Data Scientist (Junior-Mid AI Analyst)

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 solutio