Data Science Intern

The Standard • Portland, OR

1d • $25 - $29

About The Position

The next part of your journey is right around the corner — with The Standard. A genuine desire to make a difference in the lives of others is the foundation for everything we do. With a customer-first mindset and an intentional focus on building strong teams, we’ve been able to uphold our legacy of financial stability while investing in new, innovative technologies that support the needs of our customers. Our high-performance culture focused on operational excellence thrives thanks to remarkable people united by compassion and a customer-first commitment. Are you ready to make a difference? The Standard is seeking a Data Science Intern to join the AI Delivery team and contribute to the development of AI-powered workflow products that drive measurable business value across the enterprise. This internship is designed for high-potential students pursuing degrees in Data Science, Computer Science, Statistics, Applied Mathematics, or related fields who want hands-on experience building and evaluating real-world machine learning systems in a regulated industry environment. As a Data Science Intern, you will partner with Data Scientists, AI / ML Engineers, Software Engineers, and Product Owners to support model development, experimentation, evaluation, and data analysis. You will gain exposure to production-grade machine learning workflows, model governance, and enterprise AI systems—moving beyond academic exercises into business-impacting work. This role is ideal for individuals who are curious, analytical, collaborative, and excited about applying AI responsibly at scale.

Requirements

• EDUCATION: Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related technical field.
• EXPERIENCE: Prior coursework, research, or project experience in machine learning or data analysis. Internship or applied experience is a plus.
• Strong foundation in statistics, probability, and machine learning fundamentals (classification, regression, model evaluation).
• Proficiency in Python and common data science libraries (e.g., pandas, numpy, scikit-learn).
• Familiarity with data manipulation and querying (e.g., SQL).
• Exposure to ML experimentation workflows, version control (e.g., Git), and reproducible analysis practices.
• Ability to translate business questions into analytical approaches with guidance.
• Strong written and verbal communication skills.
• Intellectual curiosity, attention to detail, and a desire to learn in a fast-paced, collaborative environment.

Nice To Haves

• Interest in applied AI systems, including NLP or generative AI concepts, is a plus.

Responsibilities

• support model development
• experimentation
• evaluation
• data analysis

Benefits

• Real-world experiences and meaningful projects that support your career goals provided by a supportive and responsive management team eager to help with skills development
• Opportunities to build relationships and broaden industry knowledge through virtual networking with leaders and team members across the company
• Three days of paid time off and paid company holidays during your internship period
• A virtual first day orientation and the equipment necessary (e.g., laptop, monitors, headset) for a successful internship experience

What This Job Offers

• Career Level: Intern