AI R&D Intern: Demand Forecasting & Optimization

Digital Place Vision Pte Ltd; Singapore; On-site; SGD 17,000 - 23,000; Part time

Job summary

Digital Place Vision Pte Ltd invites an R&D intern to contribute to an advanced inventory optimization system for a major Asian retailer. You will build predictive demand models and an optimization engine to translate forecasts into actionable stock decisions.

Work under data science guidance, developing and deploying machine learning solutions. Proficiency in Python, Pandas, NumPy, and experience with ML regression will help you thrive in this role.

Qualifications

• Proficiency in Python and scientific computing packages (Pandas, NumPy, SciPy).
• Solid background in probability, statistics, and data analytics.
• Experience in training/evaluating ML regression models.

Responsibilities

• Develop and evaluate ML regression models for demand forecasting.
• Design and implement an optimization logic using solvers like Google OR-Tools.
• Prepare, clean, and feature-engineer large-scale retail data.
• Conduct model training, evaluation, and documentation for forecasting and optimization components.
• Gain exposure to full-cycle industrial AI/ML projects from experimentation to production readiness.

Skills

Python

Pandas

NumPy

SciPy

Git

Statistics

ML regression

Problem solving

Tools

Google OR-Tools

Polars

Dask

GCP

Job description

Digital Place Vision Pte Ltd invites an R&D intern to contribute to an advanced inventory optimization system for a major Asian retailer. You will build predictive demand models and an optimization engine to translate forecasts into actionable stock decisions.

Work under data science guidance, developing and deploying machine learning solutions. Proficiency in Python, Pandas, NumPy, and experience with ML regression will help you thrive in this role.