Data Scientist - Specialist

Equifax
Pune/Pimpri-Chinchwad Area

The Data Scientist - Specialist at Equifax leads the Model Risk Management team in validating statistical and advanced AI models. This strategic role combines hands-on technical oversight, team mentorship, and advisory duties regarding risk governance and regulatory compliance. Candidates require 7+ years of quantitative experience, proven leadership skills, and expertise in emerging technologies like generative and agentic AI.

What You’ll Do

  • Lead, manage, and mentor a high-performing team of model validators, ensuring their professional growth and development.
  • Oversee the execution of multiple complex validation projects simultaneously, from test design to final delivery and communication.
  • Foster a culture of critical thinking, continuous improvement, and effective risk management within the team.
  • Collaborate with global partners to supervise validation projects, ensuring a consistent and technically sound approach to AI/Model Risk Management across non-direct reporting lines
  • Perform and lead independent, hands-on model validations, including deep-dive analysis of model design, performance, and implementation.
  • Develop and execute comprehensive validation test designs to assess model soundness and identify potential risks.
  • Critically assess the completeness and accuracy of model documentation, code, and marketing materials.
  • Conduct deep-dive research on emerging analytical techniques, with a particular focus on validating models using generative AI and agentic AI.
  • Develop and implement innovative validation approaches for complex and nontraditional models, including those with unstructured data and unique risk profiles.
  • Serve as a trusted advisor to model developers and business owners on model design, development, and risk mitigation strategies.
  • Review and provide guidance on model monitoring plans and ongoing performance reports.
  • Drive the enhancement of Model Risk Management procedures and standards to align with evolving regulatory requirements and industry best practices.
  • Collaborate with key stakeholders across the organization, including marketing, technology, legal, compliance, and business owners, to ensure a robust model risk governance framework.
  • Respond to and manage inquiries from clients, internal auditors, and regulators regarding model risk matters.

What Experience You Need

  • Master’s degree in a quantitative field such as statistics, data science, computer science, mathematics, economics, or finance.
  • 7+ years of industry experience in predictive modeling, data science, or a related quantitative field. Prior experience with credit risk model development and/or validation is highly preferred.
  • A minimum of 3 years of experience managing a highly talented team with 6 or more direct reports is preferred.
  • Strong knowledge of and hands-on experience with either advanced forecasting analytics (e.g., logistic regression, time series modeling, ML classification models)) or advanced machine learning techniques including generative AI and agentic AI.
  • Extensive experience with Big Data environments and advanced computational processes.
  • Demonstrated experience with model risk management and/or compliance is highly preferred.
  • Exceptional critical thinking, problem-solving, and analytical skills.
  • Proven ability to quickly grasp complex concepts and identify potential model issues or validation gaps.
  • Excellent interpersonal, networking, verbal, and written communication skills, with a proven ability to write and edit high-quality technical reports.
  • Proficiency with programming languages such as SAS, SQL, R, Python, Scala, and Spark.
  • Hands-on experience with UNIX/LINUX and Google cloud environments.
  • Highly detail-oriented, proactive, and efficient.

What Could Set You Apart

  • 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, or AWS.
  • Exposure to AI agents, multi-agents and/or Agentic AI Frameworks.
  • Excellent communication and presentation skills.

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Questions about this job

How do I apply for the Data Scientist - Specialist job at Equifax?

Use the apply link on this page: you apply directly with Equifax on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does Equifax want for this Data Scientist - Specialist role?

The job description asks for Master’s degree in a quantitative field such as statistics, data science, computer science, mathematics, economics, or finance., 7+ years of industry experience in predictive modeling, data science, or a related quantitative field., Strong knowledge of and hands-on experience with either advanced forecasting analytics (e.g., logistic regression, time series modeling, ML classification models)) or advanced machine learning techniques including generative AI and agentic AI., Extensive experience with Big Data environments and advanced computational processes., Exceptional critical thinking, problem-solving, and analytical skills., Proven ability to quickly grasp complex concepts and identify potential model issues or validation gaps., Excellent interpersonal, networking, verbal, and written communication skills, with a proven ability to write and edit high-quality technical reports. and Proficiency with programming languages such as SAS, SQL, R, Python, Scala, and Spark.. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at Equifax?

Apply to the Equifax roles that match your experience, and tailor your resume to each job description: for this role that means showing Master’s degree in a quantitative field such as statistics, data science, computer science, mathematics, economics, or finance., 7+ years of industry experience in predictive modeling, data science, or a related quantitative field., Strong knowledge of and hands-on experience with either advanced forecasting analytics (e.g., logistic regression, time series modeling, ML classification models)) or advanced machine learning techniques including generative AI and agentic AI.. A resume that matches the job's own keywords is more likely to get past screening. Fitboard scores your resume against this exact job for free.

Is this Data Scientist - Specialist job remote or onsite?

This is based in Pune/Pimpri-Chinchwad Area.

Is it free to apply? Does Fitboard charge anything?

Applying is free: you apply directly with Equifax, and this job page and its apply link cost nothing. Checking your resume against this job is free too, with 3 free scans when you sign in and no credit card needed.

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