Data Science Intern – Summer 2026

About The Role

As a Data Science Intern at Ascent Cloud, you will collaborate closely with our Product and Engineering teams to build the next generation of intelligent, data-powered features across our platform. You’ll work with real-world product and usage data, contribute to our emerging data architecture, and help shape our long-term approach to AI, machine learning, and analytics.

This role is ideal for students who enjoy both machine learning and cloud-scale data engineering, and who want to play a meaningful part in designing the foundational systems and strategy that will power AI solutions across multiple applications.

What You’ll Do

• Explore and analyze datasets from multiple Ascent Cloud products to extract insights and identify ML-ready features
• Assist in designing scalable data structures, including data lake organization, semantic layers, and transformation pipelines
• Prototype machine learning models for forecasting, clustering, classification, recommendation engines, and related use cases
• Evaluate model performance and iterate on feature engineering and data quality improvements
• Contribute to early data platform efforts using AWS (S3, Glue, Athena, Redshift, SageMaker) as well as Snowflake and Databricks
• Help define how data should be organized, enriched, and governed to support analytics and AI applications
• Work closely with Product and Engineering leadership to define Ascent Cloud’s long-term data analytics and AI strategic framework
• Communicate findings and technical insights to a variety of audiences

What We’re Looking For

• Pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field
• Expected graduation around April/May 2026 or December 2026
• Strong foundations in machine learning concepts: classification, regression, clustering, time-series forecasting, evaluation metrics, etc.
• Experience with Python and common ML/data libraries (pandas, NumPy, scikit-learn)
• Familiarity with SQL and experience working with real datasets
• Interest or experience in cloud data tooling (AWS preferred), plus curiosity about or exposure to Snowflake or Databricks
• Understanding of data engineering fundamentals—pipelines, transformation workflows, modeling, and metadata/semantic layers
• Strong communication skills and ability to explain complex concepts clearly
• Curiosity, initiative, and a desire to help shape new AI/ML capabilities from the ground up

Why Ascent Cloud

• Work on impactful, forward-looking AI and analytics initiatives that will shape the next generation of our products
• Hands-on experience with AWS, Snowflake, Databricks, and modern data engineering concepts
• Mentorship from experienced engineers and product leaders
• Collaborative environment with broad exposure to strategic decision-making
• Ability to own meaningful projects that influence long-term platform direction