Sr Analytics Engineer
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About the role
GE Vernova's Fleet Services Analytics team develops solutions for engineering teams working to improve power plant reliability and performance. You will build Python analytics workflows, apply statistical and machine learning methods, and create dashboards for equipment investigations and diagnostics.
What you'll do
- Develop and deploy Python analytics solutions using operational, sensor, and event data
- Apply statistical and machine learning methods to detect anomalies and support diagnostics
- Perform data analysis, feature engineering, and root cause analysis on industrial datasets
- Build scalable analytics pipelines and interactive dashboards for engineering investigations
- Validate deployed solutions and improve model accuracy, robustness, and interpretability
Skills
Must have
- Python
- Statistics
- Probability
- Data analysis
- Time-series analysis
- Machine learning
- Data wrangling
- Feature engineering
- Root cause analysis
- Anomaly detection
Nice to have
- Predictive maintenance
- Fault detection
- Diagnostics
- Reliability analytics
- Deep learning
Tools
- pandas
- NumPy
- Scipy
- Scikit-learn
- PyTorch
- TensorFlow
- GitHub copilot
- Claude code
- Plotly dash
- Streamlit
Who it's for
- Education
- Engineering degree
- Degree
- engineering, computer science, statistics, mathematics, data science
- Experience
- 5 to 8 years
- Domain
- industrial power generation
About GE Vernova
GE Vernova has 78 open roles in Bangalore, at John F. Welch Technology Centre (JFWTC). See every GE Vernova role.
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