Data Scientist - Data Center Intelligence
- Company Overview
- We are a global empathy-led technology services company where software and people transformations go hand-in-hand. Product innovation and mature software engineering are part of our core DNA.
- Our mission is to help our customers accelerate their digital journeys through a global, diverse, and empathetic talent pool following outcome-driven agile execution. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day.
- We continue to invest in our digital strategy, design, cloud engineering, data, and enterprise AI capabilities required to bring a truly integrated approach to solving our clients' most ambitious digital journey challenges.
- About this role
- Build and deploy predictive models that make data center operations smarter, safer and more energy-efficient. You will work with sensor telemetry, DCIM feeds, and operational logs to generate actionable intelligence for site operations teams.
- Key Responsibilities
- Develop ML models for anomaly detection,



predictive failure analysis, cooling optimization, and capacity forecasting
- Work with time-series data from BMS, SCADA, PDUs, and environmental sensors
- Build, validate and productionize models using MLflow, Azure ML, or SageMaker
- Collaborate with data engineers for feature engineering and pipeline design
- Create dashboards and reports translating model outputs into actionable operations insights
- Conduct A/B testing and model performance monitoring in production environments
- Must-Have Profile
- 4-9 years; solid foundation in statistical ML and Python-based data science stack
- Proficiency in scikit-learn, XGBoost, PyTorch or TensorFlow; experience with time-series forecasting (Prophet, LSTM, ARIMA)
- Familiarity with IoT/OT data (sensor streams, telemetry, irregularly-sampled data) a strong plus
- Experience with PUE optimization, thermal modeling, or critical infrastructure analytics hi

📌 Data Scientist (Pune)
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