Junior Data Scientist - AX26008

ACTXA PTE. LTD.; Singapore; On-site; SGD 60,000 - 110,000; Full time

Job summary

ACTXA PTE. LTD. in Singapore is seeking a Data Scientist to research, develop and validate algorithms that turn wearable sensor data into health insights, covering activity, sleep, stress, heart health and nutrition.

You will work with the R&D team and partners to advance the product roadmap, build ML models, and document methods, with opportunities to publish research and contribute to AI features like personalized coaching.

Qualifications

• Bachelor's or Master's in Data Science, CS, CE, Biomedical Engineering, Statistics or related field.
• 0–2 years of relevant experience; fresh graduates with internship/project experience welcome.
• Proficiency in Python and SQL; pandas, NumPy, scikit-learn, PyTorch or TensorFlow.
• Strong foundation in statistics and machine learning.
• Experience with signal processing or time-series data from wearables is a plus.
• Familiarity with LLMs, prompt engineering, Hugging Face, LangChain or LLM APIs is a plus.
• Interest in digital health and preventive healthcare.
• Able to explain findings clearly to non-technical colleagues.
• Positive, adaptable and comfortable in a small team with shifting priorities.

Responsibilities

• Research and develop algorithms turning wearable sensor data into insights on activity, sleep, stress, recovery and heart health.
• Build models for blood glucose estimation and nutrition data pipelines.
• Develop generative AI features like personalized health insights and conversational coaching.
• Design and run 연구 studies with clinical and academic partners, including data collection and quality checks.
• Clean, organize and analyze health datasets using statistical modelling, ML and deep learning.
• Test and validate algorithms and AI model outputs against reference data and document methods and results.
• Collaborate with software engineers to integrate models into Actxa's apps and products.
• Use AI-assisted tools in day-to-day R&D while critically validating outputs.
• Contribute to research publications and invention disclosures.

Skills

Python

SQL

Statistics

Machine learning

Deep learning

Time-series data

LLMs

Prompt engineering

Education

Bachelor's or Master's in Data Science/CS/CE/Bioengineering/Statistics

Tools

Pandas

NumPy

scikit-learn

PyTorch

TensorFlow

Hugging Face

LangChain

Job description

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We create evidence-based, personalized health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realize their full potential, who in turn have the opportunity to continuously drive innovation.

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

What will you do?

The Data Scientist researches, develops and validates the algorithms and AI models behind Actxa's preventive health insights. The role turns wearable sensor data and health datasets into reliable insights on activity, sleep, stress, recovery, heart health, blood glucose and nutrition, and helps build generative AI features such as personalized health insights and conversational coaching.

Working within the R&D team and alongside software engineers and research partners, the role supports Actxa's product roadmap and its research collaborations, with an emphasis on sound methods, careful validation and clear documentation.

• Research and develop algorithms that turn wearable sensor data (e.g. PPG, accelerometer, heart rate variability) into insights on activity, sleep, stress, recovery and heart health


• Build and improve models for blood glucose estimation and nutrition, including food recognition and nutrition data pipelines


• Develop generative AI and LLM-based features such as personalized health insights, conversational coaching and behavioral nudging


• Help design and run research studies with clinical and academic partners, covering protocol preparation, data collection and data quality checks


• Clean, organize and analyze health datasets using statistical modelling, machine learning and deep learning methods


• Test and validate algorithms and AI model outputs against reference data, and document methods and results clearly


• Work with software engineers to bring models into Actxa's apps and products


• Use AI-assisted tools (e.g. coding assistants, AI research agents) in day-to-day research and development, while critically validating their outputs


• Contribute to research publications and invention disclosures

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Computer Engineering, Biomedical Engineering, Statistics or a related discipline


• 0 to 2 years of relevant experience; fresh graduates with strong internship or project experience are welcome


• Good working knowledge of Python and SQL, and libraries such as pandas, NumX, scikit-learn and PyTorch or TensorFlow


• Solid foundation in statistics and machine learning


• Experience with signal processing or time-series data from wearables is a plus


• Familiarity with LLMs, prompt engineering, or frameworks such as Hugging Face, LangChain or LLM APIs is a plus


• Exposure to clinical or health research, or to glucose and nutrition data, is a plus


• Keen interest in digital health, wellness and preventive healthcare


• Able to explain findings clearly to non-technical colleagues


• Positive, adaptable and comfortable in a small team where priorities can shift


• A natural tenacity, resilience and determination