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Research and Analytics Intern

Link’s 10-week paid summer internship program helps students gain valuable experience and develop business skills while learning the basics of logistics real estate. We offer internships in over 15 departments including Capital Markets, Construction, Development, Financial Planning & Analysis, Investments, IT, Asset Management, Property Management, Sustainability and more.   

  

Link is looking for actively enrolled juniors (rising seniors) who would be interested in supporting the team’s efforts to build and implement machine learning models to inform better business decision making. You will be working with a cross-functional team of both supply chain and real estate veterans while developing a data science skillset via in-depth projects that’ll involve applying statistical and technical rigor to solve key challenges surrounding the world of industrial real estate.   

  

WHAT YOU WILL BRING:

  • Collect, clean, and analyze raw and complex industry data from disparate sources to identify patterns and statistically significant signals    
  • Research and apply various modeling and analytical techniques to build solutions that answer key business needs and goals    
  • Interpret models and articulate findings into concrete measurable actions that will inform Link’s investment, operational, and strategic direction     
  • Provider broader analytical support to the Research & Analytics team   

  

QUALIFICATIONS:

  • Current junior (rising senior) undergraduate student at an accredited four-year institution   
  • Pursuing a degree in statistics, economics, computer science, math, physics, or similar quantitative discipline   
  • Proficiency in Python and common Python data science libraries (e.g., pandas, NumPy, scikit-learn, matplotlib), SQL, and Excel 
  • Must currently be actively enrolled for consideration of internship  

 

$30/hour represents the presently anticipated base compensation pay range for this position at Link. Actual pay may vary based on various factors, including but not limited to location and experience.