Responsibilities
- Work with business analysts and internal stakeholders to identify business problems and opportunities propose analytics solutions, as well as data and technology requirements, and formalize them into a project Analytics solutions which include, but are not limited to report automation, advanced analytics, and AI engines
- Work with data engineers to plan, identify,and integrate data from multiple source systems to enterprise data platform for analytics purposes
- Perform data exploration, preprocess, and analyse the data (both structured and unstructured) develop and deploy machine learning/deep learning models
- Create dashboards to communicate and present key findings to stakeholders, and manage UAT
- Work with the team to run and prioritise projects according to objectives and business impact
- Design and build Generative AI applications like GPT-enabled chatbots to innovate and drive impactful solutions in the company
- Explore new methodologies for increasing the efficiency and effectiveness of Generative AI applications
- Continuously evaluate and enhance the performance of Generative AI models through rigorous testing andexperimentation
Requirements
- Bachelor's or master's degree in Data Science, Statistics, Computer Science, Computer Engineering or equivalent disciplines that focused on extensive use of data for analysis
- Strong programming experience using python or spark, with solid understanding of data science concepts.
- Practical knowledge in statistical and machine learning techniques including Regression, Random Forest, Boosting, Trees, Text Mining, Network Analysis, etc
- Practical knowledge in deep learning techniques including computer version, NLP, etc
- Experience in data visualization software such as Power BI or Tableau
- Good collaboration and communication skills to work effectively across teams and partner with business stakeholders
- Beneficial to possess knowledge or practicalexperience in generative AI or developing LLM applications using the Microsoft Azure stack or third-party packages such as LangChain.
Only shortlisted candidates will be notified.
