Data Scientist - Intermediate

Equifax Canada; Pune District; Hybrid; INR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Healthcare package

Hybrid work setting

Online learning platform

Paid time off

Job summary

Equifax in Pune, India is seeking a Data Scientist to validate and develop models across financial domains. You will translate requests into use cases, prepare training data, and iteratively build algorithms under guidance.

You’ll leverage Google Cloud Platform to automate workflows, collaborate with global partners, and contribute to model risk policies while ensuring regulatory compliance. This role blends analytics with real business impact.

Qualifications

• 2–5 years of experience in developing and/or validating models.
• Master's degree or higher in Statistics, Mathematics, Engineering, Economics, Data Science, or related field.
• Expertise in AI techniques (ML, NLP, DL) and their applications.
• Experience with ML libraries such as Scikit-learn, Statsmodels, TensorFlow, or equivalents.
• Advanced Python and SQL programming.
• Strong collaboration across geographies and stakeholders.
• In-depth knowledge of credit risk, marketing and/or fraud models.

Responsibilities

• Independently validate models across financial domains (credit risk, marketing, fraud, account management).
• Use Google Cloud Platform to automate workflows and improve integration.
• Lead AI validation projects from conceptualization to implementation.
• Collaborate with multiple departments to align strategy and share insights.
• Contribute to AI policy development and model risk management.
• Stay current with regulatory guidelines and best practices.

Skills

Python

SQL

Machine Learning

NLP

Deep Learning

Scikit-learn

Statsmodels

TensorFlow

GCP

Communication

Education

Master's degree in Statistics or related field

Tools

GCP

TensorFlow

Scikit-learn

Statsmodels

SQL

Python

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.

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?

Primary Location: IND-Pune-Equifax Analytics-PEC

Function: Function - Data and Analytics

Schedule: Full time