Envita Solutions, formerly known as Heritage Interactive Services, is a leading total waste management partner. The company is dedicated to fostering a healthier planet by transforming complex waste challenges into sustainable solutions. Headquartered in Indianapolis, Indiana, Envita Solutions operates in the U.S., Mexico, and Canada, has over 300 employees, and a network of over 3,000 supplier partners. A division of The Heritage Group, Envita Solutions is part of a portfolio of more than 30 companies specializing in heavy construction and materials, environmental services, and specialty chemicals. With unique access to research and development and a leading hard tech corporate venture capital portfolio, Envita Solutions is at the forefront of waste and climate challenge innovation.
At Envita, our guiding principles are the foundation of our company. Our vision is to foster a healthier planet by transforming complex waste challenges into sustainable solutions. We exist to protect human health and the environment and build a safer, more sustainable world. We believe in creating enduring value, building long-term relationships and mutual trust, betting on our people, keeping our eyes open for opportunity, tackling the big problems, and doing the right thing-always.
We are seeking a versatile Data Scientist Intern to join our digital technology team for the summer. The intern will contribute to real-world projects that enhance efficiency, drive digital innovation, and support Envita s sustainability mission. The intern will gain valuable experience by exploring complex, real-world production data to analyzing trends, building and maintaining models, assessing data quality, identify gaps, and more. The ideal candidate will take initiative in these ventures, ask good questions, practice critical thinking, and be able to work with colleagues on other teams.
Essential Functions
Ensures Health & Safety is the number one goal by following policies, processes, and always acting in a safe manner.
Data Analysis & Preparation: Collect, clean, transform, and analyze structured and unstructured datasets to support AI and automation initiatives.
Product exploratory data analysis, deliver trends and insights to both technical and non-technical audiences.
ML Applications: Fine-tune and evaluate machine learning models for tasks such as classification, regression, forecasting, and anomaly detection.
Prototyping Solutions: Deliver proof-of-concept models and automation workflows that demonstrate measurable value.
Cross-Team Collaboration: Partner with technology and business transformation teams to contribute to and understand end-to-end data lifecycle.
Continuous Research: Stay current on AI/ ML trends; recommend tools and methods that could benefit Envita’s operations.
Gain practical experience in AI — from data analysis to workflow deployment.
Apply Data Science in real-world business contexts, including sustainability and operational efficiency.
Collaborate with product, strategy, and technology leaders on high-impact digital initiatives.
Additional duties and responsibilities as assigned, including but not limited to continuously growing in alignment with the Company’s core values, competencies, and skills.
Education Qualifications
Required High School or Equivalent.
Preferred Bachelor s Degree and open to college sophomore, junior, senior, recent grad, or 1st or 2nd master’s student majoring in Computer Science, Data Science, AI/ML, Statistics/Mathematics, or a related field in progress.
Experience Qualifications
Coursework, projects, and/or internships specializing in Computer Science, Mathematics, Machine Learning or AI preferred.
Familiarization with data manipulation and visualization tools, including but not limited to numpy, pandas, seaborn, and plotly.
Academic, internship, or project-based experience with machine learning frameworks (e.g. scikit-learn, scipy, TensorFlow, PyTorch).
Experience using generative AI models and prompt engineering techniques is a plus.
Skills and Abilities
Working knowledge of SQL and comfort working with messy, real-world data.
Proficiency in Python, R, or equivalent for both ML and Data Analysis scripting.
Strong understanding of AI/ML concepts and practical application in business contexts.
Strong problem-solving skills to bridge technical models with business needs.
Effective communicator, able to explain technical solutions to non-technical audiences.
Code versioning, using Git/Github, SVN, or equivalent, is a plus.
Code containerization (Docker) is a plus.
Working Conditions/Physical Demands
Must be able to make in office commute.
Internships at The Heritage Group
The Heritage Group Internship Program provides hands-on, paid experiences in a corporate function or within one of our many operating companies. Interns can expect to network with other students and professionals, gain useful skills, receive mentoring, and make their own contributions to the organization. Additionally, interns can participate in our weekly hosted events focused on professional development, team building, and community service.
Intern pay is non-negotiable and is calculated based on current academic class standing $18/hour (Freshman) - $21/hour (Senior), etc.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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