Intern

EXLSan Francisco, CA

About The Position

Intern, Analytics & AI Solutions 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/

Requirements

  • 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 principles including data modeling, integration, and governance.
  • 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.

Nice To Haves

  • Hands-on experience or coursework in SQL, Python, data visualization (Tableau, Power BI), and familiarity with cloud platforms (AWS, Azure, or GCP) is preferred.

Responsibilities

  • Contribute to the design, structure, and delivery of advanced analytics and AI-driven solutions that address complex business challenges.
  • Develop a deep understanding of data ecosystems, digital platforms, and information assets to identify opportunities for insight and automation.
  • Discover patterns, trends, and predictive signals in large datasets using statistical modeling, machine learning, and AI techniques.
  • Apply data segmentation, forecasting, and optimization methods to improve decision-making and operational efficiency for clients.
  • Support the development of AI models, intelligent dashboards, and automated analytics pipelines that enhance business outcomes.
  • Communicate analytical findings and AI-enabled insights through clear visualizations, storytelling, and presentations to senior and C-suite stakeholders.
  • Collaborate cross-functionally with data scientists, engineers, and business consultants to translate analytical outcomes into scalable business impact.

Benefits

  • Hands-on training in the latest data management tools, technologies, and methodologies
  • Structured mentorship program
  • Ongoing guidance and career coaching
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