AI Analyst

The Junior AI Analyst provides vital analytical support to both the AI Operations Manager and Applied AI Consultant. This role serves as the analytical backbone for AI initiatives, gathering and analysing data, conducting research, preparing reports, presentations and assisting with implementation and monitoring of AI solutions. A critical responsibility includes maintaining compliance documentation, particularly AI Use Case and AI Product Inventories, while applying process improvement tools to enhance efficiency. This role addresses defined analytical problems, data preparation challenges, documentation organisation needs, basic process analysis tasks, and engages in supervised problem-solving activities.

Core Responsibilities

• Support strategic AI initiatives and implementation work across the organisation
• Maintain compliance documentation, including AI Use Case and AI Product Inventories
• Assist with process improvement activities using basic DMAIC methodology
• Collect, clean, and analyse data to support AI project decision-making
• Prepare reports and visualisations to communicate findings to stakeholders
• Conduct research on AI trends, technologies, and best practices
• Monitor performance of implemented AI solutions and identify improvement opportunities
• Provide general analytical support to the AI team
• Handle administrative and project support tasks as needed
• Assist with documentation of AI processes and procedures

Required expertise

• Bachelor's degree in Law, Computer Science, Data Science, Statistics, or related field
• Proficiency with data analysis tools (e.g., Excel, Power BI)
• Data visualisation skills and experience creating clear, informative reports
• Strong analytical thinking and problem-solving abilities
• Excellent written and verbal communication skills
• Ability to work collaboratively in cross-functional teams

Preferred expertise

• Basic programming knowledge (Python preferred)
• Familiarity with SQL and database concepts
• Basic understanding of statistical methods and their application
• Knowledge of basic DMAIC methodology
• Knowledge of AI ethics and responsible AI principles
• Familiarity with project management methodologies
• Experience with data governance frameworks
• Familiarity with compliance requirements in technology implementation
• Basic process mapping, Pareto analysis for prioritisation, 5S for documentation organisation, data collection for DMAIC projects, and basic process improvement techniques.
• Certifications in relevant areas (e.g., data analysis, process improvement) (or willingness to obtain)

Success profile

Self-starter with strong multi-tasking ability, excellent organisational skills, attention to detail, curiosity, learning agility, and a process improvement and problem-solving mindset are essential for success in this role.

Inclusion and Diversity

We are committed to building an inclusive culture here at Dentons where our people can thrive, regardless of their background or circumstance. As well as being the right thing to do, it makes good business sense too. A richness of backgrounds, experiences and perspectives helps us best serve our clients and the communities in which we operate.

Equal Opportunities

Dentons is committed to providing equal opportunities for all. We welcome applications from everyone including of any age, ethnicity, religion, sex, sexual orientation, gender identity, nationality, neurodiversity, disability, or with parental or caring responsibilities. We also offer flexible working hours.

During the application process, all applicants have the opportunity to tell us about any adjustments or support they require so they are able to perform at their best. Any information you share with us during the application process is treated in confidence.

If you have any questions about this or the role criteria, please email recruitment.matters@dentons.com.