Mahindra & Mahindra Ltd
Organization: Mahindra & Mahindra Ltd
Role: Senior Data Scientist
Location: MITC, Kandivli, India
Job Type: Full Time
Category: Private Jobs / Artificial Intelligence / Data Science
Posted Date: 25 March 2026
Application Status: Application Live
Official Application Link:
https://jobs.mahindracareers.com/job/MITC%2C-Kandivli-Senior-Data-Scientist-MITC/1329669700/
Introduction
Mahindra & Mahindra Ltd has announced a career opportunity for the role of Senior Data Scientist in the Mahindra AI Division, based at MITC, Kandivli. This position is highly relevant for professionals working in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, Generative AI, and Large Language Models (LLMs).
Mahindra AI Division is the innovation-focused unit within the Mahindra Group that develops enterprise-scale AI solutions to improve productivity, automation, and decision-making across business functions. The division actively works on emerging technologies such as LLMs, SLMs, predictive analytics models, NLP systems, and deep learning pipelines.
Candidates with experience in Python-based ML ecosystems, TensorFlow/PyTorch frameworks, MLOps pipelines, cloud deployment platforms, and Generative AI engineering should strongly consider this opportunity.
This article presents a fully structured, SEO-optimized summary of the official job notification to help candidates understand eligibility, responsibilities, skills required, career prospects, and preparation strategy.
Important Links
Apply Online (Official Website)
https://jobs.mahindracareers.com/job/MITC%2C-Kandivli-Senior-Data-Scientist-MITC/1329669700/
About Mahindra AI Division
Mahindra AI Division is the dedicated artificial intelligence innovation arm of Mahindra Group. The division focuses on applying advanced AI technologies to solve real-world business problems across industries such as manufacturing, automotive, finance, logistics, and digital platforms.
The team works on:
- Artificial Intelligence product innovation
- Enterprise AI adoption
- Machine learning lifecycle engineering
- Natural language processing applications
- Generative AI model deployment
- Predictive analytics solutions
- Data-driven automation tools
Mahindra AI Division aims to integrate advanced algorithms with business intelligence to deliver scalable and efficient AI systems capable of improving decision-making and operational efficiency.
With increasing adoption of enterprise AI technologies, the division is expanding its team to strengthen capabilities in:
- Deep learning engineering
- Generative AI systems
- LLM-based applications
- AI model deployment pipelines
- Enterprise-scale ML infrastructure
Job Overview
Position Summary
| Parameter | Details |
|---|---|
| Organization | Mahindra & Mahindra Ltd |
| Role | Senior Data Scientist |
| Location | MITC, Kandivli |
| Job Type | Full Time |
| Experience Required | 4–7+ years |
| Domain | Artificial Intelligence / Machine Learning |
| Functional Area | Engineering / Scientific |
| Application Mode | Online |
| Application Status | Live |
Key Responsibilities
The Senior Data Scientist will contribute to the design, development, optimization, and deployment of AI-powered solutions across enterprise use cases.
