Editorial summary

The company is seeking a Senior Data Scientist specializing in Generative AI and Machine Learning to design, develop, and deploy advanced analytics solutions for large-scale enterprise and public sector projects. The role involves building production-ready machine learning models using Python, R, and Apache Spark, as well as developing GenAI and Agentic AI solutions leveraging Large Language Models. Key requirements include expertise in feature engineering, statistical analysis, NLP, and experience working with large-scale data. The position offers a salary of 15,000.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job id 20542 first appeared in Job-Q.com on 18 Jul 2026]

Our client is hiring a Senior Data Scientist to design, build and deploy advanced machine learning and GenAI solutions for large-scale enterprise and public sector projects. You'll work alongside business stakeholders, engineers and project teams to turn complex data into impactful business outcomes.

What You'll D

• Design and deploy end-to-end machine learning and advanced analytics solutions
• Build production-ready ML models using Python/R and Apache Spark
• Develop GenAI and Agentic AI solutions leveraging Large Language Models (LLMs)
• Perform feature engineering, statistical analysis, NLP and predictive modelling
• Deploy models using Docker and Kubernetes
• Present insights and recommendations to both technical and business stakeholders
• Collaborate with multidisciplinary teams in delivering high-impact AI initiatives

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What We're Looking For

• Strong hands-on experience in Data Science, Machine Learning and Advanced Analytics
• Expertise in Python and/or R, with experience in Apache Spark or similar frameworks
• Experience building and deploying ML models into production environments
• Hands-on experience with Docker, Kubernetes and MLOps practices
• Experience developing GenAI/LLM-based solution
• Strong knowledge of statistics, feature engineering and model validation
• Experience with data visualisation tools such as Tableau, Plotly or Qlik
• Excellent communication and stakeholder management skills

Nice to Have

• Master's or PhD in a relevant discipline
• Consulting or client-facing experience
• Exposure to AWS, Azure or other cloud platforms
• Experience in deep learning, reinforcement learning or graph analytics

Why Join?

• Work on cutting-edge AI and GenAI projects with leading enterprise and public sector clients
• Gain exposure to large-scale production AI deployments
• Collaborate with experienced Data & AI professionals
• Competitive contract package with an opportunity to make a real impact

How To Apply

Submit your application by emailing a detailed copy of your updated Resume in MS Word Format to Lin Jin Sen (EA Personnel Reg. No. R25129852, Achieve Career Consultant Pte Ltd EA Licence No. 05C

3451)by clicking the “Apply Now” or email to andie.lin@achievegroup.asia for a confidential discussion

Current & Expected Salary

Reason(s) for leaving

Notice Period / Availability to commence work

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