Role & Responsibilities:
Build and optimize data models for analytics and reporting, ensuring performance and reliability.
Collaborate with data analysts and business teams to translate requirements into engineering solutions and prepare datasets for BI tools (Power BI).
Perform basic data validation and analysis to ensure data accuracy and usability for dashboards.
Assist in collecting and cleaning large datasets from various sources.
Support in the analysis and interpretation of data to identify trends and patterns.
Create visualizations and dashboards to present data insights.
Collaborate with team members to define data needs and requirements.
Document data analysis processes and methodologies.
Participate in meetings and provide data-driven insights to stakeholders
Desired Characteristics Preferred Qualifications
Be a good team player and uphold integrity.
Open to be mentored, seek feedback.
Strong interpersonal skills, capable of working within a globally diverse team across different time zone.
Qualifications/Requirements
B.Tech or M.Tech in Computer Science Engineering, AI/ML.
70% or 7 CGPA aggregate in the current degree.
No active backlogs at the time of application.
Willing to work in GE HealthCare premises during the internship.
Willing to work on any projects as assigned based on fitment and business need.
Coding in programming languages (one or more of Python, R, etc.) and familiarity with analytic packages like
Experience with applying Machine Learning on time-series data is a plus
Enrollment in a Bachelor's or Master's degree program in Data Science, Statistics, Computer Science, or a related field.
Basic knowledge of data analysis techniques and tools.
Strong analytical and problem-solving skills.
Effective communication and teamwork skills.
Ability to manage time and prioritize tasks.
Skills
Excel
SQL
Python
R
Tableau
Data Visualization
Statistical Analysis
Attention to Detail
Critical Thinking
Relocation Assistance Provided: No
Skills Required
- B.Tech or M.Tech in Computer Science Engineering or AI/ML
- Enrollment in a Bachelor's or Master's degree program in Data Science, Statistics, Computer Science, or related field
- Minimum 70% or 7 CGPA aggregate in current degree
- No active backlogs at the time of application
- Willingness to work on GE HealthCare premises during the internship (on-site)
- Willingness to work on any projects as assigned based on fitment and business need
- Coding experience in one or more of Python or R
- Experience with SQL and data querying
- Familiarity with BI tools and analytics packages (Power BI, Tableau)
- Basic knowledge of data analysis techniques and tools
- Strong analytical and problem-solving skills
- Effective communication and teamwork skills; ability to work across time zones
- Ability to manage time and prioritize tasks
- Experience with applying machine learning on time-series data
- Proficiency with Excel
- Attention to detail and critical thinking
GE Healthcare Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GE Healthcare and has not been reviewed or approved by GE Healthcare.
-
Healthcare Strength — Healthcare coverage is portrayed as comprehensive, including medical, dental, and vision options with HSA-eligible choices and preventive care coverage. Mental health and well-being support programs are also emphasized as part of the overall package.
-
Retirement Support — Retirement support is described as meaningful, with a 401(k) match and additional programs such as student-loan matching in some descriptions. Legacy pension and retiree medical obligations for certain closed groups also signal continued support for long-tenured populations.
-
Strong & Reliable Incentives — Variable and role-linked earning opportunities appear attractive in some job families, including high on-target earnings potential in certain sales roles. Additional role-based perks like company cars and travel-related reimbursements further increase the perceived value of total rewards in those positions.
GE Healthcare Insights
What We Do
Every day millions of people feel the impact of our intelligent devices, advanced analytics and artificial intelligence. As a leading global medical technology and digital solutions innovator, GE Healthcare enables clinicians to make faster, more informed decisions through intelligent devices, data analytics, applications and services, supported by its Edison intelligence platform. With over 100 years of healthcare industry experience and around 50,000 employees globally, the company operates at the center of an ecosystem working toward precision health, digitizing healthcare, helping drive productivity and improve outcomes for patients, providers, health systems and researchers around the world. We embrace a culture of respect, transparency, integrity and diversity.
