Data Scientist Intern

With deep engineering expertise and leading design, emulation, and test solutions, our ~16,800 employees help customers in over 100 countries accelerate innovation across communications, automotive, energy, quantum, aerospace and defense, semiconductor, and artificial intelligence markets.

Learn more about what we do. At Keysight, people come together to explore new ideas, challenge what's possible, and advance the technologies defining the future.

Here, you'll find opportunities to do your best work, take your career further, and thrive in an award-winning culture. Learn more about our benefits.

Responsibilities We are seeking a highly motivated Data Scientist, Intern  to join our EDA Business Operations team. This role offers a unique opportunity to gain real-world experience at the intersection of data analytics, business strategy, and technology innovation.

You will work closely with other EDA data scientists to transform complex data into actionable insights by providing software centric reporting and dashboard designs that drive strategic knowledge around growth and customer success.

What You'll Gain • Hands-on experience with real-world business analytic projects in a leading technology company. • Exposure to strategic decision-making in an EDA software domain.

• Mentorship from experienced professionals in business development and data analytics. • Experience presenting findings to senior leadership Key Responsibilities: • Collaborate with cross-functional teams to gather, analyze, and visualize data related to orders, revenue, product adoption, and software market trends.

• Build and maintain dashboards and reports using Tableau, Snowflake, Salesforce, Excel, SQL, Python and more. • Assist in developing KPIs and metrics to track business performance across EDA initiatives.

• Support ad hoc data analysis requests to inform strategic planning and executive presentations. • Help automate data workflows and improve data quality and accessibility.

• Develop predictive models for division and forecasting Qualifications Required: • Currently pursuing a Bachelor's or Master's degree in Data Science, Business Analytics, Computer Science, Engineering, or a related field.

• Strong analytical skills and proficiency in SQL, Excel, and data visualization. • Excellent communication and presentation skills. • Ability to work independently and collaboratively in a fast-paced environment.

Preferred: • Previous experience working with Tableau applications (Prep, Desktop, Cloud/Server) • Familiarity with Python or R for data analysis is a plus.

• Interest or experience in the EDA industry, semiconductor design, or electronic test and measurement. • Exposure to CRM or ERP systems (e.g., Salesforce, SAP).

• Experience with cloud platforms (e.g., AWS, Azure) and data warehousing tools.