Digital Place Vision Pte Ltd – R&D Intern (Fraud Detection)

Duties & Responsibilities

The R&D intern is expected to help the R&D team working on a machine learning project in the retail domain with focus on fraud predictions and analysis. Under guidance of full-time staff members, the intern will focus on:

1. Helping with machine learning model development. For example, identifying ways to improve the model design given business and operating requirements, running experiments to evaluate performance of model variants, and investigating circumstances in which a model performs poorly.

2. Helping to improve the overall software engineering process, for example, by automating certain tasks.

Required skills:

• Technical Skills

Programming Proficiency: Knowledge of Python for data manipulation and analysis. This includes experience with libraries/tools such as Pandas, NumPy, Matplotlib, Seaborn.

Machine Learning Basics: Familiarity with ML algorithms and frameworks such as Scikit-learn, TensorFlow, or PyTorch.

Software Engineering Basics: Understanding of OOP, ability to write and maintain clean code, version controls through git

• Domain Knowledge

Attention to details and ability to analyze large datasets for patterns, trends, and anomalies indicative of fraud.

Basic knowledge of data science frameworks, such as supervised, unsupervised and anomaly detection methodologies

Knowledge of statistical methods and hypothesis testing will be a plus

• Soft Skills

Strong communication and documentation skills to explain findings clearly to technical and non-technical stakeholders

Ability to communicate effectively with team members from diverse cultural and linguistic backgrounds