IN_Manager_Data Science & Data Analytics_Climate & Sustainability Strategy_Advisory_Bangalore

This role focuses on leveraging chemical engineering domain knowledge and data analytics to drive manufacturing efficiency, process optimization, energy performance, and sustainability outcomes across industrial clients.

Responsibilities:

You’ll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

Sector Specific Skills:

• Analyze process, production, yield, quality, and energy consumption data from chemical manufacturing operations.
• Develop interactive dashboards and analytical reports to generate insights into plant operations and leadership teams.
• Support process optimization, debottlenecking, and predictive maintenance initiatives across continuous and batch processes.
• Work closely with process engineers, operations teams, and EHS teams to identify inefficiencies, losses, and improvement opportunities.
• Perform risk assessment and process risk analysis using tools such as FMEA and HAZOP support analytics.
• Apply process simulation and modeling concepts (mass & energy balances, reaction kinetics, separation efficiencies) to validate analytical insights.
• Integrate data from process sensors, DCS/SCADA systems, historians, LIMS, and ERP systems.
• Conduct root cause analysis for process deviations, off-spec product generation, and energy performance gaps.
• Contribute to sustainability reporting, including energy efficiency, emissions tracking, water usage, waste generation, and regulatory disclosures.
• Apply statistical and advanced analytics techniques to monitor KPIs such as yield, conversion efficiency, defect rates, and utility consumption.
• Support digital manufacturing initiatives, including Industry 4.0, smart plants, AI-led optimization, and advanced process control enablement.
• Present analytical findings and recommendations to both technical and non-technical stakeholders.

Mandatory skill sets:

• Experience in chemical manufacturing operations, including reaction processes, separations, utilities, and plant operations.
• Exposure to process industries such as chemicals, petrochemicals, specialty chemicals, polymers, pharmaceuticals, or FMCG manufacturing.
• Programming: Python, SQL, Excel.
• Visualization: Power BI, Tableau.
• Statistical Tools: Minitab, R.
• Industrial Systems: DCS/SCADA, process historians, MES, and ERP integration.
• Analytics: Time-series analysis, anomaly detection, multivariate analysis, process modeling, and optimization techniques.

Preferred skill sets:

• Strong problem-solving and critical thinking capabilities with a process-focused mindset.
• Ability to communicate complex analytical insights clearly to diverse stakeholder groups.
• Curiosity and interest in digital manufacturing, process innovation, and sustainability technologies.
• Familiarity with Six Sigma, Lean manufacturing, TPM, or energy management systems (ISO 50001).

Years of experience required:

Experience: 7 Years

Education qualification:

• Bachelor’s/Master’s in Metallurgy, Materials Science, Data Science, or related fields.
• Certifications in data analytics or industrial automation are a plus.