Equifax
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Thiruvananthapuram · On-site · 5-8 Yrs · 1 day ago
Business consulting · 10000+ Employees · Atlanta, US
Headquartered in Atlanta, Ga., Equifax operates or has investments in 24 countries in North America, Central and South America, Europe and the Asia Pacific region. It is a member of Standard & Poor's (S&P) 500® Index, and its common stock is traded on the New York Stock Exchange (NYSE) under the symbol EFX. For more information, please visit www.equifax.com.
Hiring: Engineering
What employees say
+ Positive team dynamics and work environment, but project demands and schedules are inconsistent across accounts.
− While the company has a great work environment and a strong team culture, work-life balance varies significantly depending on the project. Additionally, recent layoffs have impacte
More reviews on the company profile.
Interview experience · Graduate Student
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Easy difficulty · Mumbai · 57 reports
More interview insightsJob description
Overview
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.
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.
- 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).
- 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.
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Data Scientist at Equifax?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Equifax may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Scientist role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Scientist remote or on-site in Thiruvananthapuram, Keralam?
- This listing is marked on_site with location Thiruvananthapuram, Keralam. Confirm details on the job description before applying.
- What skills matter for this Data Scientist role at Equifax?
- This is a mid-level Data Scientist role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.