Description
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