At GAF, we cover more than just buildings. We cover each other. Under this roof, you will have the tools and resources you need to begin, grow, and develop in your career. Under this roof, you will experience our incredible culture and be empowered to support your teammates, your customers and especially your community through collaboration. Under this roof, we define the future while leading the present through our commitment to continuous improvement and never being satisfied with the status quo. We are GAF. And under this roof, we protect what matters most. Introduction: At GAF, we cover more than just buildings. We cover each other. Under this roof, you will have the tools and resources you need to begin, grow, and develop in your career. Under this roof, you will experience our incredible culture and be empowered to support your teammates, your customers and especially your community through collaboration. Under this roof, we define the future while leading the present through our commitment to continuous improvement and never being satisfied with the status quo. We are GAF. And under this roof, we protect what matters most. Summary: Put your classroom studies into practice in the real world and gain the experience to help determine your journey after graduation. At GAF, we'll make sure you get going on your very first day with a comprehensive orientation into our company. In our program, you will have the opportunity to own your own projects, participate in meetings, and work cross-functionally with other departments. GAF is looking for a Data Science (AI) Intern. The ideal candidate for this role is majoring in Computer Science, Data Science, Statistics, Mathematics, or a related Engineering field with a focus on Artificial Intelligence. This intern will assist with the development, testing, and deployment of machine learning models and AI solutions (including predictive analytics and generative AI) within GAF's data ecosystem. Leveraging tools such as Python, Google Cloud Platform (GCP), and modern ML frameworks, the intern will have a great deal of opportunity to learn, contribute to real-world AI initiatives, and develop leadership skills. Essential Duties: • Develop and prototype AI/ML solutions for specific business needs using Python, standard ML libraries (e.g., scikit-learn, TensorFlow, PyTorch), and Google Cloud Platform. • Assist in training, validating, and fine-tuning predictive models and/or Large Language Models (LLMs) to optimize manufacturing, supply chain, or customer experience processes. • Analyze complex datasets to engineer new features and generate insights that support the development of AI-driven products. • Present project milestones and model results at monthly Data Science meetings to a cross-functional group of analysts and engineers. • Collaborate with data engineers to help build and optimize data pipelines required for training and deploying AI models. • Deliver complex technical insights and model predictions in a clear, digestible manner to non-technical business stakeholders. • Stay current with emerging AI trends, tools, and methodologies, recommending innovative approaches to the team. Under This Roof, We Require: • Pursuit of a Bachelor's or Master's Degree from an accredited institution in a quantitative field, with a minimum overall GPA of 3.0. • Academic, project, or internship experience focusing on Machine Learning, Artificial Intelligence, Deep Learning, or Natural Language Processing (NLP). • Strong programming proficiency in Python or R, and hands-on experience with SQL. • Experience working with structured and unstructured data for model development. • Ability to communicate complex mathematical and computational concepts with clarity and precision. Under This Roof, We Also Value: • Experience or familiarity with Generative AI APIs (e.g., OpenAI, Google Gemini) and prompt engineering. • Familiarity with version control systems (e.g., Git) and MLOps concepts. • Excellent communication and presentation skills. • A rigorous approach to code quality, model evaluation, and data integrity. How We Protect What Matters Most: We offer a wide range of health insurance options that include medical, dental, and vision for you and your family. Our Family-Building benefits support the many different journeys to fertility and parenthood. Our robust 401K plan includes an employer match contribution with your pre-tax and/or Roth contributions. Other exciting programs and perks are available to help employees achieve work-life balance, including (but not limited to) a wellness program, free financial coaching, a referral program, and product rebates when purchased for an employee's primary residence. Professional growth and development are very important to us! We offer internal training programs and courses, as well as a generous tuition reimbursement program. We put diversity and inclusion into action with our Employee Resource Groups, which unite employees based on common perspectives, identities, demographic factors, or out of a desire to be an ally. GAF complies with federal, state, and local disability laws and makes reasonable accommodations for applicants and employees with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact HR Services at 833-HR-XPERT. Base salary and/or rate of pay ranges listed are exclusive of fringe benefits and potential bonuses. Individual compensation offers will be determined based on a variety of factors, including but not limited to geographic location, relevant candidate experience and skill, education, and/or qualifications. Base Hourly Rate: $20.00 GAF complies with federal, state, and local disability laws and makes reasonable accommodations for applicants and employees with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact HR Services at 833-HR-XPERT.