Lead – Advanced Analytics (Intelligence Services)
Reliance Industries Limited
Date: 2 weeks ago
City: Navi Mumbai, Maharashtra
Contract type: Full time
Job Purpose
To spearhead the development and deployment of advanced analytics and data-driven solutions across the CBG value chaindriving process optimization, predictive insights, and innovation in production, maintenance, supply chain, and commercial operations.
Key Responsibilities
Analytics Strategy & Roadmap:
To spearhead the development and deployment of advanced analytics and data-driven solutions across the CBG value chaindriving process optimization, predictive insights, and innovation in production, maintenance, supply chain, and commercial operations.
Key Responsibilities
Analytics Strategy & Roadmap:
- Define and own the advanced analytics roadmap, aligning data initiatives with CBG business objectives (yield maximization, cost reduction, quality improvement).
- Identify high-impact use cases across feedstock selection, digester performance, purification, bottling, logistics, and sales forecasting.
- Lead the design, development, and validation of statistical and machine-learning models (predictive maintenance, anomaly detection, yield forecasting, optimization).
- Oversee end-to-end analytics workflows: data ingestion/cleansing, feature engineering, model training, evaluation, and deployment.
- Evaluate, select, and manage analytics platforms and toolchains
- Drive the adoption of automated ML pipelines, MLOps best practices, and scalable data architectures.
- Collaborate with plant operations, supply chain, and commercial teams to translate analytical insights into actionable dashboards and reports (Power BI/Tableau/Grafana).
- Present findings and recommendations to senior leadership, translating complex analyses into clear business narratives.
- Mentor and lead a small team of data scientists, analysts, and engineers; coordinate with IT, digital infrastructure, and manufacturing applications leads.
- Foster a culture of experimentation, continuous learning, and cross-functional collaboration.
- Establish data governance standards, model validation protocols, and documentation for reproducibility and audit readiness.
- Ensure compliance with data security, privacy, and regulatory requirements.
- B.E. / B.Tech
- Strong proficiency in Python, SQL, ML frameworks (scikit-learn, TensorFlow, PyTorch), and big-data technologies (Spark, Databricks, etc.).
- Hands-on experience with predictive maintenance, process optimization, time-series forecasting, and anomaly detection.
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