Data Scientist
GE Vernova (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted 1d ago
Reach people at GE Vernova
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at GE Vernova you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own end-to-end data science workflows including data acquisition, cleaning, feature engineering, exploratory analysis, model training, tuning, validation, and documentation of results focused on industrial datasets.
- Collaborate with data and platform engineering teams to support deployment, model serving, and basic monitoring/drift checks under supervision.
- Apply modeling techniques for time-series forecasting, anomaly detection, and predictive maintenance, contributing measurable value to industrial operations.
Minimum Requirements
- Bachelor's degree in Computer Science or STEM majors.
- Minimum 3 years of experience in Data Science, Machine Learning, or closely related roles.
- Proficient in Python and SQL with experience using Pandas, NumPy, scikit-learn; basic TensorFlow/PyTorch exposure is a plus.
- Relocation assistance is provided.
Ideal Candidate Profile
- Experience with industrial operations data or demonstrated ability to learn domain-specific failure modes, maintenance strategies, and operational KPIs.
- Comfortable working under supervision in collaborative environments with evolving project requirements and ambiguity.
- Familiarity or experience with cloud ML platforms, MLOps practices, and visual analytics for effective communication of insights.