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Data Scientist

Mahindra & Mahindra Ltd -
Bengaluru, Karnataka

Job details

Qualifications

BCS
TensorFlow
Statistics
Azure
Computer Science
Software deployment
NumPy
Pandas
AWS
Docker
Bachelor's degree
Machine learning
Natural language processing
Data science
Python
Data Science
Analytics

Full job description

Data Scientist

Date: 15 May 2026

Location: Bangalore, Bangalore, IN

Company: Mahindra & Mahindra Ltd

We are seeking a hands-on 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: 2-4 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.

Exposure to CAD/automotive domain will be a plus.

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, CAD, Drafting, Engineering, Automotive

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