AI Business Analyst

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Neurons Lab

51 - 200 employees

💰 Corporate Round on 2022-10

Neurons Lab is a globally distributed AI R&D company that helps deep tech innovators to accelerate data-driven products development and launch. Our team has expertise in fundamental sciences, full-stack AI/ML engineering, and product design. Such a rare combination and access to scarce talent allows Neurons Lab to build disruptive solutions for clients in HealthTech and EnergyTech industries. Neurons Lab operates within a proprietary delivery framework that is tailored to the innovation environment: fierce competition, tight timelines, little-to-none datasets, and the necessity to generate novel solutions.

📋 Description

• Identify and validate high-value AI opportunities • Rapidly prototype solutions • Ensure implementations deliver measurable business outcomes • Facilitate stakeholder workshops to identify and prioritize AI use cases • Develop business cases with clear ROI models • Document current workflows and pain points • Design workflows for financial environments • Create user stories and acceptance criteria • Build functional demonstrations using no-code/low-code tools • Develop testing methodologies for AI systems in regulated environments • Manage stakeholder expectations throughout delivery • Stay current on AI capabilities and new tools.

🎯 Requirements

• 3-5+ years experience in business analysis, process improvement, or consulting • Practical implementation experience with LLMs and generative AI • Hands-on experience with one or more no-code/low-code platforms • Hands-on experience with orchestration frameworks (LangChain, AutoGen) or knowledge graphs • Demonstrated success in requirements gathering and stakeholder management • Demonstrated success moving AI projects from proof-of-concept to production in regulated environments • Experience with digital transformation or technology implementation projects • Background in financial services with understanding of regulatory requirements.

🏖️ Benefits

• B2B contract • full remote • can be part-time or full-time engagement.

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