with PyTorch, TensorFlow, NLP / LLM concepts, computer vision basics, vector databases, FastAPI, Docker,

📌 Data Science Intern (Bengaluru)
🏢 Xynvia
📍 Bengaluru