Manager, Data Science & Data Analytics, Climate & Sustainability Strategy

PwC India is hiring a Manager for Data Science & Data Analytics in Climate & Sustainability Strategy. The role involves integrating sustainability into business operations, analyzing chemical manufacturing data, developing dashboards, supporting process optimization, and conducting risk assessments. Candidates need at least 7 years of experience in chemical operations, programming skills in Python and SQL, and familiarity with data visualization tools. A relevant degree is required.
As a member of PwC's sustainability team, you will be responsible for integrating environmental, social, economic, and governance considerations into business strategies and operations. You will guide and support organizations in managing sustainability risks, identifying opportunities, and driving positive social and environmental impact.

Key Responsibilities:
- 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 to 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, offspec 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, AIled optimization, and advanced process control enablement.
- Present analytical findings and recommendations to both technical and nontechnical stakeholders.

Qualifications Required:
- 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 skills in Python, SQL, and Excel.
- Proficiency in visualization tools like Power BI and Tableau.
- Familiarity with statistical tools such as Minitab and R.
- Knowledge of industrial systems like DCS/SCADA, process historians, MES, and ERP integration.
- Expertise in analytics including timeseries analysis, anomaly detection, multivariate analysis, process modeling, and optimization techniques.

Experience:
You are required to have a minimum of 7 years of relevant experience.

Education:
A Bachelors or Masters degree in Metallurgy, Materials Science, Data Science, or related fields is necessary. Certifications in data analytics or industrial automation are considered a plus. As a member of PwC's sustainability team, you will be responsible for integrating environmental, social, economic, and governance considerations into business strategies and operations. You will guide and support organizations in managing sustainability risks, identifying opportunities, and driving positive social and environmental impact.

Key Responsibilities:
- 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 to 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, offspec 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, AIled optimization, and advanced process control enablement.
- Present analytical findings and recommendations to both technical and nontechnical stakeholders.

Qualifications Required:
- Experience in chemical manufacturing operations, including reaction processes, separations, utilities, and plant operations.
- Exposure to process industries such as chemicals, petrochemicals, specialty chemicals, polymers, pharmace