Walk-in || Data Science Analyst

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 strong 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).
• Good understanding of statistical modeling, regression analysis, and ML algorithms.
• Experience in model validation and documentation.
• Strong 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