AI & Analytics Intern

Lennox (NYSE: LII) Driven by 130 years of legacy, HVAC and refrigeration success, Lennox provides our residential and commercial customers with industry-leading climate-control solutions. At Lennox, we win as a team, aiming for excellence and delivering innovative, sustainable products and services. Our culture guides us and creates a workplace where all employees feel heard and welcomed. Lennox is a global community that values each team member’s contributions and offers a supportive environment for career development.

Come, stay, and grow with us.

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 will have the potential opportunity of joining Lennox Full-Time upon graduation. Relocation and/or travel may be required for your position.

Why You’ll #Love Lennox:

• Impactful Projects: Work on meaningful assignments that drive real business results. Your ideas matter here.
• Intern Community: Connect with peers through social events, team-building activities, and engagement programs.
• Innovation Exposure: Dive into cutting-edge tech and trends shaping the HVAC and manufacturing industries.
• Learning and Development: Access workshops, training sessions, and resources to level up your skills and expand your knowledge.
• Competitive Pay and Relocation Support: Receive a competitive compensation package and relocation support if needed.

WHAT YOU'LL BE DOING:

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.

• 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.

• 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.

• 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.

• 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.

• 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
• Strong analytical and problem-solving skills with the ability to interpret data and identify opportunities
• 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
• Ability to translate business requirements into technical solutions
• Strong written and verbal…