Data Scientist - Intermediate
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Before you apply
LocationIND-Pune-Equifax Analytics-PEC
Work modehybrid
Typefull-time
SeniorityMid
Experience2–5 yrs
DepartmentData and Analytics
Company size10,000+ people
PostedOct 30, 2026 · 6d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
2 - 5 years of experience in developing and/or validating models
Master’s degree or higher in Statistics, Mathematics, Engineering, Economics, Data Science, or other relevant discipline
Demonstrated expertise in AI techniques (Machine learning, natural language processing, deep learning) and their applications
Experience with ML libraries such as Scikit-learn, Statsmodels, TensorFlow, or equivalent
Advanced level programming in Python and SQL
Strong interpersonal skills with the ability to build effective relationships and collaborate effectively with partners
Experience collaborating with partners, stakeholders, and teams across multiple geographies and levels of the organization
In-depth knowledge and practical experience in credit risk, marketing and/or fraud models
Exposure to AI agents, multi-agents and/or Agentic AI Frameworks
Familiarity with regulatory requirements and guidelines related to Model Risk Management
Prior regulatory modeling development experience including ECL, Stress testing, CECL/IFRS9
First-hand experience on cloud-based platforms including GCP, Azure and/or AWS
Excellent communication and presentation skills
Skills
Python
SQL
Scikit-learn
Statsmodels
TensorFlow
GCP
Benefits
Health insurance
Paid time off
About the company
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.
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 will do
•
Independently validate models across multiple financial domains, including consumer and commercial credit risk, marketing, fraud, account management to ensure their accuracy, reliability, and compliance.
•
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.
•
Stay current with industry best practices and regulatory guidelines related to model risk management
What experience you need
•
2 - 5 years of experience in developing and/or validating models, with a good understanding of industry-specific requirements and challenges.
•
Master’s degree or higher in Statistics, Mathematics, Engineering, Economics, Data Science, or other relevant discipline, demonstrating a high level of expertise and commitment to the field
•
Demonstrated expertise in AI techniques (Machine learning, natural language processing, deep learning) and their applications.
•
Experience with ML libraries such as Scikit-learn, Statsmodels, TensorFlow, or equivalent is recommended.
•
Advanced level programming in Python and SQL.
•
Strong interpersonal skills with the ability to build effective relationships and collaborate effectively with partners.
•
Experience collaborating with partners, stakeholders, and teams across multiple geographies and levels of the organization.
•
In-depth knowledge and practical experience in credit risk, marketing and/or fraud models.
What could set you apart
•
Exposure to AI agents, multi-agents and/or Agentic AI Frameworks
•
Familiarity with regulatory requirements and guidelines related to Model Risk Management.
•
Prior regulatory modeling development experience including ECL, Stress testing, CECL/IFRS9.
•
First-hand experience on cloud-based platforms including GCP, Azure and/or AWS.
•
Excellent communication and presentation skills.
Benefits
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.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
IND-Pune-Equifax Analytics-PEC
Function:
Function - Data and Analytics
Schedule:
Full time