DA/ML Internship (6 months)

Who are we

Whatfix is a data-driven digital adoption platform (DAP) that enables organizations and users to maximize the benefits of software. Whatfix acts as an interactive overlay on top of any application to guide users with real-time guidance, self-help support, and user feedback. With product analytics and AI, Whatfix enables scalable success with technology, maximizing productivity, and leveraging data-driven insights for better decision-making. The company has seven offices globally in the US, India, UK, Germany, Singapore, and Australia, and works with Fortune 500 companies around the world. Whatfix has raised$140 millionto date and is backed by marquee investors including Softbank, Sequoia, Dragoneer, and Cisco Investments.

Hustle Mode ONis the motto we live by.

• Whatfix has been named among the top 20 B2B tech companies like Adobe, PayPal, and Cisco.

• With YoY revenue growth of over 65%, we have also been recognized among the top 20 fastest-growing SaaS companies worldwide in the SaaS 1000 list.

• Recognized by Forrester and Everest Group as a Leader in the digital adoption space, and listed by LinkedIn among one of the Top 5 startups in India in 2020

• Listed in among fastest-growing companies in North America for 2022 and 2021 and recognized as Great Place to Work 2022-2023

• Our Customer centricity is evident from a Customer rating of 4.67 on G2 Crowd & 4.7 on Gartner Peer Insights

Join the Data Strategy and Systems team to build and automate data workflows, dashboards, and simple ML models that drive our revenue-retention strategy.

In this role, you will:

• Dashboard & Reporting: Develop Explores, Looks and dashboards in Looker Studio/Enterprise automate data pushes into Google Sheets.
• Data Automation: Ingest, clean, and transform data directly within Google Sheets author Python or Apps Script routines to deliver analysis-ready datasets.
• Analytical Insights: Track weekly GRR/NRR metrics produce the Team Insight digest with trend charts and blocker summaries.
• ML Prototyping: Build basic classification (e.g., churn) and regression (e.g., forecasting) models in Google Colab perform feature engineering, validation, and metric reporting.
• Process Improvement: Document workflows in Confluence identify and implement further automation.
• Data Viz: Data Story through visualisation using Looker Studio and Matplotlib

Preferred Skills

• Python (pandas, numpy, scikit-learn) & Google Colab
• Looker Studio/Enterprise & Google Sheets (Apps Script)
• Git, Confluence
• Azure DB

Perks & Benefits (India)

• Best-in-class medical insurance coverage
• Free lunch & dinner buffet
• Doorstep cab drop facility
• Education sponsorship
• Internal job transfer & global mobility programs
• Scope to represent Whatfix at global events
• We also provide uncapped incentives, bonus plans and opportunities to employees (especially those in GTM teams) to travel to meet our global customers