AI & Analytics 2027 Intern

About the Role

As an AI Product Management & Analytics Intern, you will work alongside Product Managers, Data Scientists, Business Stakeholders, and Technology teams to identify business opportunities, define product requirements, analyze data, and help deliver AI-powered solutions that drive measurable business outcomes. Successful interns may have the opportunity to join Lennox Full-Time upon graduation. Relocation and/or travel may be required.

Key Responsibilities

Product Management & Business Analysis

• Support product discovery activities, including stakeholder interviews, requirement gathering, and user journey mapping.
• Assist in defining MVPs, user stories, acceptance criteria, and product roadmaps for AI initiatives.
• Help document business requirements and translate them into technical solutions.
• Collaborate with business and technology teams to prioritize opportunities and drive project execution.

Data Analytics & Insights

• Analyze business data to identify opportunities for process improvements, automation, and AI adoption.
• Develop dashboards and reports to measure adoption, business value, and operational KPIs.
• Create data visualizations and presentations that communicate insights to technical and non-technical audiences.
• Support data-driven decision-making through research, analysis, and reporting.

Artificial Intelligence & Innovation

• Evaluate Generative AI use cases and benchmark solutions against business requirements.
• Participate in the design, testing, and rollout of AI-powered tools, including chatbots, agent-assist solutions, content generation tools, and sales enablement applications.
• Support experimentation and proof-of-concept initiatives focused on emerging AI technologies.
• Research industry trends and best practices related to AI, analytics, and digital transformation.

User Experience & Continuous Improvement

• Conduct user research and gather feedback to support continuous product improvement.
• Assist with measuring user adoption, satisfaction, and business impact.
• Help identify opportunities to optimize processes, workflows, and customer experiences through technology.
• Support change management and communication efforts related to technology implementations.

Team & Project Support

• Collaborate with Product Managers, Data Scientists, Developers, and Business Stakeholders on strategic initiatives.
• Present project findings and recommendations to business and technology leaders.
• Support project planning, documentation, testing, and implementation activities.
• Participate in an end-of-summer capstone project showcasing key learnings and business impact.

Requirements & Tech Stack

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Analytics, Business Analytics, Information Systems, Industrial Engineering, Software Engineering, Management Information Systems (MIS), or a related field.
• Basic proficiency in Python, SQL, or similar analytical programming languages.
• Experience using data analysis and visualization tools such as Excel, Power BI, Tableau, or similar platforms.
• Understanding of AI, Machine Learning, or Generative AI concepts.
• Proficiency in Microsoft Office (Excel, PowerPoint, Teams).

Qualifications

• Strong analytical and problem-solving skills with the ability to interpret data and identify opportunities.
• Ability to translate business requirements into technical solutions.
• Strong written and verbal communication skills.
• Ability to work effectively in a cross-functional team environment.
• Strong attention to detail, organization, and project management skills.
• Self-starter with a growth mindset and eagerness to learn new technologies.

Preferred Qualifications

• Experience with Generative AI tools and applications.
• Hands-on experience with Python, SQL, Power BI, Tableau, or other analytics platforms.
• Understanding of machine learning, data science, or software development fundamentals.
• Exposure to product management concepts, including user stories, requirement gathering, and MVP development.
• Participation in hackathons, research projects, student organizations, or leadership programs.