Intern, Analytics & AI | Data Management

Intern, Analytics & AI | Data Management

Location: New York, NY

Start Date: June 1, 2026

EXL (NASDAQ: EXLS) is a global leader in data and AI, bringing 25+ years of proven expertise, helping enterprises transform and redefining what’s possible for our clients. We partner with leading companies in insurance, healthcare, banking and capital markets, retail, media and communications, and energy and infrastructure to reimagine business models, deliver measurable outcomes, and accelerate innovation.

At EXL, innovation isn't just a buzzword - it's how we solve complex challenges and create lasting value. By integrating cutting-edge technologies like machine learning, AI, and cloud computing, we enable our clients to stay ahead of the curve. Whether it's revolutionizing customer experiences, streamlining back-office operations, or uncovering new revenue streams, innovation fuels everything we do.

Headquartered in New York, NY, our team is over 60,000 strong across 6 continents. For more about EXL Service, visit https://www.exlservice.com/

Responsibilities:

Analytics & AI

• Support EXL’s Analytics or Data Management team in executing end-to-end data lifecycle activities including data acquisition, profiling, cleansing, transformation, and governance.
• Assist in maintaining and improving data quality frameworks, metadata repositories, and data lineage documentation across client and internal systems.
• Collaborate with data engineers and business analysts to design efficient data pipelines and ensure consistent data standards across platforms.
• Participate in project discussions to understand business requirements and translate them into actionable data management tasks and process improvements.

Data Management

• Support EXL’s Data Management team in executing end-to-end data lifecycle activities including data acquisition, profiling, cleansing, transformation, and governance.
• Assist in maintaining and improving data quality frameworks, metadata repositories, and data lineage documentation across client and internal systems.
• Collaborate with data engineers and business analysts to design efficient data pipelines and ensure consistent data standards across platforms.
• Participate in project discussions to understand business requirements and translate them into actionable data management tasks and process improvements.

Qualifications:

• Currently pursuing a Bachelor’s degree (Junior or Senior year) or Master’s degree in Data Science, Computer Science, Information Systems, Statistics, Engineering, or a related discipline.
• Strong understanding of data management, analytics, AI, or data science principles including data modeling, integration, and governance.
• Hands-on experience or coursework in SQL, Python, data visualization (Tableau, Power BI), and familiarity with cloud platforms (AWS, Azure, or GCP) is preferred.
• Excellent attention to detail with strong problem-solving and analytical thinking skills.
• Effective communicator with the ability to collaborate across technical and business teams in a fast-paced, client-driven environment.