Editorial summary

The company is seeking a Data Scientist (Junior-Mid Level) to engage with clients and internal teams to identify AI/ML opportunities, assess data quality, and translate business problems into actionable use cases. The role involves project scoping, defining objectives and success metrics, and collaborating with business stakeholders and technical teams to develop product visions and implementation plans. Key requirements include strong problem-solving abilities, experience in AI/ML solution design, and the ability to work across business and technical domains. Compensation is 6000.

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

Job description

[This job https://singapore.job-q.com/jobs/detail/data-scientist-junior-mid-level-iac-39739 first appeared in Job-Q.com on 23 Oct 2026]

Job Responsibilities

1. Business Discovery & Use Case Identification

• Engage with clients and internal teams to understand business challenges, map workflows, and identify opportunities for AI/ML adoption.
• Explore client or public datasets to assess data quality, availability, and readiness for AI/ML applications.
• Translate business problems into clearly defined AI/ML use cases aligned with business objectives.

2. Project Scoping & Strategy

• Define project objectives, scope, requirements, and success metrics in collaboration with business stakeholders and technical teams.
• Develop product vision, project roadmaps, and implementation plans, including prioritization of key features and deliverables.
• Contribute to business cases and ROI assessments to evaluate the potential value and feasibility of AI/ML initiatives.

3. Client Engagement & Solution Collaboration

• Facilitate client workshops, interviews, and discovery sessions to gather business and technical requirements.
• Act as a liaison between clients, business stakeholders, and technical teams to ensure requirements are clearly communicated.
• Collaborate with solution architects and AI/ML engineers to conceptualize solutions and support rapid prototyping.
• Prepare presentations and proposals that communicate AI capabilities, solution approaches, and business benefits in clear, accessible language.
• Any other ad-hoc duties as assigned by supervisor

Requirements

• Bachelor's degree in Computer Science, Data Science, Engineering, Business Analytics, Information Technology, or a related field.
• 2–4 years of experience in business analysis, data analysis, technical consulting, AI/ML projects, or a related field. Consulting experience is an advantage.
• Decent working knowledge of Python and SQL for data manipulation, querying, and exploratory data analysis.
• Good conceptual understanding of AI/ML technologies, particularly Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agents.

Interested applicants, please email your resume to Andre Chua Jing Ming

Email:

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