About bluCognition:
bluCognition is an AI/ML based start-up specializing in risk analytics, data conversion and data enrichment capabilities. Founded in 2017, the company is headquartered in the US, with the delivery centre based in Pune.
We build all our solutions while leveraging the latest technology stack in AI, ML and NLP combined with decades of experience in risk management at some of the largest financial services firms in the world. Our clients are some of the biggest and the most progressive names in the financial services industry.
We are entering a significant growth phase and are looking for motivated and analytical freshers who want to join us in this exciting journey.

What will your role involve?
Work with large volumes of structured business data in a cloud data warehouse setting.
Build and improve logic that cleans, standardizes, and structures inconsistent real-world data.
Perform data profiling, quality assessment, cleansing, standardization, and validation using SQL, Python, and Microsoft Excel.




Explore both rule-based and AI/LLM-driven approaches to the same problem and compare how each performs.
Carry out quality checks and accuracy assessments on data outputs at scale.
Build reusable SQL and Python utilities for data validation, duplicate detection, anomaly identification, and quality monitoring.
Write Python and SQL to support processing, analysis, and reporting tasks.
Support data governance initiatives by ensuring data consistency, integrity, and adherence to defined data quality standards.
Document transformation logic, business rules, and validation checks to support auditability and knowledge sharing.
Collaborate with analytics, data science, and engineering teams through testing and review cycles.

To help us level up, you will ideally have:
Educational Background: Degree in Computer Science, Data Science, Statistics, Mathematics, Commerce, Business Administration, Economics, Banking, Finance, or a related discipline. We value cand

📌 Intern - Data Analyst (India)
🏢 bluCognition
📍 India