Data Scientist

Mahindra And Mahindra Limited; Chakan; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

Mahindra And Mahindra Limited is seeking a Data Scientist to drive end-to-end AI initiatives across enterprise-scale projects. The role balances hands-on modeling with team leadership and strategic impact.

You will translate business problems into analytical plans, develop pipelines, and shepherd models from concept to production while collaborating with cross-functional teams. Strong communication and stakeholder engagement are essential for success in this dynamic environment.

Qualifications

• Degree in B.E / B.Tech / M.Tech
• 3–5 years of hands-on data science, ML, or analytics
• Strong programming in Python and SQL; experience with ML libraries

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, recommendations, 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

Communication

Problem-solving

Stakeholder engagement

Education

B.E./B.Tech./M.Tech in Engineering

Tools

Python

SQL

scikit-learn

TensorFlow

PyTorch

XGBoost

Job description

Data Scientist Job Purpose

A balanced mix of hands-on expertise as a data scientist and 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

• 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 a range of problems including predictive modeling, segmentation, recommendation systems, NLP, and computer vision depending on project needs.
• 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 stakeholder

Skills & Qualifications

Degree in B.E / B.tech / M.Tech

3 - 5 years of hands-on experience in data science, machine learning, or analytics

• Strong programming skills in Python, SQL, and proficiency with libraries like scikit-learn, TensorFlow, PyTorch, or XGBoost.
• Strong understanding of supervised/unsupervised ML, A/B testing, and statistical modeling.
• Excellent communication, problem-solving, and stakeholder engagement skills.
• Experience working with both structured and unstructured data at scale.

Experience Level

Mid Level