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Principal Engineer- Powertrain Data Analytics

2 weeks ago


Chennai ChennaiMRVAD IN Mahindra And Mahindra Limited Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Principal Engineer- Powertrain Data Analytics

Responsibilities & Key Deliverables
  • Key Tasks and Deliverables

    • 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.

    2. Critical Must-Have Deliverables

    • 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.

    3. Good-to-Have Deliverables

    • 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.
Experience
  • 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.
Industry Preferred
  • Automotive OEMs and Tier-1 Suppliers
  • EV Startups or Battery Analytics Companies
  • Predictive Analytics or Mobility Platforms
  • Smart transportation or digital vehicle solutions
Qualifications
  • 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
General Requirements

Competencies and Skills

Functional Competencies

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

Tools and Techniques Used

  • 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)

Behavioral Competencies

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