Data Science Intern — AI for Preventive Health Insights

ACTXA PTE. LTD.; Singapore; On-site; SGD 13,000 - 20,000; Full time

Job summary

Actxa Pte Ltd, a Singapore-based deep tech company, invites a data science student in their final year or Year 3 to join as an intern. You will support data scientists in healthcare research, handle data collection and preprocessing, and help prototype data-driven health insights using ML and DL methods.

Exposure to generative AI and LLMs will be explored. The role emphasizes hands-on experimentation with AI tools, documentation of findings, and potential co-authorship of research publications

Qualifications

• Pursuing a data science/CS/engineering degree in final year or Year 3.
• Strong Python and SQL skills; R is a plus.
• Solid understanding of machine learning; knowledge of signal processing is a plus.
• Familiarity with LLMs and related frameworks is beneficial.
• Interest in digital health, wellness and fitness domains.
• Positive attitude, adaptable and eager to learn new tech.

Responsibilities

• Assist data scientists in public healthcare research and development.
• Perform data collection, organization, storage and processing.
• Develop data-driven solutions using ML and DL methods.
• Explore AI/LLM applications for personalized health insights.
• Use AI tools to accelerate analysis while validating outputs.
• Document research, experiments and modelling results.
• Potential to co-author research publications.

Skills

Python

SQL

R

Machine Learning

LLMs

Education

Year 3 or final year in Data Science/CS/Computer Engineering

Tools

Hugging Face

LangChain

LLM APIs

Job description

Actxa Pte Ltd, a Singapore-based deep tech company, invites a data science student in their final year or Year 3 to join as an intern. You will support data scientists in healthcare research, handle data collection and preprocessing, and help prototype data-driven health insights using ML and DL methods.

Exposure to generative AI and LLMs will be explored. The role emphasizes hands-on experimentation with AI tools, documentation of findings, and potential co-authorship of research publications