Collaborate with business analysts and internal stakeholders to identify business problems and opportunities

Propose analytics solutions along with the necessary data and technology requirements, and formalize these into actionable projects. Analytics solutions may include, but are not limited to: Report automation, Advanced analytics & AI-driven 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 and experimentation

Currently pursuing a Bachelor’s Degree in Computer Science, Information Technology, or other related disciplines

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

Beneficial to possess knowledge or practical experience in generative AI or developing LLM applications using the Microsoft Azure stack or third-party packages such as LangChain