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 a Data & AI Co-Op, you will work closely with the Data & AI team and cross-functional partners to support data modeling, AI application development, reporting, and foundational machine learning efforts. This is an excellent opportunity to gain real-world experience with emerging AI technologies, cloud platforms, and data-driven applications in a collaborative, fast-paced environment. You can expect to participate in impactful, developmental projects designed for your specific area of focus. This role will provide you with real work experiences to grow your career and provide exposure to business leaders throughout the company.
Relocation and/or travel may be required for your position.
Why You’ll #LoveLennox:
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Impactful Projects: Work on meaningful assignments that drive real business results. Your ideas matter here.
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Intern Community: Connect with peers through social events, team-building activities, and engagement programs.
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Innovation Exposure: Dive into cutting-edge tech and trends shaping the HVAC and manufacturing industries.
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Learning and Development: Access workshops, training sessions, and resources to level up your skills and expand your knowledge.
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Competitive Pay and Relocation Support: Receive a competitive compensation package and relocation support if needed.
WHAT YOU’LL BE DOING:
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Assist in the implementation of data and AI solutions under supervision.
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Support basic data modeling, AI engineering tasks, and foundational data science practices.
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Create SQL queries to support reporting, dashboards, and exploratory data analysis.
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Document processes and assist in maintaining AI pipelines and systems.
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Participate in team collaboration to gain exposure to machine learning model training and deployment.
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Learn and apply foundational AI engineering and machine learning practices.
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Participate in training sessions to learn about AI engineering and machine learning tools used by the team.
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Support the development of scalable data and AI workflows that integrate multiple systems and services.
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Contribute to the development of AI-powered applications using large language models, APIs, and prompt engineering techniques.
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Learn to utilize LLM models to automate basic tasks and support the development of agentic solutions under supervision.
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Gain exposure to LLM API integration, evaluation, and deployment practices.
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Assist with the design and build of generative AI solutions that automate or enhance business processes.
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Support the implementation of cloud-based data solutions by assisting with basic configuration and monitoring tasks.
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Help the team ensure reliability and scalability across foundational cloud and AI projects.
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Gain hands-on experience with cloud-based AI solutions, monitoring, and automation capabilities.
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Contribute to the integration of AI functionalities within software applications.
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Support the team in implementing data and AI-driven applications using web frameworks.
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Collaborate with team members on projects involving automation platforms, AI workflows, APIs, and software development best practices.
Design and build an AI-powered application using LLMs to automate or enhance a business process. Gain hands-on experience with prompt engineering, APIs, evaluation, and deployment.
Develop scalable data and AI workflows that integrate multiple systems and services. Implement cloud-based AI solutions, monitoring, and automation capabilities following engineering best practices.
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Currently pursuing a degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Computer Engineering, or a related STEM field
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Proficiency in Python and SQL
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Understanding of machine learning and Generative AI concepts
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Familiarity with APIs and cloud platforms
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Strong analytical and problem-solving skills
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Effective written and verbal communication skills
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Ability to work independently and as part of a team
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Passion for learning emerging AI technologies
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Experience with cloud platforms, AI/ML frameworks, LLMs, APIs, data engineering tools, or software development practices
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Demonstrated curiosity for emerging AI technologies
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Graduate-level coursework or graduate student status
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Hands-on experience supporting real data and AI projects
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Exposure to machine learning, Generative AI, automation, and cloud-based solution development
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Opportunities to collaborate with cross-functional teams on AI-driven business applications
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Development of professional skills in data analysis, AI engineering, technical documentation, and problem-solving
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Practical experience applying emerging technologies to solve business challenges
Requires a high school diploma or an equivalent combination of education and experience. Entry Level.
Developing professional knowledge in the area of expertise. Solid written and verbal communication skills. Proficient in Microsoft Office.