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Job Description
Structured overview of role & requirementsAbout This Role
Apply advanced analytical, machine learning, and statistical techniques to solve complex business problems related to energy management and real estate strategy.
Identify, source, and ensure data quality; develop, test, validate, and deploy scalable predictive models into production environments.
Collaborate cross-functionally to align insights with business objectives and create data visualizations to influence decision-making.
Minimum Requirements
Bachelor's degree in engineering or related field with >5 years experience, or Master's with >3 years, or PhD with >1 year experience in Computer Science/Statistics/Mathematics.
Experience with machine learning techniques including NLP, classification, time-series forecasting, deep learning, and multi-modal models.
Proven ability to produce production-level code and deploy analytical models at scale.
Location: Bangalore/Chennai office-based work with some flexibility.
Ideal Candidate Profile
Experienced in end-to-end data science lifecycle from problem translation to production deployment in large-scale data ecosystems.
Familiar with energy or real estate domain analytics and applying AI/ML techniques in operational contexts.
Comfortable working in cross-functional teams and adopting emerging AI technologies like LLMs and agentic workflows to enhance solutions.
