Data Science Intern

A Data Science Intern assists with analyzing large data sets to derive actionable insights and supports the development of machine learning models, while gaining hands-on experience in applying data science techniques in a real-world business context. Student Exploration and Experience Development (SEED) is a 12-week internship opportunity at Veolia for students to gain hands-on experience in sustainability and ecological transformation. They will work on real-world projects, receive mentorship from industry professionals, and participate in workshops and networking events. The program aims to nurture talent, promote innovation, and foster meaningful connections between students and industry professionals. Overall, the SEED program provides students with the skills, knowledge, and connections needed to make a positive impact in the industry. Primary Duties/Responsibilities: Analyze and interpret complex datasets to extract meaningful insights, aiding in data-driven decision making. Develop and implement machine learning models and algorithms to solve specific business problems, enhancing operational efficiency. Clean, preprocess, and validate data to ensure accuracy, completeness, and uniformity for effective analysis. Collaborate with cross-functional teams to understand business needs and provide data-driven recommendations and solutions. Prepare and present reports on findings and model outcomes to both technical and non-technical stakeholders, clearly communicating insights and implications.

A subsidiary of Veolia Group, Veolia North America (VNA) offers a full spectrum of water, waste and energy management services, including water, and wastewater treatment, commercial and hazardous waste collection and disposal, energy consulting and resource recovery. VNA helps commercial, industrial, healthcare, higher education, and municipality customers throughout North America. Headquartered in Boston, Mass., Veolia North America has approximately 10,000 employees working at more than 350 locations across the continent.