Editorial summary

The company is seeking a Data Scientist (AI Analyst Consultant) to lead discovery and strategy efforts, translating client needs and framing business problems, and mapping workflows to identify AI/ML opportunities. The role involves proactive data exploration to assess data sources, quality, and readiness for AI initiatives, and collaborating with clients and senior teammates to define use cases. Key requirements include experience in business problem framing, data analysis, and cross-functional collaboration in AI/ML contexts. The position offers a salary of 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-ai-analyst-consultant-39378 first appeared in Job-Q.com on 22 Oct 2026]

DUTIES AND RESPONSIBILITIES:

1. Discovery and Strategy to frame business use case

● Client Needs Translation & Problem Framing:

○ Work with clients and senior teammates to analyze business challenges, map workflows (service blueprints) to better understand customer journey in order to identify gaps and opportunities for AI/ML use cases.

● Data Exploration for Business Use Cases:

○ Proactively analyze and explore client data (or analogous public/industry data) to identify key data sources, assess data quality, and determine data readiness for AI/ML initiatives.

2. Inception Framework Delivery

● Why We Are Here:

○ Define initial AI/ML project objectives, scope, and success metrics from a business perspective, ability to bridge AI and ML into the business statement.

● The Elevator Pitch

○ Create a concise summary of the project’s value, target users, and primary differentiation.

● Product Vision & Scope

○ Establish a clear vision board and defi ne "In" vs. "Out" lists to manage expectations and prevent scope creep.

● Trade-off Sliders

○ Prioritize project constraints—Scope, Budget, Time, and Quality—to guide decision-making during the lifecycle.

● Roadmap Creation

○ Help create "What’s Next" plans and ROI (return on investment) models to show the value of the AI project.

3. Client Facing & Approaches

● Client Engagement & Requirements Elicitation:

○ Facilitate client workshops, interviews, and discovery sessions to elicit detailed functional and non-functional requirements for AI/ML solutions.

○ Act as a primary liaison between client business stakeholders and the internal technical team.

● Solution Conceptualization & Collaboration:

○ Collaborate closely with the Solution Architecture team to ensure business requirements are technically feasible and well-understood for rapid prototyping efforts.

○ Contribute to the design and conceptualization of initial AI/ML solution architectures.

● Public Advocacy & Education to promote AI

○ Public speaking to educate potential clients on the transformative power of AI/ML, simplifying complex technical concepts into clear business benefits.

○ Develop and deliver compelling presentations and proposals that articulate the value and ROI of AI/ML solutions.

QUALIFICATIONS AND EXPERIENCES:

● Education: Minimum Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics , Information Technology, Business Analytics, Artificial Intelligence, Information Systems or a related field.

● Experience: 2–4 years of experience in AI-related Business Analysis, Data Analysis, Technical Consulting, or a related fi eld (consulting background preferred).

● Programming & Technical Literacy: Foundational programming skills (e.g., Python, SQL) for data manipulation, querying, and script-based data exploration.

● Applied AI/ML Knowledge: A solid conceptual understanding of modern AI paradigms—including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agents.

● Analytical Mindset: Demonstrated ability to analyze unstructured business problems, identify root causes, and present clear solutions.

● Communication Skills: Strong written and verbal skills; ability to communicate technical ideas to non-technical stakeholders without heavy jargon.

● Agile Methodology: Experience working in fast-paced, iterative build-and-test environments.

Interested applicants please send your resume to

Venessa Goh Wee Ni

R24124686

Recruit Express Pte Ltd

EA License No: 99C4599

We regret that only shortlisted candidates will be contacted.

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