Data Analytics & AI Innovation Intern

We are looking for a highly motivated Data Analytics & AI Innovation Intern to support the Commercial Excellence & Innovation (CEI) team.

You will contribute to live dashboards, analytics initiatives, and AI-enabled solutions, working closely with multiple stakeholders across commercial, data, and digital teams.

Responsibilities

Data Analytics & Visualization

• Support the development, maintenance, and improvement of Power BI dashboards and Power Query Processes used for commercial decision-making
• Analyze datasets to identify data quality issues, inconsistencies, and improvement opportunities
• Translate business questions into analytical views and dashboards, with guidance from CEI

Programming & Data Handling

• Use Python and/or SQL to: Prepare and transform datasets, Automate recurring analyses where relevant, Support analytical prototyping
• Work with structured and semi-structured data in a real enterprise setting

AI & Advanced Analytics Exposure

• Contribute to AI- and analytics-driven initiatives, including: Understanding and supporting ML or predictive analytics projects, Assisting in the design or testing of AI- and agent-based solutions
• Gain exposure to LLMs, AI agents, and applied ML concepts, with mentorship and context provided by the team

Stakeholder Interaction & Enablement

• Collaborate with team members and stakeholders from different functions
• Support documentation, analysis summaries, and clear communication of results
• Participate in workshops, reviews, or working sessions when relevant

Requirements

Technical Skills (Core)

• Strong foundation in Data Analytics
• Solid working knowledge of Power BI (modeling, visuals, basic DAX preferred)
• Experience with Python and/or SQL for data analysis and transformation
• Comfortable working with datasets

AI / ML Background (Preferred)

• Experience designing, executing, or contributing to machine learning projects (academic or personal projects count)
• Understanding of basic ML concepts (e.g., features, training, evaluation)
• Interest in how ML and LLMs are applied in real business contexts

Interpersonal & Organizational Skills

• Clear, structured communicator , able to explain work and ask good questions
• Comfortable working with multiple stakeholders and changing priorities
• Organized, accountable, and able to manage tasks with guidance but without constant supervision