Data Scientist

Mahindra and Mahindra Limited [Automotive and Farm Equipment Business]; Chakan; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Mahindra and Mahindra Limited is seeking a Data Scientist to own end-to-end AI initiatives, combining deep technical expertise with strategic impact. The role requires translating business problems into analytics, designing ML models, and delivering data pipelines that drive enterprise-wide insights.

The ideal candidate has 3–5 years of hands-on experience in data science, with proficiency in Python, SQL, and ML frameworks, and strong communication to engage stakeholders across functions.

Qualifications

• B.E / B.tech / M.Tech required.
• 3–5 years hands-on data science experience.
• Strong Python and SQL programming skills.
• Experience with ML frameworks and data pipelines.

Responsibilities

• Translate high-level business problems into analytical frameworks.
• Design, build, and deploy machine learning models, statistical frameworks, and data pipelines.
• Perform deep data exploration and generate actionable insights.
• Work on problems including predictive modeling, segmentation, NLP, and computer vision as needed.
• Conduct robust feature engineering, model evaluation, and tuning.
• Communicate findings clearly to technical and non-technical stakeholders.
• Manage timelines, prioritize tasks, and align with cross-functional stakeholders.

Skills

Python

SQL

scikit-learn

TensorFlow

PyTorch

XGBoost

Education

B.E / B.tech / M.Tech

Tools

Pandas

NumPy

Job description

Job Description:

Job Purpose

A balanced mix of hands-on expertise as a data scientistand team management capabilities. The ideal candidate is someone who thrives at the intersection of technical depth and strategic impact. The candidate will own critical projects end-to-end to drive enterprise-wide AI initiatives.

Key Responsibilities

1. Translate high-level business problems into analytical frameworks
2. Design, build, and deploy machine learning models, statistical frameworks, and data pipelines.
3. Perform deep data exploration and generate actionable insights.
4. Work on a range of problems including predictive modeling, segmentation, recommendation systems, NLP, and computer vision depending on project needs.
5. Conduct robust feature engineering, model evaluation, and tuning.
6. Communicate findings clearly to technical and non-technical stakeholders.
7. Manage timelines, prioritize tasks, and align with cross-functional stakeholder

Skills & Qualifications

1. Degree in B.E / B.tech / M.Tech
2. 3 - 5 years of hands-on experience in data science, machine learning, or analytics
3. Strong programming skills in Python, SQL, and proficiency with libraries like scikit-learn, TensorFlow, PyTorch, or XGBoost.
4. Strong understanding of supervised/unsupervised ML, A/B testing, and statistical modeling.
5. Excellent communication, problem-solving, and stakeholder engagement skills.
6. Experience working with both structured and unstructured data at scale.