AI & Data Science Intern

About the role

We are seeking a Generative AI and Data Science Intern to join our AI & Data Science team. This position will report directly to a senior AI & Data Science Team Member.

Responsibilities

• Develop predictive models using tools in the Azure platform (eg. Microsoft Fabric, Azure ML Studio, etc.)
• Write data preparation and analysis routines in Python using the pandas and scikit-learn packages
• Participate in dataset design and statistical modeling discussions
• Integrate process control solutions with data science models
• Design and deploy GenAI solutions and apps into production enterprise environments
• Collaborate on full-stack development for small applications and efficient UI/UX workflow building
• Apply and share best practices for designing and delivering GenAI hybrid search

Qualifications

• Enrollment at an accredited college or university pursuing or have recently completed a Bachelor’s, Master’s, PhD, or Post-Doctoral degree in Data Science, Computer Science, AI, Software Engineering, Computational Chemistry, or other a very similar field
• 2+ years of programming experience with Python including experience using pandas and scikit-learn packages
• 1+ year practical experience in data science building predictive ML models (e.g. having done feature selection and engineering, model selection and hyperparameter tuning, data cleansing, data analysis)
• 1+ yr practical experience developing GenAI applications (using RAG, hybrid search, building UI for applications, etc.)

Preferred

• Currently enrolled in or who have completed a Master’s, PhD, or Post-Doctoral program
• Prior experience working in Enterprise environments at other companies, especially building and deploying apps and GenAI agents into production using platforms such as Azure, Google Cloud, or AWS
• Minimum GPA of 3.0 or above
• High proficiency in analytical, quantitative, and problem-solving capabilities
• Strong leadership qualities in taking initiative to drive results
• Motivation to tackle complex, real-life business problems and build a robust professional resume

Benefits

Competitive Compensation
Comprehensive Benefits Packages
401(k) Match
Employee Stock Purchase Program
Tuition Reimbursement
Commute Benefits
Learning and Development Opportunities
Strong Inclusion and Diversity Initiatives
Company-paid Volunteer Day