Data Scientist - Intermediate

About the role

As a Data Scientist , you will have the opportunity to manipulate large data sets, integrate diverse data sources, data types and data structures into solutions under management guidance. You will build experience developing analytical approaches to meet business requirements, which involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development.

What you'll do

• Independently validate models across multiple financial domains, including consumer and commercial credit risk, marketing, fraud
• Utilize Google Cloud Platform (GCP) to enhance efficiency by automating workflows and improving process integration
• Execute AI validation projects, contributing to their conceptualization, planning, and successful implementation in alignment with organizational goals
• Engage with various departments to ensure cohesive strategy implementation, sharing insights, and fostering a collaborative work environment
• Contribute expertise to the development of policies that guide AI practices and model risk management, ensuring regulatory compliance and ethical standards

What you need

• 2–5 years in data science & ai
• Machine learning
• SQL
• Scikit-learn
• Python
• NLP
• Deep learning
• B.Tech or B.E.

Good to have

• AWS
• TensorFlow
• GCP
• Credit risk
• Performance testing
• Azure