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Data Scientist

Actively Reviewing the Applications

Nu-Pie Analytics

India, Bhubaneswar, Odisha Contract On-site INR 10–22 LPA
Posted 1 day ago Apply by May 19, 2026

Job Description

Job Title: Data Scientist – Predictive Analytics

Location: Odisha (Onsite)

Experience: 5–7 Years

Joining: Immediate

Contract Duration: 6 Months (Extendable based on performance)

Industry: Aluminum & Copper Manufacturing.


Role Overview:

We are looking for experienced Data Scientists (multiple positions) to work on predictive analytics use cases for a leading Aluminum and Copper manufacturing client. The role involves building advanced machine learning models to drive data-driven decision-making across production, operations, and supply chain functions.


Key Responsibilities:

  • Develop and deploy predictive analytics models for industrial and operational use cases.
  • Perform data preprocessing, feature engineering, and exploratory data analysis (EDA).
  • Conduct model validation, evaluation, and performance tuning.
  • Interpret model outputs and communicate insights to business stakeholders.
  • Work closely with cross-functional teams including operations, engineering, and management.
  • Implement optimization techniques to improve process efficiency and performance.
  • Ensure proper documentation and model governance standards are followed.
  • Required Skills & Qualifications
  • 5–7 years of hands-on experience in Data Science and Machine Learning.
  • Strong expertise in predictive modeling techniques (regression, classification, time-series forecasting, etc.).
  • Proficiency in Python (Pandas, NumPy, scikit-learn, XGBoost, etc.) or R.
  • Experience in model evaluation metrics and interpretation methods.
  • Exposure to optimization techniques is an added advantage.
  • Experience working with manufacturing or industrial data is preferred.
  • Strong analytical thinking and problem-solving skills.
  • Good command of English and strong communication skills.


Send your updated resume to

Email- [email protected]

contact- 8884196208

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