AI & Data Intern: Hands-On ML & Insights

Temus; Singapore; On-site; SGD 16,740 - 27,900; Full time

Job summary

A consulting firm based in Singapore is looking for an Intern to support the AI & Data team. The role involves gathering and analyzing data, assisting in machine learning projects, and contributing to data pipeline development. Ideal candidates are currently pursuing a degree in Computer Science or Data Science, have strong programming skills in Python, R, or Java, and show excellent problem-solving abilities. Join us in contributing to various innovative data-driven initiatives and gain valuable experience.

Qualifications

• Currently pursuing a degree related to Computer Science or Data Science.
• Strong understanding of data structures and algorithms.
• Proficient in programming languages like Python, R, or Java.
• Familiarity with machine learning algorithms and techniques.
• Excellent problem-solving and communication skills.
• Ability to handle a fast-paced workload.

Responsibilities

• Collaborate with teams to gather and analyze data.
• Assist in the development of machine learning models.
• Conduct exploratory data analysis for insights.
• Support cleaning and transformation tasks for data.
• Contribute to building data pipelines and dashboards.

Skills

Data structures

Algorithms

Statistical concepts

Python

R

Java

AI Engineering

ML Engineering

Data Engineering

Problem-solving

Communication

Teamwork

Education

Pursuing a Diploma, Bachelor's or Master's degree in Computer Science, Data Science

Tools

AWS

Azure

GCP

Job description

A consulting firm based in Singapore is looking for an Intern to support the AI & Data team. The role involves gathering and analyzing data, assisting in machine learning projects, and contributing to data pipeline development. Ideal candidates are currently pursuing a degree in Computer Science or Data Science, have strong programming skills in Python, R, or Java, and show excellent problem-solving abilities. Join us in contributing to various innovative data-driven initiatives and gain valuable experience.