Role Overview

We are seeking a Senior Analyst Data Science with strong skills in predictive modeling and statistical analysis. The role focuses on building and validating risk and finance-related models, working with large-scale data, and delivering actionable insights to global clients.

This is an Individual Contributor (IC) role with direct client-facing responsibilities.

Key Responsibilities
Develop, validate, and document ML predictive models for automotive risk and

finance use cases
Extract, process, and analyze large datasets using SQL.
Model development (regression and classification), should have solid exp in performing

EDA,
Build and validate statistical and machine learning models including regression and

advanced predictive techniques.
Interpret model inputs/outputs and provide actionable insights with clear

documentation.
Challenge and enhance existing traditional finance models through robust

statistical methodologies.




Work independently with clients, owning deliverables end-to-end as an individual

contributor.
Collaborate with internal teams to contribute to knowledge sharing and organizational

growth. Required Skills & Expertise
3 to 5 years of experience in Machine Learning, Data Science / Predictive Analytics.
Proficiency in Python and SQL (hands-on expertise is a must).
Positive understanding of statistical modeling, regression analysis, and ML algorithms.
Experience in model validation and documentation.
Robust ability to translate technical findings into meaningful business insights.
GCP (Google Cloud Platform) exposure is a strong advantage.
Familiarity with GENAI, LLM Power BI, R, and Excel is desirable. (added plus)
Excellent communication skills and client-facing experience

📌 Walk In Data Science Analyst Bengaluru
🏢 Pi Square Technologies
📍 Bengaluru