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.

Job Segment:

CAD, Drafting, Scientific, Engineering