Data Science Consultant - Resources/Energy/Utilities/Mining

Hiring: Data Science Consultant - Resources (Energy / Utilities / Mining)

Location: Bangalore | Gurgaon | Mumbai

Experience: 5 - 8 Years

Practice: Data & AI Consulting

About the Organization:

We are a global consulting and professional services firm helping Fortune 500 clients drive data, analytics, and AI-led transformation across industries, delivering measurable business impact at scale.

Role Overview:

We are hiring Data Science Consultants to work on advanced analytics programs for Energy, Utilities, Chemicals, Metals & Mining clients. The role focuses on building predictive and optimization models to improve operational efficiency and business performance.

Key Responsibilities:

Build ML/analytics models for:

- Demand forecasting

- Predictive maintenance & asset analytics

- Supply chain & inventory optimization

- Price / risk analytics

- Perform data analysis, feature engineering, and model validation

- Translate business problems into data science solutions

- Deliver insights and recommendations to client stakeholders

- Deploy models on cloud platforms (Azure/AWS/Databricks)

Required Skills:

- 5-8 years experience in Data Science / Advanced Analytics

- Strong in Python, SQL, PySpark

- Experience in ML, statistics, and time-series forecasting

- Exposure to cloud platforms & data engineering pipelines

- Experience in Energy/Utilities/Oil & Gas/Metals/Mining domain preferred

Education:

- Bachelor's or Master's degree in Engineering, Statistics, Mathematics, Computer Science, Economics, or related quantitative field

- Candidates from Tier 1 / Tier 2 institutes preferred

Good to Have:

- Predictive maintenance / operations analytics experience

- Optimization / OR modeling exposure

- Basic exposure to AI/GenAI use cases (optional)

Why Join?

- Work on large-scale analytics transformation programs

- Collaborate with global clients and industry experts

- High-impact consulting role with strong growth opportunities

Apply now to work on advanced analytics solutions for global Resources clients