Data Science Analyst Intern

Skills : Python, R, Tablue, SQL

Selected intern's day-to-day responsibilities include:

  • Use statistical methods to analyze data and generate useful business reports
  • Analyze client data using EDA and provide actionable insights to improve processes and present them successfully to management using a reporting tool.
  • Use data to create AI&ML models to solve complex business problems
  • Provide support for ad hoc requests from the Business Users
  • Provide support for Analytics Processes monitoring and troubleshooting
  • Identify, evaluate and implement external services and tools to support data validation and cleansing
  • Liaise with internal and external clients to fully understand data content
  • Gather, understand and document detailed business requirements using appropriate tools and techniques
  • Support in creating PowerPoints, reports, dashboards, and models
  • Independently determine the appropriate approach for new assignments
  • Complete a variety of atypical assignments
  • Solve a range of straightforward problems

Required Experience, Skills, and Qualification

  • Hands-on experience in building statistical models like regression, decision tree, random forests, and other AI/ML models is a must
  • Experience using R, Python is mandatory
  • Ability to write SQL queries, doing cohort analysis, comparative analysis, etc
  • Ability to lead own projects and work independently once given a direction
  • Experience working directly with business users to build reports, dashboards and solving business questions with data
  • Experience in working on visualization tools (Tableau/Power BI etc.)

Only those candidates can apply who:

  • are available for work from home full-time internship
  • are available for a duration of 3-6 months
  • have relevant skills and interests

Do you want to crack the interview for Data Science Analyst Intern?

Expedite Informatics