Business Analyst; BA Claims AI Projects

Business Analyst (BA) for Claims AI Projects - Fixed Term Contract, London

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This role is a Business Analyst (BA) for Claims AI Projects in London, offering a fixed-term contract with a competitive pay rate. Requires 3+ years in claims processing or AI projects, strong analytical skills, and familiarity with tools like JIRA and Tableau.

London, England, United Kingdom

We are seeking a skilled and detail-oriented Business Analyst (BA) to join our team and contribute to the successful delivery of Claims AI projects. The ideal candidate will act as a bridge between business stakeholders and technical teams, ensuring that AI-driven solutions for claims processing align with business goals, improve operational efficiency, and enhance customer experience.

• Requirements Gathering and Analysis – Collaborate with business stakeholders to understand and document current claims processes, pain points, and opportunities for improvement; elicit, analyze, and prioritize business requirements for AI-driven claims solutions; translate business needs into functional and non-functional requirements for the technical team.
• Stakeholder Collaboration – Act as the primary liaison between business teams, data scientists, AI developers, and other technical teams; facilitate workshops, meetings, and discussions to ensure alignment on project goals and deliverables; communicate complex technical concepts in a clear and concise manner to non-technical stakeholders.
• Process Mapping and Optimization – Analyze existing claims workflows and identify areas where AI can add value (e.g., fraud detection, claims automation, predictive analytics); develop process maps and recommend optimized workflows incorporating AI solutions.
• AI Solution Design and Validation – Work closely with AI and data science teams to define use cases, data requirements, and success metrics for AI models; validate AI models and solutions to ensure they meet business requirements and deliver expected outcomes; collaborate on testing and quality assurance to ensure the accuracy and reliability of AI outputs.
• Project Management Support – Assist in project planning, timelines, and deliverables to ensure on-time delivery of Claims AI projects; track and report on project progress, risks, and issues to stakeholders.
• Change Management and Training – Support the adoption of AI solutions by creating user guides, training materials, and conducting training sessions for end-users; address user concerns and feedback to ensure smooth implementation and integration of AI solutions.
• Continuous Improvement – Monitor the performance of AI solutions post-implementation and recommend enhancements based on user feedback and performance metrics; stay updated on industry trends, emerging AI technologies, and best practices in claims processing.

• Education – Bachelor’s degree in Business Administration, Computer Science, Data Science, or a related field. Master’s degree is a plus.
• Experience – 3+ years of experience as a Business Analyst, preferably in insurance, claims processing, or AI/technology projects. Experience working on AI or data-driven projects is highly desirable.
• Skills – Strong understanding of claims processes and insurance industry practices; familiarity with AI concepts such as machine learning, natural language processing, and predictive analytics; proficiency in business analysis tools (JIRA, Confluence, Visio) and data visualization tools (Tableau, Power BI); excellent communication, problem-solving, and analytical skills; ability to work in a fast-paced, cross-functional team environment.
• Certifications – Certified Business Analysis Professional (CBAP) or equivalent;
  Agile or Scrum certifications (Certified Scrum Master, PMI-ACP).
• Key Competencies – Strong analytical mindset with the ability to identify patterns and insights from data; ability to manage multiple priorities and deliverables simultaneously; strong interpersonal skills to build relationships with diverse stakeholders; proactive approach to problem-solving and passion for leveraging technology to drive business outcomes.

85 Great Portland Street, London, England, W1W 7LT