AI Analyst
Jersey/ hybrid

Our client is a Legal services company for the corporate and financial sectors, principally in the areas of banking and finance, corporate, investment funds, dispute resolution, private equity and private wealth. We also have strong practices in the areas of employee benefits and incentives, employment law, regulatory, restructuring and insolvency and property.

Key Responsibilities

  • Project Support: Assist the AI Lead in delivering AI projects on time and within budget. This includes coordinating with different teams and managing resources.

  • Performance Management: Assist the AI Lead in creating, measuring and evolving relevant KPIs.

  • AI Solutions Development: Assist in the requirements gathering, design and adoption of AI-powered solutions and systems, ensuring they are scalable, reliable, and secure.

  • AI Applications/Feature Implementation: Support the implementation and exploitation of AI-powered solutions and systems.

  • Collaboration with End Users: Work closely with end users across the business to understand their needs and challenges, and to help them leverage AI-powered solutions.

  • Compliance and Ethics: Support the AI Lead in ensuring all AI initiatives comply with relevant laws, regulations, and ethical standards, including data privacy and AI ethics.

Skills, Knowledge and Expertise

The ideal candidate will have a mix of technical depth and practical execution abilities. This role is essential in helping the company remain at the forefront of the legal sector through the strategic use of AI.

Key competencies required include:

  • Strong technical expertise, particularly in supporting third-party applications.

  • Ideally, knowledge of AI machine learning, and data analytics technologies.

  • An understanding of compliance, data privacy, and ethical considerations in AI

  • Proven project management skills, including experience in resource allocation and delivering projects on time and within budget.

  • Excellent collaboration skills, with the ability to work effectively with a broad range of internal and external parties.

  • Proficiency in tracking and reporting on KPIs to measure the performance and impact of AI projects.