Data Science Intern

Welltower™ Inc. (NYSE:WELL)•,

About The Position

Welltower’s Data Science Intern is someone who is passionate about turning data into insights. This intern will work alongside the Data Science and Business Insights teams to support the development of analytics solutions, integrate information from various sources, and help evaluate data-driven opportunities across the business. The role will also provide exposure to AI-enabled processes and advanced analytics initiatives that support strategic decision-making. The Data Science Intern will contribute to projects involving data preparation, exploratory analysis, predictive modeling, and business intelligence. This internship offers an opportunity to gain hands-on experience applying data science techniques within a dynamic real estate and healthcare environment.

Requirements

Currently pursuing a PhD degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Engineering, Information Systems, or a related field.
Demonstrated interest in data science, analytics, machine learning, or artificial intelligence through coursework, projects, research, or prior internships.
Familiarity with data analysis and statistical concepts.
Exposure to programming languages and data science tools such as Python, R, SQL, or similar technologies.
Basic understanding of machine learning concepts and predictive analytics techniques.
Strong analytical and problem-solving skills.
Excellent verbal and written communication skills.
Ability to work independently and collaboratively in a team environment.

Nice To Haves

Familiarity with data visualization tools such as Tableau, Power BI, or similar platforms is preferred.
Interest in real estate, healthcare, finance, or related industries is a plus.
Coursework in statistics, machine learning, data analytics, predictive modeling, or related disciplines is preferred.

Responsibilities

Support the Business Insights team in advancing Welltower’s data and analytics initiatives.
Assist in the development and testing of predictive models and analytical solutions.
Help prepare datasets, engineer features, and support machine learning workflows.
Conduct exploratory data analysis and data mining using modern analytical techniques.
Assist with integrating and evaluating internal and external data sources.
Analyze model outputs and communicate insights that support business decisions.
Support efforts to improve data quality, governance, and collection processes.
Process, cleanse, and validate data used in reporting and analytics projects.
Perform ad-hoc analyses and present findings to team members in a clear and organized manner.
Collaborate with cross-functional teams to understand business challenges and identify opportunities for data-driven solutions.