Intern, Software
Danfoss · Pune, Maharashtra, India (On-site) · 0-1 years
# Intern, Software — Danfoss**Location:** Pune, Maharashtra, India **Work Mode:** On-site **Employment Type:** Full-time **Experience Level:** Student / Internship **Requisition ID:** 52316 **Business Segment:** Danfoss Power Solutions## About the RoleDanfoss is looking for a motivated Software Intern to contribute to data analytics and digital solutions that support supply chain, manufacturing, and operational decision-making.In this role, you will work with cross-functional teams to develop analytics solutions, improve forecasting accuracy, enhance inventory visibility, and support operational efficiency. This is an opportunity to gain hands-on experience with modern data platforms, business intelligence tools, and data engineering technologies in a global manufacturing environment.## Key Responsibilities- Support the development of data-driven solutions for forecasting, inventory monitoring, capacity planning, and supply chain optimization.- Build and maintain data pipelines, datasets, and analytics solutions using SQL, Databricks, PySpark, and related technologies.- Develop Power BI dashboards and reports to visualize performance metrics, trends, and operational insights.- Validate analytical outputs against business requirements and historical data to ensure accuracy and reliability.- Collaborate with supply chain, operations, and digital teams to identify opportunities for data-driven improvements.- Explore advanced analytics, automation, and emerging technologies to support continuous improvement initiatives.## Eligibility and Requirements- Currently pursuing or recently completed a B.E., B.Tech., M.Tech., or M.Sc. in Computer Science, Information Technology, Data Science, Artificial Intelligence, or a related field.- Foundational knowledge of Python, SQL, and Microsoft Excel.- Strong analytical thinking, problem-solving skills, and attention to detail.- Good communication skills and the ability to collaborate with technical and non-technical teams.- Eagerness to learn new technologies and solve real-world business problems.## Preferred QualificationsExposure to any of the following would be an advantage:- Power BI and business intelligence- Databricks and PySpark- ETL/ELT processes and data pipelines- Time-series analysis and machine learning- Data engineering, analytics, or full-stack developmentAcademic projects, relevant coursework, or previous internship experience in analytics or data engineering are also beneficial.## What You'll Gain- Mentorship, training, and professional development opportunities.- Hands-on experience with real-world analytics and manufacturing challenges.- Collaboration with cross-functional teams in a global organization.- Exposure to modern data platforms and emerging technologies.- An inclusive work environment that supports learning and career growth.## How to ApplyInterested candidates can review the opportunity and submit their application through ReferralWorld Careers.Take the next step toward building your career in software, data analytics, and digital transformation!
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