Data & AI Analytics Intern

Department Summary:

The Data Engineering team builds a unified scalable and intelligent data ecosystem that empowers decision-making and drives business value across the Pubs enterprise. Our work spans analytics engineering data pipeline development and data enablementincluding governance modeling and AI-driven business intelligence. By integrating modern tools like Snowflake and advanced AI capabilities we accelerate innovation and deliver trusted insights for stakeholders.

Position Summary:

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.

Key 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.

Key Qualifications:

• 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.

Education Requirements:
The Ideal candidate will be rising junior or rising senior pursing a major in Data Science Computer Science Business Analytics Information Systems or a related field.

Required Qualifications:
Currently pursuing a major in Data Science Computer Science Business Analytics Information Systems or a related field

Pay Transparency: This role is based in our Washington D.C. office. The following are the intended hourly rates for this part time/nonexempt role: Rising Junior-$24.00; Rising Senior-$25.00; Current Grad/PhD Student- $29.00.

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Any actual offer of employment reflecting the total compensation package and benefits will be made in the sole discretion of ACS. ACS reserves the right to amend or modify its employment benefits and compensation structure at any time.

*This position will be primarily based in the Washington D.C. (or applicable) office. ACS employees work a hybrid work schedule consisting of working onsite two days per week. Schedule flexibility may be required for this role to support in-office activities. While always welcome to work in the office employees may work the other three days of the week from a location of their choice.

Required Experience:

Intern