Data Scientist

Mahindra And Mahindra Ltd.; Chakan; On-site; INR 1,000,000 - 1,800,000; Full time

Job summary

Mahindra And Mahindra Ltd. is seeking a data scientist with 3–5 years of hands-on experience to drive enterprise-wide AI initiatives. You will design, build, and deploy machine learning models and data pipelines, and translate business problems into analytical frameworks.

You will perform deep data exploration, work on predictive modeling, NLP, CV, and collaborate with cross-functional stakeholders to deliver end-to-end results.

Qualifications

• Degree in B.E / Btech / M.Tech required.
• 3-5 years hands-on data science/ML analytics.
• Proficient in Python, SQL and ML libraries.
• Experience with structured and unstructured data at scale.
• Strong communication and stakeholder engagement.

Responsibilities

• Translate high-level business problems into analytical frameworks.

Skills

Python

SQL

scikit-learn

TensorFlow

PyTorch

XGBoost

Education

B.E / Btech / M.Tech

Tools

TensorFlow

PyTorch

scikit-learn

XGBoost

Job description

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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

• 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 / Btech / 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.

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Scientific, Engineer, Engineering