Data Scientist (Junior-Mid AI Analyst)

ONE TECH STOP PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

ONE TECH STOP PTE. LTD. is seeking a Junior–Mid AI Analyst to bridge business stakeholders with technical teams. You will frame AI/ML use cases, explore client data, and define ROI for AI initiatives.

Role emphasizes strategic thinking, hands-on programming, and ability to translate complex business challenges into actionable AI solutions. Join a dynamic consulting environment in Singapore.

Qualifications

• Bachelor’s degree in CS/related fields.
• 2–4 years of AI-related business analysis or consulting experience.
• Foundational programming skills (Python, SQL).
• Solid understanding of modern AI/ML paradigms (LLMs, RAG, AI Agents).
• Strong analytical mindset and ability to translate business problems.
• Clear written and verbal communication; able to explain technical concepts.
• Experience in agile, fast-paced environments.

Responsibilities

• Discovery and strategy to frame business use cases.
• Analyze client data and identify AI/ML opportunities.
• Frame ROI models and project objectives for stakeholders.
• Collaborate with Solution Architecture for feasible designs.
• Engage clients through workshops, interviews, and proposals.

Skills

Python

SQL

Analytical thinking

Communication

Agile

Education

Bachelor's degree in CS or related field

Tools

Python

SQL

Job description

JOB OVERVIEW:

We are seeking a Junior-Mid AI Analyst to act as a bridge between business stakeholders and technical delivery teams. This role is ideal for a strategic thinker who understands business workflows, possesses hands‑on programming knowledge, and is passionate about applied AI/ML technologies.

As a Junior–Mid Analyst, you will help identify business problems, explore client data, frame AI/ML use cases for technical teams, and ensure the final solution delivers a clear return on investment.

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 define \"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:

The \"Must-Haves\":

• 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 field (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.

The \"Bonus Points\":

• Technical Pivot: Background as a Junior Data Scientist, AI Engineer, or Software Developer looking to transition into a strategic, client-facing consulting role.