Core Responsibilities
- Provide technical expertise in Artificial Intelligence, Machine Learning, and Deep Learning systems
- Work extensively with large structured datasets to develop predictive analytics models
- Perform feature engineering to improve model accuracy and reliability
- Apply machine learning algorithms including:
- Regression models
- Classification techniques
- Ensemble learning methods
- Clustering algorithms
- Build deep learning models capable of processing structured and unstructured data such as:
- Text datasets
- Audio datasets
- Design solutions for audio-related AI use cases including:
- Speech recognition
- Audio classification
- Signal processing workflows
- Develop enterprise-ready Generative AI solutions using:
- Large Language Models (LLMs)
- Small Language Models (SLMs)
- Apply prompt engineering techniques to optimize model performance
- Translate business challenges into structured machine learning problems
- Deploy production-ready machine learning models with emphasis on:
- Scalability
- Maintainability
- Performance optimization
- Collaborate with cross-functional teams including:
- Product managers
- Data engineers
- Software developers
- Domain specialists
- Mentor junior data scientists and interns to encourage innovation and technical excellence
- Ensure best practices in:
- Model monitoring
- Experiment tracking
- Reproducibility
- MLOps lifecycle management
Educational Qualification
Candidates must satisfy one of the following eligibility criteria:
- Bachelor’s degree with minimum 7 years of relevant experience in Data Science, AI, or Machine Learning
OR - Master’s degree with minimum 4 years of relevant experience in Data Science, AI, or Machine Learning
Preferred Academic Institutions
Preference may be given to candidates graduating from:
- IIT
- IISc
- NIT
- Tier-1 or Tier-2 institutes
- Globally recognized universities ranked under QS ranking frameworks
Relevant academic disciplines include:
- Computer Science
- Artificial Intelligence
- Machine Learning
- Statistics
- Applied Mathematics
- Electrical Engineering
- Information Technology
Technical Skills Required
Machine Learning Expertise
Candidates should possess strong knowledge of traditional machine learning approaches:
- Decision Trees
- Random Forest algorithms
- Gradient Boosting frameworks
- Support Vector Machines
- Clustering algorithms
- Feature engineering techniques
- Model evaluation metrics
Strong experience working with large-scale tabular datasets is required.
Deep Learning Skills
Hands-on experience with deep learning frameworks:
- TensorFlow
- PyTorch
Understanding of neural network architectures including:
- Convolutional Neural Networks
- Recurrent Neural Networks
- Transformer architectures
Experience working with text and audio datasets is advantageous.
Generative AI and LLM Skills (Mandatory)
Candidates must demonstrate working knowledge of:
- Large Language Models (LLMs)
- Small Language Models (SLMs)
- Prompt engineering methodologies
- Fine-tuning transformer models
- Enterprise generative AI deployment strategies
- NLP based enterprise automation tools
Practical exposure to real-world GenAI applications is strongly preferred.
Programming Skills
Strong programming proficiency in:
- Python programming language
- NumPy
- Pandas
- Scikit-learn
Candidates should be comfortable implementing end-to-end machine learning workflows.
MLOps and Deployment Tools
Understanding of model deployment infrastructure:
- ONNX
- Triton inference server
- TensorRT optimization engine
- FastAPI based deployment pipelines
Knowledge of reproducible pipelines and model monitoring tools is important.
Cloud Platforms
Exposure to cloud-based ML training and deployment:
- Microsoft Azure
- Google Cloud Platform (GCP)
Additional advantage:
- Databricks platform experience
Skill Matrix Summary
| Skill Area | Technologies |
|---|---|
| Programming | Python, NumPy, Pandas |
| ML Algorithms | Regression, Classification, Clustering |
| Deep Learning | TensorFlow, PyTorch |
| Generative AI | LLM, SLM |
| Deployment | ONNX, TensorRT, Triton |
| API Integration | FastAPI |
| Cloud | Azure, GCP |
| Data Platforms | Databricks |
Importance of Role in Modern Industry
Artificial Intelligence continues to transform modern enterprises through intelligent automation, predictive analytics, and digital transformation initiatives.
Senior Data Scientists play a critical role in:
- Building predictive decision-making systems
- Enabling enterprise automation
- Enhancing customer experience through AI
- Implementing NLP-driven digital interfaces
- Designing scalable machine learning infrastructure
- Supporting enterprise digital transformation strategies
Generative AI technologies such as LLMs are rapidly transforming enterprise workflows including:
- Document summarization
- Chatbot development
- Knowledge retrieval systems
- AI copilots for enterprise software
- Intelligent search systems
Professionals skilled in LLM engineering and AI deployment are in high demand across industries.
