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Job Description
Structured overview of role & requirementsAbout This Role
Develop, validate, and document machine learning predictive models focused on automotive risk and finance use cases.
Extract and analyze large-scale datasets using SQL, delivering actionable insights and clear documentation to clients.
Own end-to-end deliverables in a client-facing capacity as an individual contributor, enhancing traditional finance models with statistical methodologies.
Minimum Requirements
3 to 6 years of experience in Data Science or Predictive Analytics.
Proficiency in Python and SQL with hands-on expertise.
Experience in statistical modeling, regression analysis, machine learning algorithms, model validation, and documentation.
Location requirement: Bengaluru, Karnataka, India.
Ideal Candidate Profile
Experience working with automotive industry clients, especially OEMs and Tier-1 suppliers, focusing on risk and finance modeling.
Ability to independently manage deliverables and communicate technical insights effectively in client-facing roles.
Exposure to Google Cloud Platform (GCP) is a strong advantage.