Principal Engineer- Powertrain Data Analytics

• Lead advanced machine learning initiatives to identify performance trends and anomalies in EV powertrains.
• Design and implement interactive dashboards using Power BI for real-time analytics and stakeholder reporting.
• Conduct sentiment analysis on product launches using Python-based web scraping techniques.
• Enhance and customize Python packages to optimize data processing pipelines.
• Develop predictive models utilizing regression analysis and artificial neural networks to assess vehicle behavior.
• Apply Matlab or Python programming for algorithm development and simulation tasks.
• Interpret EV vehicle telemetry and analyze customer usage patterns for strategic insights.
• Architect solutions for data modeling, segmentation, and automation of customer datasets.
• Lead prognostics analytics initiatives focused on powertrain lifecycle performance and fault prediction.

• Deployment of at least two predictive models for EV powertrain performance or fault detection.
• End-to-end dashboard creation in Power BI demonstrating vehicle performance metrics and customer insights.
• Documented delivery of sentiment analysis reports using Python-based data acquisition.
• Customization and optimization of Python libraries to support analytics scalability.

• Integration experience with vehicle digital twins or onboard analytics systems.
• Insights from user experience data related to EV interface and charging behavior.
• Cross-functional collaboration exposure with design or customer experience teams.
• Authored whitepapers or patents in the EV predictive analytics domain.

• 16-18 years of proven experience in data analytics, with minimum 5 years in EV or automotive systems.
• Track record of delivering high-impact AI/ML projects focused on performance prediction or customer analytics.
• Hands-on experience with end-to-end data pipelines in automotive environments.

• Automotive OEMs and Tier-1 Suppliers
• EV Startups or Battery Analytics Companies
• Predictive Analytics or Mobility Platforms
• Smart transportation or digital vehicle solutions

• Bachelor's in Mechanical, Automotive, or Electrical Engineering (B.Tech)
• Postgraduate specialization in Data Science, AI, or Automotive Systems is an advantage
• Certifications in Python, Power BI, or machine learning frameworks are highly preferred

• EV powertrain architecture understanding
• Predictive modelling, machine learning (ANN, regression)
• Data visualization and storytelling

• Expert-level Python programming and package modification
• Power BI, Matlab
• Web scraping and natural language processing for public sentiment
• Vehicle analytics platforms (e.g., CAN data interpretation)

• Analytical thinking and problem-solving orientation
• Cross-functional leadership and stakeholder engagement
• Innovative mindset with the ability to translate data insights into action

Mahindra & Mahindra