Applied Economist- Full-Stack Data Science Internship

Location: Noida | On-site

Type: Internship

About the role:

Were looking for an Applied Economist - Full-Stack Data Science (R + Shiny) who can manage the full data cycle from extraction, cleaning, analysis, to visualization and turn complex financial data into clear, actionable insights.

You should be confident working with R (preferred) or Python, building interactive dashboards (Shiny), and embedding them into internal tools to support smart decision-making across finance and operations.

The internship is for a duration of 23 months. Based on performance during the internship, there is a strong possibility of a full-time job offer afterward.

Key Responsibilities:

• Work with raw financial and operational data: extract, clean, analysis & visualize
• Analyze trends, performance, and variances to support strategic decisions
• Build and maintain dashboards using Shiny or similar tools
• Automate financial reporting and create forecasting models
• Collaborate with teams to understand data needs and deliver insights
• Suggest improvements in processes using data

Required Skills:

• Use R (preferably) or Python to handle real-world, messy data
• Build and deploy Shiny dashboards on servers for real-time insights
• Strong analytical and problem-solving skills
• Good understanding of financial metrics and forecasting
• Ability to work independently and communicate insights clearly

Ideal Profile:

• Trained in Economics / Applied Statistics / Data Science
• Fluent in R (must-have), especially for dashboarding via Shiny
• Strong understanding of causal inference, forecasting, and behavioral trends
• Comfortable with backend deployment (server-side, not just frontend tools)
• Bonus: Experience with healthtech/pharma/wellness data

Why join us

• Fast-growing health-tech & wellness startup
• Opportunity to own and lead data-driven projects
• Collaborative, learning-focused team
• Your work will directly impact company decisions