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 Email, [HIDDEN TEXT]

Fabian Ling Tuong Liing

R25129353

Recruit Express Pte Ltd

EA Licence No: 99C4599

We regret that only shortlisted candidates will be contacted.

Data Scientist | Business Analyst (AI)