Job Summary

We are seeking a Senior Analyst – Data Science with strong skills in predictive modeling and statistical analysis, particularly in the Automotive industry. The role focuses on building and validating risk and finance-related models, working with large-scale data, and delivering actionable insights to global automotive 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.
- 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 6 years of experience in 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 solid advantage.
- Familiarity with Power BI, R, and Excel is desirable.
- Excellent communication skills and client-facing experience.

Why Join Us?

Opportunity to work on automotive-focused data science projects with global OEMs and Tier-1 suppliers.

Be part of a team driving innovation in risk and finance modeling for the automotive sector.

A growth-oriented culture with continuous learning and exposure to cutting-edge AI & analytics.

We are an equa

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