Who Should Apply for this Senior Data Scientist Role
This position is suitable for:
- Experienced Data Scientists seeking advanced AI roles
- Machine Learning Engineers interested in Generative AI
- AI Researchers transitioning to enterprise AI roles
- NLP Engineers working with transformer models
- Professionals interested in large-scale ML systems
Ideal candidates should have:
- Strong analytical problem-solving ability
- Practical experience with ML models
- Understanding of deployment pipelines
- Ability to collaborate with engineering teams
- Passion for innovation in AI technologies
Preparation Guide for Candidates
Candidates preparing for this role should focus on strengthening both theoretical foundations and practical project experience.
Key Areas to Focus
Machine Learning Fundamentals
- Supervised learning algorithms
- Unsupervised learning algorithms
- Feature engineering strategies
- Model evaluation metrics
- Hyperparameter optimization techniques
Deep Learning Preparation
- Neural network fundamentals
- Transformer architecture
- Sequence models
- Model optimization strategies
Generative AI Preparation
- Prompt engineering frameworks
- Fine tuning transformer models
- Retrieval Augmented Generation (RAG)
- Embedding models
- Vector database integration
Practical Implementation Skills
- Python programming exercises
- End-to-end ML pipeline projects
- Model deployment simulations
- Kaggle competitions
Salary Insight
Salary varies depending on experience level, project exposure, and technical specialization.
Estimated salary range for Senior Data Scientist roles in India:
₹18 LPA to ₹40 LPA (industry indicative estimate)
Factors influencing salary:
- Experience in Generative AI
- LLM fine-tuning expertise
- MLOps experience
- Cloud deployment capability
- Portfolio of ML projects
Actual salary will be determined by employer evaluation.
Career Growth Opportunities for The Senior Data Scientist
Career progression pathways:
- Lead Data Scientist
- Principal AI Engineer
- AI Architect
- Head of Data Science
- Director of AI Engineering
With growing enterprise adoption of AI technologies, experienced AI professionals continue to see strong career growth opportunities.
Frequently Asked Questions (FAQ)
What is the job location?
MITC, Kandivli, India.
What experience is required?
Minimum 4–7 years experience depending on educational qualification.
Is Generative AI experience mandatory?
Yes, experience working with LLMs and GenAI solutions is required.
Which programming language is required?
Python programming expertise is required.
Is cloud experience required?
Azure or GCP experience is preferred.
What type of data will be handled?
Structured and unstructured data including text and audio datasets.
Is the application currently open?
Yes, the application is live.
How to Apply
Interested candidates should apply through the official application link provided below:
https://jobs.mahindracareers.com/job/MITC%2C-Kandivli-Senior-Data-Scientist-MITC/1329669700/
Steps to apply:
- Visit official application page
- Review job responsibilities and requirements
- Prepare updated resume highlighting AI experience
- Submit application online
Related Job Opportunities
Candidates interested in AI, software engineering, and SAP-related enterprise roles may also explore:
- Manager SAP QM role in pharmaceutical digital systems
https://growinjob.com/job/manager-sap-qm-sun-pharma-mumbai/ - Full stack developer role in AI-focused SAP team
https://growinjob.com/job/full-stack-developer-ai-core-team-sap-bangalore/ - SAP Transportation Management functional leadership role
https://growinjob.com/job/sap-tm-functional-lead-cognizant-bangalore/ - Enterprise application developer opportunity
https://growinjob.com/job/developer-cognizant-bangalore/
Exploring similar job categories helps candidates understand industry demand trends and skill requirements.
Final Words for The Senior Data Scientist role at Mahindra & Mahindra Ltd
Artificial Intelligence is transforming the global employment landscape. Organizations are increasingly adopting machine learning and generative AI technologies to improve efficiency, productivity, and decision-making.
The Senior Data Scientist role at Mahindra & Mahindra Ltd offers an opportunity to work on advanced AI systems capable of solving real-world business challenges.
Candidates interested in building expertise in LLMs, deep learning systems, and enterprise AI platforms should consider applying after carefully reviewing eligibility criteria.
Always refer to the official website for the most accurate and updated information.
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