Data & AI Analytics Intern

ACS•Washington, DC

1d•$24 - $29•Hybrid

About The Position

This position will be a forward-thinking Data & AI Analytics Intern to join our Data Engineering team, working at the intersection of AI-driven business intelligence, Snowflake-based data solutions, and modern analytics engineering. This role offers hands-on experience with cutting-edge AI features, scalable data platforms, and real-world business problems. The candidate should be passionate about data, analytics, and emerging AI technologies.

Requirements

Pursuing a degree in Data Science, Computer Science, Business Analytics, Information Systems, or a related field.
Familiarity with SQL, Snowflake, and cloud data plat
Exposure to AI/ML concepts, especially generative AI and natural language processing.
Experience with BI tools (e.g., Qlik, Tableau) and data visualization
Understanding of basic machine learning tools (e.g., Python, with Langflow & Lang Chain).
Strong analytical thinking, problem-solving, and communication skills.
Currently pursuing a major in Data Science, Computer Science, Business Analytics, Information Systems, or a related field

Responsibilities

Prototype AI-powered analytics use cases, including natural language querying, Cortex Agents, and multimodal data
Assist in designing and optimizing data pipelines using Snowflake, Talend, and SQL to support analytics workflows.
Integrate AI/ML models into BI dashboards and workflows to enhance predictive analytics and decision-making.
Collaborate with data engineers, analysts, and business stakeholders to deliver actionable insights via tools like Qlik, Tableau, or Looker.
Document findings, best practices, and processes for deploying Snowflake Intelligence and AI-enhanced analytics across departments.
Support training and enablement efforts for non-technical users to adopt AI-powered tools.
Analyze performance, accuracy, and user experience of AI features and suggest improvements.

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