One team. Global challenges. Infinite opportunities. At Viasat, we’re on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We’re looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team.
What you'll do
Viasat is seeking a motivated Data Science Intern to join our Integration and Delivery organization. This internship provides hands-on experience working with large-scale datasets to support business, product, and network performance initiatives. The intern will collaborate with cross-functional teams to develop insights, build analytical models, and deliver data-driven recommendations that impact real-world satellite communications products and services.
The day-to-day
- Analyze large, complex datasets to identify trends, patterns, and business opportunities
- Develop and validate statistical models to support forecasting, optimization, and performance analysis
- Support data cleaning, feature engineering, and exploratory data analysis (EDA)
- Partner with Product, Engineering, and Operations teams to answer key business questions
- Document methodologies and present findings to team members and leadership
Internship Program Details:
You will work onsite at a Viasat office location for the duration of your internship. Viasat embraces a flexible work environment and onsite/hybrid work is determined by individual roles and teams.
Housing and relocation assistance are available to interns pending eligibility.
To ensure equity across our intern population, intern compensation is pre-determined based on a variety of factors including: role, location, and final graduation date. Intern compensation is non-negotiable
What you'll need
Education:
- Currently pursuing a Bachelor’s or Master’s (preferred) degree in: Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field
- To be eligible for this position your final graduation date must fall between December 2026 and August 2027
Internship Dates: You must be available to work 40 hours/week for the full duration of the internship program as outlined in the cohort dates below. Limited exceptions may be granted. Viasat offers two options based on semester and quarter academic calendars:
- Cohort 1: May 18, 2026 – August 14, 2026
- Cohort 2: June 22, 2026 – September 18, 2026
Additional:
- Strong proficiency in Python for data analysis
- Experience with SQL for querying relational databases
- Experience using data manipulation libraries such as NumPy, pandas, or Polars
- Coursework or project experience in statistics, machine learning, or data mining
What will help you on the job
- Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch)
- Experience with data visualization tools (e.g., matplotlib, seaborn, etc.)
- Familiarity with cloud platforms (AWS, GCP)
- Exposure to big data tools (Snowflake, BigQuery, etc.)
- Experience working with network/telemetry data
- Ability to communicate analytical findings clearly
Salary range
$20.91 - $56.97 / hourly. For specific work locations within San Jose, the San Francisco Bay area and New York City metropolitan area, the base pay range for this role is $25.96 - $67.07/ hourly
At Viasat, we consider many factors when it comes to compensation, including the scope of the position as well as your background and experience. Base pay may vary depending on job-related knowledge, skills, and experience. Additional cash or stock incentives may be provided as part of the compensation package, in addition to a range of medical, financial, and/or other benefits, dependent on the position offered. Learn more about Viasat’s comprehensive benefit offerings that are focused on your holistic health and wellness at careers.viasat.com/LifeAtViasat/Benefits.
EEO Statement
Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic. If you would like to request an accommodation on the basis of disability for completing this on-line application, please click here.
