AI Analyst (Data Scientist)

Recruit Express Pte Ltd; Singapore; Sur place; SGD 60 000 - 90 000; Plein temps

Résumé du poste

Recruit Express Pte Ltd is seeking an AI/ML Business Analyst to translate client needs into actionable data and strategy. You will work with clients and senior teammates to frame use cases, map workflows, and identify AI opportunities.

You'll lead discovery, define objectives, and collaborate with architecture to prototype solutions, present ROI, and help clients realize measurable business value through agile delivery.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, IT, Business Analytics, AI, Information Systems or related field.
• 2-4 years of experience in AI-related Business Analysis, Data Analysis, Technical Consulting, or related field (consulting preferred).
• Foundational programming skills (e.g., Python, SQL) for data manipulation and exploration.
• Knowledge of AI paradigms including LLMs, RAG, and AI Agents.
• Strong analytical mindset and ability to present solutions clearly.
• Excellent communication and experience working in Agile environments.

Responsabilités

• Analyze business challenges and map workflows to identify AI/ML use cases.
• Explore client data to assess quality and readiness for AI initiatives.
• Define initial AI project objectives, scope, and success metrics from a business perspective.
• Create elevator pitch, vision, and roadmap with ROI models.
• Facilitate client workshops and elicit detailed requirements for AI/ML solutions.
• Collaborate with Solution Architecture to ensure feasibility of rapid prototyping.
• Develop and deliver presentations articulating AI value and ROI.

Connaissances

Python

SQL

Data Analysis

Communication Skills

Agile Methodology

Formation

Bachelor's degree

Description du poste

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.