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Data Scientist

MISSION.PLUS PTE. LTD.

Singapore

On-site

SGD 60,000 - 80,000

Full time

Today
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Job summary

A leading AI solutions company in Singapore is seeking a data scientist to design, build, and maintain scalable AI models. The ideal candidate will have a Bachelor's degree in a relevant field, proven experience with AI solutions, and strong proficiency in Python and SQL. Responsibilities include leading the development of LLM-powered chatbots and translating strategic objectives into actionable AI tasks. This 12-month contract role offers a dynamic work environment and opportunities for extension.

Qualifications

  • Bachelor's degree in a relevant field; Master's or PhD preferred.
  • Hands-on experience in delivering AI or data-driven solutions.
  • Proficiency in Python and SQL, with experience in AI tools.

Responsibilities

  • Design, build, deploy, and maintain scalable data science models.
  • Translate business objectives into actionable data science requirements.
  • Lead development of LLM-powered chatbots and AI solutions.

Skills

Python
SQL
Data Science
Machine Learning
AI frameworks and tools

Education

Bachelor’s degree in Computer Science, AI, Data Science, or related field
Master’s or PhD in relevant fields
Job description

12 month Contract position with potential to extend/convert

Key Responsibilities
  • Design, build, deploy, and maintain scalable data science and AI models to address complex business and research problems
  • Translate business and strategic objectives into clear, actionable data science and machine learning requirements
  • Lead the development and optimisation of LLM-powered chatbots and conversational agents, including Generative and Agentic AI solutions
  • Develop and evaluate machine learning models across structured and unstructured dataCommunicate insights, results, and recommendations effectively to both technical and non-technical stakeholders
Qualification
  • Bachelor’s degree in Computer Science, AI, Data Science, or a related field; Master’s or PhD is preferred.
  • Proven hands‑on experience building and delivering AI or data‑driven solutions in real‑world environments
  • Strong proficiency in Python and SQL, with practical experience using modern AI frameworks and tools
  • Experience with advanced analytics (customer modelling, clustering, geospatial, churn); plus model lifecycle management, experiment tracking, and LLM cost/performance optimisation.
  • Experience deploying, scaling, and operating AI solutions on public cloud
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