Data Scientist
Equifax Inc. (company site, opens in a new tab)5–7 yrsTrivandrumHybridDirect career pageEst. 12–22 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and optimize predictive models and machine learning pipelines to support business strategy and customer decision points across the consumer lending lifecycle.
- Extract, clean, and feature-engineer large-scale structured and unstructured datasets to develop robust, reusable, and automated analytical solutions.
- Present technical findings and model performance to mid-level leadership and external stakeholders, and conduct code and model reviews to maintain governance standards.
Minimum Requirements
- Bachelor's or Master's degree in STEM (Data Science, Statistics, Computer Science, or related quantitative discipline).
- 5–7 years of hands-on experience in predictive modeling, statistical analysis, and machine learning deployment in real applications.
- Advanced proficiency in Python and SQL; experience with enterprise cloud platforms (GCP, AWS, or Azure).
- Work Experience Required: 5–7 years in relevant data science roles.
Ideal Candidate Profile
- Experienced in financial services data science domains such as credit risk, marketing analytics, or collections.
- Skilled in handling large-scale datasets using PySpark, BigQuery, Snowflake, or Hadoop platforms.
- Familiarity with Google Cloud Platform certifications and MLOps best practices including Git, CI/CD pipelines, and model governance.