Senior Data Scientist
Summary
Senior Data Scientist / AI-ML Engineer in Bangalore (hybrid, 1:30-10:30 PM shift) designing, building, and validating ML models for energy-sector business problems using Python, statistics, Azure Machine Learning, and Databricks; hands-on experience with both Azure ML and Databricks is mandatory.
Hiring for Senior Data Scientist / AI-ML Engineer
Location: Bangalore - Hybrid
Shift: 1:30 PM - 10:30 PM
Experience required: 5 to 10 Years
Mandatory Requirement: Please apply only if you have hands-on experience with both Azure Machine Learning and Databricks.
Most Data Science roles ask you to build models. This one asks you to make them matter. I'm looking for a Senior Data Scientist / AI-ML Engineer to solve real-world challenges in the energy sector, combining strong statistical foundations, hands-on ML development, and business understanding.
What you'll work on:
- Design, develop, test, and validate ML models for complex business problems.
- Apply Python, statistics, probability, and advanced analytics to real-world datasets.
- Build ML solutions using Azure Machine Learning and Databricks.
- Collaborate with data engineers and domain experts to integrate models into business workflows.
- Translate model outputs into actionable insights that improve business decisions.
Mandatory requirements:
- 5+ years of hands-on Data Science / AI-ML experience.
- Strong Python, mathematics, probability, statistics, and ML model development fundamentals.
- Practical, hands-on experience with both Azure Machine Learning and Databricks. These are mandatory; profiles without experience in either will not be considered.
- Working knowledge of the Oil & Gas / Energy value chain.
- Ability to translate business problems into measurable data science solutions.
This is a client-facing opportunity focused on applied AI/ML in the energy sector, with exposure to complex business workflows and large-scale data challenges.