Data Scientist - Organisational Transformation Department

Nanyang Polytechnic

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[What the role is]
We are looking for an innovative Data Scientist to join our organisational transformation team to deliver new digital initiatives through advanced data analytics and AI. You will play a pivotal role in leveraging data to uncover valuable insights, providing recommendations to enhance strategic decision making.

[What you will be working on]

  • Develop, test, and deploy machine learning (ML) and large language model (LLM) solutions to analyse complex datasets in support of organisational goals.

  • Monitor, troubleshoot and refine the performance and scalability of AI applications.

  • Collaborate with cross-functional teams of data engineers, data analysts, product managers, and domain experts to deliver timely and relevant AI solutions.

  • Research, evaluate and implement new tools and technologies to enhance AI capabilities.

  • Undertake other responsibilities as assigned to support NYP’s transformation efforts.

[What we are looking for]

  • Relevant academic or professional qualification in computer science, statistics, mathematics, or a related field.

  • At least 3 years of experience in developing data science or ML projects.

  • Technically proficient in Python, SQL, data preparation, use of data science and ML libraries and frameworks (e.g., PyTorch, scikit-learn, pandas). 

  • Knowledge of data engineering principles and architecture, AI operations tools and methodologies (e.g., MLOps, CI/CD) and BI tools (e.g. PowerBI).

  • Experience in deploying and managing AI applications in cloud environments (e.g., AWS, Databricks) would be an added advantage.

  • Strong written and presentation skills, analytical and innovative, thrives independently in a collaborative working environment.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: Architecture AWS CI/CD Computer Science Data Analytics Databricks Engineering LLMs Machine Learning Mathematics MLOps Pandas Power BI Python PyTorch Research Scikit-learn SQL Statistics

Region: Asia/Pacific
Country: Singapore

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