Equifax - Data Scientist - Predictive Modeling in Thiruvananthapuram, भारत

About the job:We are seeking an experienced and driven Data Science expert to join the Analytical Capabilities team, where you will help power Equifax's AI and analytical https://jobeax.com/link/t9d1ja7RBLwB6uIY this role, you will build innovative tools and perform in-depth analysis to support customer decision points across the consumer lending https://jobeax.com/link/i7sEt3Tf21hU0D2I leveraging advanced mathematical and statistical approaches, you will develop robust, reusable, and highly automated https://jobeax.com/link/VwEt6uQiDPyT8hTD this position, you will analyze complex data sources using various programming languages to inform business strategy and deliver insights for both internal and external https://jobeax.com/link/skfUUcsqsg5rGcjN will develop models to test hypotheses and quantify the impact of decisions under various https://jobeax.com/link/OznprC5fGObwASvZ ability to communicate technical results will be essential in driving profitability and translating business requirements into scalable, data-driven https://jobeax.com/link/Uzkv8M0GLewiuc3s you'll do:- Design, build, and optimize predictive models and machine learning pipelines to support business strategy and customer decision points.- Extract, clean, and feature-engineer large-scale structured and unstructured datasets using statistical and computing tools.- Translate complex business requirements into automated, reusable analytical components and scalable data products.- Present technical findings, model performance metrics, and business impact to mid-level leadership and external stakeholders.- Conduct code and model reviews for peer and junior data scientists to maintain high accuracy, reproducibility, and governance https://jobeax.com/link/Gipe3k6ZpkZRzekd experience you need:- Bachelor's or Master's degree in a STEM field (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-world applications.- Advanced proficiency in Python and SQL for data manipulation, analysis, and algorithm development.- Demonstrated experience in feature development, model performance evaluation, and hyperparameter optimization.- Practical hands-on experience working within enterprise cloud platforms (GCP, AWS, or Azure).What could set you apart:- Prior domain experience in financial services, specifically credit risk, marketing analytics, or collections.- Experience handling large-scale datasets using PySpark, BigQuery, Snowflake, or Hadoop platforms.- Google Cloud Platform (GCP) certifications (e.g., Professional Data Engineer or Professional Machine Learning Engineer).- Proficiency with Git version control, CI/CD pipelines, and MLOps best practices. (ref:hirist.tech)