Data Scientist

Equifax; Thiruvananthapuram; Hybrid; INR 1,800,000 - 3,400,000; Full time

Job summary

Equifax is seeking an experienced Data Scientist to join the Analytical Capabilities team in Trivandrum. You will design, build, and optimize models and data products, leveraging Python, SQL, and cloud platforms to influence business decisions and drive value for consumers and clients.

You will work with large-scale datasets, translate requirements into scalable analytics, and communicate results to leadership while ensuring governance and reproducibility.

Qualifications

• 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).

Responsibilities

• 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 standards.

Skills

Python

SQL

Data analysis

Machine learning

Model deployment

PySpark

Education

Bachelor's degree in STEM

Master's degree in STEM

Tools

GCP

AWS

Azure

BigQuery

Snowflake

Hadoop

Git

CI/CD

MLOps

Job description

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.

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 offerings. In this role, you will build innovative tools and perform in-depth analysis to support customer decision points across the consumer lending lifecycle. By leveraging advanced mathematical and statistical approaches, you will develop robust, reusable, and highly automated solutions.

In this position, you will analyze complex data sources using various programming languages to inform business strategy and deliver insights for both internal and external stakeholders. You will develop models to test hypotheses and quantify the impact of decisions under various scenarios. Your ability to communicate technical results will be essential in driving profitability and translating business requirements into scalable, data-driven products.

What 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 standards.

What 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.

We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Primary Location:

IND-Trivandrum-Equifax Analytics-PEC

Function:

Function - Data and Analytics

Schedule:

Full time