3 - 5 years

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Job Description

Data Scientist

Date: 12 Sept 2025
Location: Bangalore, Bangalore, IN
Company: Mahindra & Mahindra Ltd
Role Overview:
We are seeking a highly skilled and motivated Senior Data Scientist with 3-5 years of experience in Artificial Intelligence (AI) and Machine Learning (ML). The ideal candidate will be responsible for driving end-to-end problem-solving initiatives, from understanding the problem to developing predictive and prescriptive models, deploying solutions, and effectively communicating insights to stakeholders. Experience in time-series analysis and CAD/CAE will be considered a strong plus.
Key Responsibilities:
  • Problem Understanding
    • Collaborate with cross-functional teams to identify and understand business challenges.
    • Translate business problems into analytical tasks and define the problem scope.
  • Data Exploration and Preparation
    • Collect, clean, and preprocess large datasets from multiple sources.
    • Perform exploratory data analysis (EDA) to extract meaningful insights.
  • Model Development and Time-Series Analysis
    • Design, develop, and optimize AI/ML models to solve complex problems.
    • Apply advanced techniques to analyze and forecast time-series data.
    • Implement end-to-end machine learning pipelines, from data ingestion to deployment.
  • Deployment and Scalability
    • Build and deploy machine learning models into production environments.
    • Ensure scalability, robustness, and efficiency of deployed models.
    • Implement MLOps practices for model lifecycle management.
  • Communication
    • Present technical findings and actionable insights to non-technical stakeholders.
    • Create visualizations and reports to communicate results effectively.
  • Continuous Improvement
    • Stay updated with the latest advancements in AI/ML technologies.
    • Experiment with new tools and techniques to enhance model performance
Experience
  • 3-5 years of hands-on experience in AI/ML model development, deployment, and lifecycle management.
Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related fields.
Required Skills:
  • Proficiency in programming languages like Python.
  • Strong knowledge of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and optimization techniques.
  • Experience working with time-series data analysis and forecasting techniques.
  • Expertise in deploying models using cloud platforms (AWS, GCP, Azure) and containerization tools (e.g., Docker, Kubernetes).
  • Excellent communication and presentation skills to convey complex ideas clearly.


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