Forward Deployed Engineer Intern

About Arkham:

Arkham is a Data & AI platform that helps large enterprises:

• Unify fragmented systems and data
• Build a single source of trusted operational metrics
• Solve complex challenges with AI tailored to their operations

Teams at Circle K and Kimberly-Clark partner with us to deploy AI-powered solutions for sell-out forecasting, pricing and promo analysis, and automated order assignment. With Arkham, they achieve high-impact results fast, creating a strong foundation for long-term AI transformation.

About the Role

As a Forward Deployed Engineer Intern, you will learn what it takes to deliver real-world AI solutions inside large enterprises. Working closely with senior Data Scientists and Analytics Engineers, you will get hands-on experience across the full data science lifecycle, from exploration to production.

This is a learning-focused role designed for students and early-career talent who want to build practical AI and data science skills on high-impact projects.

What You'll Work On

• Support the development of forecasting, optimization, clustering, and anomaly detection models, etc.
• Assist in building Generative AI workflows and experimenting with AI Agents
• Help prepare data, run analyses, and validate model outputs
• Learn best practices for model monitoring, retraining, and governance
• Collaborate with senior team members on live client implementations

What We Look For

• Currently pursuing or recently completed a degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field
• No professional experience required; academic projects, internships, or personal projects are a plus
• Foundational knowledge of Python and SQL
• Familiarity with basic statistics and machine learning concepts
• Curiosity about Generative AI, LLMs, and AI agents
• Eagerness to learn, strong problem-solving mindset, and good communication skills

Why This Role Is Different

You don't just study models, you help build them. You will work directly with ambitious teams solving meaningful problems, gaining real experience and mentorship at the frontier of enterprise AI.