Sept/Oct 2026 Assoc Data Science Analyst (HealthTech Associate Programme)
Synapxe Singapore
IT Services and IT Consulting · 1,001-5,000 employees
About the role
The Associate Data Science Analyst will design and develop machine learning and Generative AI solutions to solve complex business problems. They will also drive data collection, perform data mining, and present actionable insights to both technical and non-technical stakeholders.
What they look for
Requirements
Candidates must hold a Bachelor or Master degree in a relevant technical field such as Computer Science, Data Science, or Mathematics. Strong Python programming skills and hands-on experience with AI/ML frameworks and software development practices are required.
Benefits
Full description
Are you someone who enjoys problem solving, has a curious mind and more importantly, keen to make a difference in the future of HealthTech? If so, join us, and #ExperienceHealthTech. We are Synapxe. Inspiring Tomorrow's Health: https://youtu.be/3d-qIBO2i0U
HealthTech Associate Programme (HAP)
We tailored our graduate programme to provide graduates with a holistic experience to develop and sharpen their technical capabilities, professional and soft skills. Through our HAP, you will get access to challenging projects, on-the-job learning and a series of online-based classroom training and be supported with a development framework to build and drive your career.
We are currently looking for Assoc Data Science Analyst for HAP Sept/Oct 2026 intake.
Assoc Data Science Analyst
The Assoc Data Science Analyst analyses data through the application of scientific methods and data-discovery tools. You will work with data and AI models to uncover insights, solve complex business problems.
About the role:
AI Solution Development
- Design and develop data science, machine learning and Generative AI solutions.
- Build and enhance Large Language Model (LLM)-enabled capabilities such as retrieval augmented generation (RAG), document understanding, information extraction, question answering, document comparison and agentic workflows.
- Explore and assess appropriate AI models, tools and techniques based on solution accuracy, reliability, latency, security, cost and operational requirements.
- Design experiments and evaluation approaches, analyse failure cases, and recommend improvements based on evidence.
- Develop maintainable Python components, services, application programming interfaces (APIs), evaluation scripts and proof-of-concept applications to support AI solutions.
- Apply sound software engineering practices, including version control, testing, code review, documentation and configuration management.
- Work with platform and engineering teams to integrate AI capabilities into broader solutions and support deployment readiness.
- Keep abreast of developments in data science, machine learning, Generative AI, natural language processing and agentic AI, and assess their relevance.
Prepare Data Sets
- Drive data collection efforts and extract data from data sources.
- Assist with developing new data-discovery tools.
- Propose new uses for existing data sources and structures.
- Integrate multiple datasets to build large and complex datasets.
- Apply programming abilities to build software that scrubs, combines and manages data from a variety of sources.
Analyse Data
- Apply data mining techniques and programming skills to investigate leads, identify patterns and regularities in data.
- Develop data models based on advanced statistical modelling, data mining and machine learning methods.
- Implement automated processes for efficiently producing scalable models.
- Identify areas for improvement in current processes, products/services or analytical models.
Stakeholder Engagement and Project Delivery
- Assist with the development of actionable recommendations.
- Present prototypes, evaluation results, recommendations, limitations and implementation considerations clearly to both technical and non-technical audiences.
- Guide stakeholders on how to act on findings.
- Prepare clear technical documentation covering solution design, setup, testing, known limitations, operational considerations and handover requirements.
- Contribute to project planning, solution recommendations and business justification where required.
About you:
- Bachelor or Master degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Mathematics, Statistics, Information Technology or a related discipline.
- Strong Python programming skills, with hands-on experience in data science, machine learning or Generative AI solutions.
- Exposure to LLM applications, prompt engineering, retrieval-augmented generation or frameworks such as LangChain or LangGraph.
- Experience with machine learning, deep learning, natural language processing or LLM development frameworks.
- Experience developing APIs, backend components and data workflows, including integration with SQL, NoSQL, vector databases, enterprise platforms or external APIs.
- Familiar with cloud platform such as Microsoft Azure or AWS AI and their machine learning services
- Experience with software development practices and tools such as Git, Jupyter, testing, technical documentation and model/application evaluation.
- Strong analytical and problem-solving skills, with the ability to work independently, take ownership and manage multiple priorities in a fast-paced environment.
- Strong communication and collaboration skills, with the ability to work across technical and business teams.
- Passionate and keen to make a difference to re-imagine the future of HealthTech
