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