[Synapxe] Data Science Analyst (AI/ML)

Location: Singapore
Contact email: careersrise@bcg.com
Published: 27 days ago
Startdate: 19 June 2024 - 19 June 2024

​​​Inspiring Tomorrow's Health - a rewarding and meaningful tech career in health begins at Synapxe. Check out open roles on https://careers-public-healthtech-jobs.synapxe.sg/ !

Position Overview

1. Search model to retrieve data/documents from knowledge base.
2. Developing AI products using Large Language Models.
3. Symptom extraction and analytics engine.

Role & Responsibilities

  • Collaborate with stakeholders to understand needs for actionable insights.

  • Provide thought leadership to stakeholders in determining which analytics techniques and solutions will enable the enterprise to achieve defined business goals.

  • Execute both exploratory and data analysis to identify trends and data analysis to solve business problems.

  • Develop analytical models on large-scale healthcare related datasets to address various business and clinical problems through leveraging advanced statistical modelling, machine learning, deep learning, reinforcement learning and natural language processing techniques.

  • Make recommendations that aid in the realization of value and sustaining analytical activities, which seek to embed analytical tools within business processes.

  • Keep abreast of existing and emerging data science principles/theories/techniques.

  • Deliver projects in line with agreed standards, providing fit for purpose solutions within time, quality and budget constraints.

  • Develop AI/Analytics solution architectures complying with internal compliance.

  • Evaluate technologies/services, providing regular reporting on emerging trends, value add information and potential impact to the healthcare landscape.

  • Support ad-hoc engagements with business partners and stakeholders on analytics outreach activities.


  • Hands on experience in delivering AI solutions, data science or advanced analytic programme/projects, especially in designing and implementing data science or advanced analytics solutions on large datasets.

  • Good understanding of natural language processing, statistical modelling, machine learning, deep learning techniques and a track record of solving problems with these methods.

  • Master or bachelor degrees in Data Science, Computer Science, Statistics/Biostatistics/Bioinformatics, Mathematics, Operation Research, Physics or other quantitative disciplines.

  • Proficient in analytics tools such as Python or R.

  • Possess good verbal and written communication, analytical and conflict resolution skills with proven ability to translate complex, technical subjects into clear and concise communications to a variety of key stakeholders of different levels (e.g. senior management).

  • Versatile in working independently as well as an effective team player

  • The candidate will have extra advantage if he/she has experience in any of the following: Prompt engineering; Amazon web services; Deployment of AI models; Big Data techniques (eg: Hadoop, Spark, Hive); Public healthcare industry