AI Analyst

Dentons Canada; London; Hybrid; GBP 30,000 - 60,000; Full time

Job summary

Join a forward-thinking firm as a Junior AI Analyst, where you'll play a crucial role in supporting AI initiatives. This position offers a unique opportunity to engage in data analysis, compliance documentation, and process improvement within a collaborative environment. You'll be at the forefront of AI trends, contributing to impactful projects while enhancing your skills in a hybrid work setting. Ideal for those passionate about technology and eager to make a difference, this role promises a fulfilling career path in a dynamic industry.

Benefits

Flexible working hours

Inclusive culture

Diversity initiatives

Qualifications

• Bachelor's degree in a relevant field is essential.
• Proficiency in data analysis tools like Excel and Power BI is required.

Responsibilities

• Support strategic AI initiatives and maintain compliance documentation.
• Collect, clean, and analyze data for AI projects.

Skills

Data Analysis

Analytical Thinking

Problem-Solving

Communication Skills

Collaboration

Education

Bachelor's degree in Law

Bachelor's degree in Computer Science

Bachelor's degree in Data Science

Bachelor's degree in Statistics

Tools

Excel

Power BI

Python

SQL

Job description

Press Tab to Move to Skip to Content Link

Select how often (in days) to receive an alert: Create Alert

Department/Division: Solutions/Innovation
Duration: Permanent
Type of Role: Hybrid

The Role

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 analyzing data, conducting research, preparing reports and presentations, and assisting with the 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 organization needs, basic process analysis tasks, and engages in supervised problem-solving activities.

Required experience, skills, and attributes

Core Responsibilities

• Support strategic AI initiatives and implementation work across the organization
• Maintain compliance documentation, including AI Use Case and AI Product Inventories
• Assist with process improvement activities using basic DMAIC methodology
• Collect, clean, and analyze data to support AI project decision-making
• Prepare reports and visualizations 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 visualization 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 (either through academic study, independent study or work experience)

• 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 prioritization, 5S for documentation organization, 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 organizational skills, attention to detail, curiosity, learning agility, and a process improvement and problem-solving mindset are essential for success in this role.