Equifax

Data Scientist - Intermediate

IND-Pune-Equifax Analytics-PEC

Actively hiring, first seen by us 5 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Schedule: Full time
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Independently validate models for credit risk, marketing, fraud and account management
Automate workflows on Google Cloud Platform to improve efficiency
Run AI validation projects from conception through implementation
Work with departments to implement strategy and share insights
Contribute to policies on AI practices and model risk management

From the employer’s posting

Independently validate models across multiple financial domains, including consumer and commercial credit risk, marketing, fraud, account management

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

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

Education & alternatives

- 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.

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Posting record

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Actively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 30, 20265 days ago
Recorded sightings: 6
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 5

Early. Similar jobs usually come down between day 7 and day 55.

From 10,019 similar postings that came down. Coming down is not always a hire.

Equifax is hiring

17 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Data Scientist hiring is steady
Takes jobs down quickly
12% of open jobs were reposted

Hiring record

See how this role fits your experience

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Python
SQL
AWS
Azure
GCP
scikit-learn
TensorFlow

Where the posting names them

- 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.

- 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.

- 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.

- 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.

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Your next step

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Has Equifax posted this job before?

Yes. We’ve followed one other Data Scientist - Intermediate job there since September 2026. It came down after 34 days.

CastellanaCame down after 34 days, first seen Sep 22
This jobUp 5 days so far, first seen Oct 30

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025: $120,230
Expected change, 2025 to 2035: 34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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.

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.

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

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