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Sr. Data Scientist

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Onsite

Sr. Data Scientist

Mahindra & Mahindra Ltd

Sr. Data Scientist

Skills

Google Cloud PlatformDeep LearningDockerPythonData ScienceNumPypandasPyTorchTensorFlowData AnalysisMachine LearningAIAWSNLP / Natural Language ProcessingFastAPIAzure

4 months ago

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Important information


Location:

Karnataka, India

Work mode:

Onsite

Published on:

25 September 2026

What they need


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Sr. Data Scientist

Date: 13 Jun 2026

Location: Bangalore, Bangalore, IN

Company: Mahindra & Mahindra Ltd

We are seeking a hands-on Senior Data Scientist with strong AI/ML engineering capabilities to join Mahindra AI. You will be responsible for building intelligent systems that analyze vehicle data, predict resale value, assess condition, and optimize pricing strategies using advanced machine learning techniques.

Key Responsibilities

  • Design, develop, and deploy AI/ML models for:
    • Predictive pricing and valuation of used vehicles.
    • Vehicle condition and wear analysis/prediction using sensor and inspection data.
  • Build and maintain end-to-end ML pipelines using Python.
  • Work with large-scale automotive datasets, including structured, unstructured, and time-series data.
  • Collaborate with product managers, data engineers, and business stakeholders to deliver production-grade solutions.
  • Conduct model performance monitoring, retraining, and optimization.
  • Develop dashboards and visualizations to communicate insights effectively.

Location: Bangalore, India

Experience: 3-5 years

Required Skills

  • Strong programming skills in Python with hands-on experience in model development and deployment:
    • scikit-learn, XGBoost/Catboost, TensorFlow, PyTorch
    • Pandas, NumPy, Matplotlib, Seaborn
  • Experience with ML model deployment using tools like Docker, FastAPI, MLflow.
  • Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps practices.
  • Solid understanding of data preprocessing, feature engineering, and model evaluation.
  • Ability to work independently and take ownership of projects.

Preferred Qualifications

  • Bachelor’s degree in computer science, Data Science, Statistics, or related field.
  • Experience in automotive analytics, mobility, or retail pricing domains will be a plus.
  • Exposure to GenAI, NLP, or deep learning is a plus.

Job Segment: Scientific, Engineer, Engineering, Automotive

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