Analytics & Generative AI Intern

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About this job

Company Description

Experian is the world’s leading global information services company, unlocking the power of data to create more opportunities for consumers, businesses and society. We are thrilled to share that FORTUNE has named Experian one of the 100 Best Companies to work for. In addition, for the last five years we’ve been named in the 100 “World’s Most Innovative Companies” by Forbes Magazine.

Job Description

Experian’s Summer Internship Program is a unique opportunity for students across the country to gain hands-on work experience in our innovative global company. Our interns work alongside Experian employees to tackle meaningful projects and gain valuable skills in their chosen field. During our summer internship program, interns will have access to the latest technologies and challenging work. As a summer intern, you’ll learn about our exciting financial inclusion products and programs, experience philanthropic events that make us a force for good, and network across our global business units. Get ready to discover the unexpected as a part of our #uniquelyexperian summer internship program.

The Data Science Intern will play a critical role in helping with early-stage generative AI applications in the credit risk space. The role requires the candidate to have a strong coding back-ground, being familiar with advances in generative AI, and as a plus knowing the credit risk space a bit. The candidate should have played with applications of ChatGPT and similar tools and have an idea what those tools allow for and for what type of problems they tend to work. The core responsibilities will include but are not limited to:

• Implementing prototypes of various Data Science Components/Apps
  • Writing Python/Spark SQL code to implement prototypes from scratch
  • Working closely with the core engineering team to move forward model build of the analytics products
  • Suggesting ML techniques
  • Finding generative AI applications and implementing them
  • Building enhanced user-friendly dashboards for various steps in the pipeline
  • Assisting in connecting new data assets to our end-to-end modeling platform
  • Building highly specialized predictive models and overall process flows
  • Visualizing analytics with Tableau
• Applying Generative AI Knowledge to solve problems for clients and internal users
  • Usage of Advanced machine learning techniques to solve ad-hoc client problems
  • Using the ChatGPT API to integrate generative AI into our processes
  • Bringing new ideas how to approach general problems in credit risk management
  • Having fundamental experience in coding complex frameworks from scratch
  • Writing data pipelines / ETL for non-standard or new modeling use cases
  • Build new dashboards and reports to provide insights to clients on model performance and impact, leveraging our proprietary BI toolkit as well as Tableau
  • Helping document methodologies, tool usage and business logic
  • Testing new product features and algorithms and verify accurate implementation ahead of live releases to our global client base
  • Implementing bug-fixes and upgrades to Experian methodologies in credit-related business logic

Qualifications

• Currently pursuing a Master's degree in quantitative field, with a strong preference for computer science or Data Analytics is required
• Be returning to school in the Fall of 2024 to complete degree program
• Fluent in at least one traditional programming language
• Familiar with cutting edge generative AI tools
• Familiar with Python PySpark and SparkSQL and familiarity with modern data science and engineering technologies in general and common ML frameworks such as (MLlib, pytorch, sklearn, tensorflow all valuable)
• Experience with scrapping data and parsing unstructured data
• Expertise in applied statistics and machine learning – advanced degrees in quantitative fields and/or professional experience in applied analytics are valuable
• Experience in financial services and credit modelling would be a plus
• Having experience with Tableau is a plus