Sept/Oct 2026 Assoc Data Science Analyst (HealthTech Associate Programme)

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