As an Accolade Data Science Intern, you will be:

• Using a combination of traditional machine learning and deep learning tools to build models that will affect millions of Accolade members, leveraging our industry-leading healthcare data
• Gaining experience in working with cutting edge machine learning software libraries under the mentorship of expert peers
• Working with various big data technologies at the enterprise scale, including Python computing ecosystem, Hadoop and Spark, AWS/GCP cloud computing stack
• Working with a close-knit team of scientists and software engineers on some of the most exciting problems at the intersection of AI and healthcare
• Use various big data tools and modern machine learning/neural network technologies to unleash your ideas on our unique consumer health data
• Building ML models that will affect the well-being of millions of our members by helping them to make better decisions regarding their healthcare choices
• Gaining valuable first-hand industry experience in applying your textbook math, machine learning, and coding knowledge to solve real-world problems.

• Students who are pursuing a Bachelor’s or graduate degree in computer science, math, and statistics, or natural sciences
• Experience in Python programming and practical knowledge of Machine Learning fundamentals is a must
• Prior experience with healthcare data is a plus
• Eager to work in a face-paced agile environment

Accolade connects the widest array of personal health data and programs to present a single point of entry to the most effective health and benefits resources using a unique blend of compassionate advisors, clinical experts and intelligent technologies.