Key Result Areas:

• Continuously assess and provide inputs to refine data science practices and strategies to ensure alignment with evolving business needs (New Fuels, Raw material, Equipment design or technology, or Product innovation) and Industry 4.0 technological advancements.
• Facilitate the redesign of business processes through digital solutions such as Generative AI and Knowledge graph, adopting a design thinking approach for ideation and employing Agile methodology for efficient execution.
• Utilize tools and methodologies eg: Python, PowerBI, Orange, GPTs for analyzing trends & patterns within big data sets to inform business decisions across functions & at all levels. Clean, preprocess, & transform the data to ensure it's of high quality, with missing values handled & outliers addressed.
• Employ advanced analytics techniques for predictive modeling & machine learning algorithms like Neural Networks, XGBoost, Autoencoders etc to improve process and equipment reliability & resilience to ever-increasing external sources of variability.
• Test, iterate, and deploy above tools as part of Pilot programs, inline with digital strategy roadmap.
• Conduct hands-on testing and validation of AI/ML models to gauge their effectiveness and refine their performance continually.
• Work closely with different business units to understand their needs and integrate data science solutions into their digital strategy.
• Implement continuous monitoring processes for AI models to ensure performance accuracy, detect drift, and make timely adjustments.
• Ensure seamless handover of solutions to Digital Execution team for scale up, and continuously monitor for improvement areas. Document the entire project, including data sources, methodologies, model architecture, and any decisions made throughout the process.

Qualifications: B.E/B.tech/ PG in data science

Location: Worli, Mumbai