Comcast Data Scientist Intern

Comcast brings together the best in media and technology. We drive innovation to create the world’s best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.

Job Summary

This job code is to be used for internships and co-ops. It is not to be used for temporary or contract workers.

Job Description

Program Overview  

Discover opportunities designed to set your career in motion! The Comcast internship/co-op program will help you cultivate meaningful relationships, develop strong interpersonal and business skills, gain exposure to the day-to-day operations of a Fortune 40 media and technology company, and receive mentorship opportunities to expand your professional network.  

This program immerses students into the daily operation of a contemporary media and technology company while working side-by-side with Comcast’s top innovators. The student becomes an integral part of the Comcast team working on creative, innovative, and thought-provoking projects within various business units. 

Organization & Team Overview 

Enterprise Business Intelligence is a center of excellence comprised of Engineers, Analysts, Scientists, and Machine Learning experts working to translate Comcast’s data into actionable intelligence that drives profitable growth for the company. As a member of this team you’ll be at the forefront of developing data driven strategies to address business problems. 

 

Role Description 

Responsible for extracting knowledge and insights from high volume, high dimensional data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, which may include the use of advanced statistical analysis, algorithms, predictive modeling, experimentation and pattern recognition to create solutions that enable enhanced business performance. Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. The team is composed of experts in artificial intelligence, deep learning, data-structures, algorithms, distributed systems, and system performance and analysis. The systems that the team builds get used across the multitude of Company data science-based services and deployments. Works independently with minimal-to-no supervision while also demonstrating the ability to lead projects and initiatives autonomously.  

What are some interesting problems the student will work on?  

In your role you will develop predictive models that power systems and provide insights to business leaders for critical decisions. You will measure and quantify the impact of business strategies on key business performance indicators. 

Where can this student make an impact?  

You will be working on exciting new technology that interjects AI and Machine Learning capabilities into core business processes to drive profitable growth for the company. 

Job Responsibilities 

Responsibilities include but are not limited to:  

• Interacts with product and service teams to identify questions and issues for data analysis and experiments. 

• Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. 

• Uses analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools and machine learning techniques and statistics (e.g., predictive models, lifetime value, propensity models). 

• Develops and executes statistical and mathematical solutions to business problems to support larger initiatives under the direction of senior team members. 

• Creates data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets.

• Works with large, noisy, and complex datasets to produce analysis of historical patterns in customer behaviors and product performance from complex real-world behavioral data. 

• Develops and deploys predictive models based on historical data that provide future predictions about customer behavior. 

• Constructs forecasts, recommendations and strategic/tactical plans based on applying data science techniques to business data. 

• Researches and applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions. 

• Creates deliverables and presentations that report methodology and results of analysis. 

• Builds customer centric models and optimization tools to support large scale projects that utilize online and offline data, structured and unstructured data, set top box data and media/behavioral/attitudinal data. 

• Consistent exercise of independent judgment and discretion in matters of significance. 

• Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary. 

• Other duties and responsibilities as assigned. 

 

Preferred Skills 

• Proficiency with Python, PySpark, and ML programming frameworks 

• Proficiency retrieving data using SQL 

• Understanding of statistical foundations for Experimentation 

• Understanding of predictive modeling concepts 

• Ability to articulate complex ideas in a simplified form 

• Understanding of data visualization concepts and programming frameworks 

• Preferred Majors: Data Science, Statistics, Mathematics, Econometrics 

Minimum Qualifications and Eligibility Requirements 

• Currently pursuing a bachelor’s degree from a United States-based college or university  

• Rising Junior or Rising Senior only (must have a graduation date between Winter 2025- Spring 2027)  

• Returning to degree-program (for at least a semester) after the completion of the summer internship (meaning, student must be returning to school for Fall 2025 semester before graduating) 

• Available to work 40 hours per week over the course of the summer program- June 2 through August 15, 2025 

• Authorized to work in the United States with no current or future sponsorship needs 

• Available to report in-person to the work location on the job posting (unless virtual offering) 

• Comcast is an Affirmative Action/EEO employer M/F/D/V 

Compensation

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work.    Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus.  Additionally, Comcast provides best-in-class Benefits to eligible employees.  We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most.  That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. 

The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.

Education

Certifications (if applicable)

Relative Work Experience

0-2 Years

Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.