Senior AI Data Scientist - Agentic AI and Model Risk Management

Senior Agentic AI Data Scientist

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.

The Senior Agentic AI Data Scientist will join the Model Risk Management group to ensure the accuracy and reliability of AI agents and models. In this role, you will lead AI validation projects, design evaluation and monitoring strategies for GenAI workflows, and assess risks such as hallucinations and prompt injection. Additionally, you will mentor team members, develop policies for AI governance, and implement innovative validation approaches for complex models on Google Cloud Platform. You will leverage your expertise in Data Science and machine learning to drive business insights while ensuring regulatory compliance and ethical standards.

What You’ll Do:

• Drive AI validation projects by conceptualizing, planning, and executing them to ensure their successful implementation and alignment with organizational goals.

• Contribute expertise to the development of policies that guide AI practices and model risk management, ensuring regulatory compliance and ethical standards. Stay updated on the evolving regulatory landscape around AI and ML

• Mentor and develop team members, fostering a culture of collaboration and building a robust, knowledgeable team.

• Design and execute specialized evaluation and monitoring strategies to assess GenAI workflows, focusing on multi-step reasoning, tool-use reliability, and "looping" risks where agents may fail in autonomous tasks.

• Critically evaluate and monitor GenAI-specific risks, including hallucinations, prompt injection vulnerability, and data leakage, ensuring that mitigation strategies (such as guardrails and RAG-based grounding) are robust and effective.

• Conduct research on emerging evaluators (e.g., "LLM-as-a-judge") and develop benchmarking standards to systematically assess GenAI application outputs, ensuring the system performs reliably on unstructured data where traditional statistical profiles do not apply.

• Develop and execute comprehensive stress-testing protocols to assess GenAI soundness and identify potential risks.

• Critically assess the completeness and accuracy of GenAI development documentation, code, and marketing materials.

• Develop and implement innovative validation approaches for complex and nontraditional models, including those with unstructured data and unique risk profiles.

• Develop AI Agent tools to automate the retrieval, wrangling, and analysis of data.

• Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analysis, and develop deployable solutions with guidance from more senior resources. 

• Develop and deploy AI and ML solutions on Google Cloud Platforms.

• Utilize massive data sources to craft business insights and features for innovative solutions.

• Understand diverse data sources, both structured and unstructured.

What experience you need

• 5+ years of relevant experience in Data Science and/or AI/ML.

• M.S. or higher degree required in Computer Science; or Data Science, Analytics, Mathematics, Statistics, Economics, Operations Research, Industrial Engineering or a substantially related field of study if accompanied by strong computer science principles and skills.

• Machine learning and deep learning fundamentals, natural language processing, cloud computing, multi-agent systems understanding, data analysis, programming proficiency, and a grasp of ethical considerations in AI development.

• Foundational knowledge of Generative AI, with relevant coursework. Must stay updated on latest trends and regulations in this field.

• Experience with agents frameworks (preferably Langchain, LangGraph), proprietary and/or open source LLMs, prompt engineering, RAG and Vector Databases.

• Proficient in Python and SQL.

• Strong interpersonal skills with the ability to lead teams, manage client relationships, and collaborate effectively with partners.

• Experience collaborating with partners, stakeholders and teams across multiple geographies and levels of the organization

• Ability to articulate complex concepts clearly and effectively to diverse stakeholders, ensuring understanding across various levels of technical proficiency.

• Minimum of 1 year of experience in supervising projects and team members, demonstrating ability to successfully manage multiple projects and stakeholders simultaneously.

What could set you apart

• Experience in developing, validating or implementing Gen AI models

• Exposure to Agentic AI.

• Exposure to Gen AI Governance.

• Evaluation, testing and monitoring of GenAI/Agents.

• Google Cloud Platform experience.

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

Experience Level

Senior Level