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Data Analyst - Organisational Transformation Dept

3-5 Years
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  • Posted 7 hours ago
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Job Description

[What the role is]

Are you passionate about using data to make a real impact Be part of a team that leverages advanced analytics and AI to drive organizational transformation. You'll develop machine learning solutions, collaborate with various departments, and work with the latest tools in a flexible and inclusive environment.

This role offers opportunities for innovative problem solvers, tech enthusiasts, and those looking to advance their careers in data science and AI.

[What you will be working on]

  • Develop, test, and deploy machine learning (ML) and LLM solutions to analyse complex datasets in support of organisational goals such as optimising learner unit registration, Analytics in Education.
  • 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 qualifications 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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Job ID: 146582357

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