Data Scientist (AI Analyst Consultant)

Recruit Express Pte Ltd; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Recruit Express Pte Ltd in Singapore seeks an AI-focused Business Analyst to translate client needs into AI/ML use cases. The role involves data exploration, framing project objectives, and delivering inception and roadmap plans with strong stakeholder engagement.

You will collaborate with architecture teams to ensure feasible prototypes and help articulate ROI through compelling proposals and client workshops.

Qualifications

• Education: Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics or related field.
• Experience: 2–4 years in AI-related Business Analysis, Data Analysis, or Technical Consulting (consulting background preferred).
• Programming literacy: Foundational Python/SQL for data manipulation and exploration.
• Applied AI/ML knowledge: Understanding of LLMs, RAG, and AI agents.
• Analytical mindset: Ability to analyze business problems and propose clear solutions.
• Communication: Strong written and verbal skills for non-technical stakeholders.
• Agile: Experience in fast-paced, iterative build-and-test environments.

Responsibilities

• Discovery and Strategy: frame business use cases and map customer journeys for AI/ML opportunities.
• Data Exploration: identify data sources, data quality, and data readiness for AI/ML initiatives.
• Inception Framework Delivery: define objectives, scope, and success metrics from a business perspective.
• Elevator Pitch and Vision: craft concise project value and scope boundaries.
• Roadmap and ROI: contribute to plans and ROI models for AI projects.
• Client Facing: facilitate workshops and elicit detailed requirements for AI/ML solutions.
• Collaboration: work with Solution Architecture to ensure feasibility for rapid prototyping.
• Public Advocacy: present AI/ML value to potential clients and develop proposals.

Skills

Business analysis

Data exploration

AI/ML concepts

Analytical mindset

Communication skills

Agile methodology

Client engagement

Problem framing

Education

Bachelor's degree in Computer Science or related field

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 "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.