Data Scientist - Business Analyst (AI)

Recruit Express Pte Ltd; Singapore; On-site; SGD 80,000 - 110,000; Full time

Job summary

Recruit Express Pte Ltd is seeking an AI-focused Business Analyst to translate client needs into actionable AI/ML use cases. You will work with senior colleagues to analyze business challenges, map workflows, and identify data sources for AI readiness.

You will lead inception activities, define project objectives and ROI, and collaborate with architecture teams to ensure technical feasibility for rapid prototyping and client-ready solutions.

Qualifications

• 2–4 years of experience in AI-related Business Analysis, Data Analysis, Technical Consulting, or related field (consulting background preferred).
• Foundational programming skills (e.g., Python, SQL) for data manipulation and exploration.
• Solid understanding of modern AI paradigms including LLMs, RAG, and AI Agents.

Responsibilities

• Lead discovery and strategy to frame business use cases for AI/ML initiatives.
• Translate client needs and frame problems; map workflows and customer journeys to identify AI opportunities.
• Collaborate with solution architecture to ensure feasible business requirements for rapid prototyping.
• Develop elevator pitches and roadmaps, define scope, objectives, and ROI models for AI projects.
• Engage clients through workshops and presentations to elicit requirements and secure buy-in.

Skills

AI/ML knowledge

Data analysis

Business analysis

Technical consulting

Python

SQL

Communication

Agile

Education

Bachelor's degree

Tools

Python

SQL

Job description

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.

We regret that only shortlisted candidates will be contacted.