Data Scientist | Business Analyst (AI)

Recruit Express Pte Ltd; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

Recruit Express Pte Ltd is seeking a data-savvy AI Business Analyst to partner with clients in Singapore. You will translate business needs into AI/ML use cases, map workflows, explore data readiness, and help create ROI-driven project roadmaps.

You will work with senior teams to define objectives, scope, and measurable success criteria while bridging business and technical teams. You will also lead client workshops, elicit requirements, and collaborate with architecture teams to ensure feasible

Qualifications

• Bachelor's degree in CS, Data Science, Engineering, or related field.
• 2-4 years of AI-related business analysis or data analysis experience.
• Foundational programming skills in Python and SQL.
• Knowledge of AI paradigms including LLMs, RAG, and AI agents.
• Strong analytical and problem-solving abilities.
• Excellent written and verbal communication; stakeholder liaison.
• Experience in Agile environments.

Responsibilities

• Frame business use cases by translating client needs and mapping workflows.
• Explore data sources and assess data readiness for AI/ML initiatives.
• Define project objectives, scope, and success metrics from a business perspective.
• Create a clear product vision, scope, and roadmaps for AI projects.
• Engage with clients through workshops and discovery sessions to elicit requirements.
• Collaborate with Solution Architecture to ensure feasibility and rapid prototyping.
• Develop and deliver presentations articulating ROI of AI/ML solutions.

Skills

Python

SQL

Data analysis

Communication

Agile

Problem solving

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.

Fabian Ling Tuong Liing

R25129353

Recruit Express Pte Ltd

EA Licence No: 99C4599

We regret that only shortlisted candidates will be contacted.