Ganganagar, Rajasthan, India
Information Technology
Other
Mahindra & Mahindra Ltd
Overview
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.
Job Segment: CAD, Drafting, Scientific, Engineering
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