AI Data Science Summer Analyst

Tempus AI•Chicago, IL

1d•Hybrid

About The Position

Tempus is seeking a highly qualified AI Data Science Summer Analyst to work with us for the summer of 2026. This internship is focused on applying data science and machine learning techniques to streamline business operations through automation. You will work within a dynamic team to help implement AI-driven solutions, specifically focusing on Large Language Models (LLMs) for document processing and data extraction. The goal of this role is to support the modernization of business workflows and improve operational efficiency through technical innovation. Our goal is to provide you with a comprehensive overview of what it’s like to work at Tempus and the chance to have a true impact. Our hope is that at the end of your internship you leave with a deeper understanding and appreciation for Tempus’ profound goals and mission; to connect an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

Requirements

Currently pursuing or recently completed a B.Sc. in Data Science, Computer Science, Statistics, Mathematics, or a related technical field.
Foundational understanding of machine learning principles and automated data processing.
Interest in applying AI to solve real-world business and operational challenges.
Strong programming skills in Python (fundamental libraries like pandas and NumPy).
Basic understanding of Natural Language Processing (NLP) and supervised learning.
Familiarity with SQL for data retrieval and manipulation.
Exposure to machine learning frameworks (e.g., Scikit-learn, PyTorch, or TensorFlow) through coursework or projects.
Knowledge of data visualization tools (e.g., Matplotlib, Seaborn).
Relevant academic projects or internships involving data analysis and machine learning.
Experience cleaning and organizing large datasets for analysis.
Strong communication skills and a collaborative mindset for working in a team environment.

Nice To Haves

Basic familiarity with version control (Git) is a plus.

Responsibilities

Support the design and testing of machine learning models and NLP algorithms for document processing.
Perform data cleaning, preprocessing, and exploratory data analysis (EDA) on diverse datasets.
Assist in the deployment of LLM-based tools to automate documentation and data extraction.
Collaborate with team members to integrate AI models into existing business and operational workflows.
Document technical workflows and help translate business requirements into technical tasks.