Pricing AI & Data Analytics Intern: Shape Pricing Insights

Kramp; Utrecht; In loco; EUR 8900 - 13.000; Tempo pieno

Descrizione del lavoro

Kramp is seeking a Pricing AI & Data Analytics Intern in Utrecht to turn complex pricing data into accessible insights. You will define the right data context, determine business logic, and enable an LLM to provide accurate, fast pricing answers for colleagues.

You will collaborate with Pricing and Data Science teams to translate business needs into technical solutions, applying Python, SQL and BigQuery to structure data and improve the AI assistant's capabilities.

Competenze

• Master's degree in Data Science, Computer Science, AI, Business Analytics, Statistics or related field.
• Strong understanding of data analysis and experience working with large datasets.
• Experience with programming and data tools such as Python, R, SQL and/or Google BigQuery; Tableau or similar data visualization is a plus.
• Genuine interest in AI and generative AI assistants; familiarity with Copilot, LLMs or similar technologies is advantageous.
• Strong analytical and problem-solving mindset; able to translate business needs into technical solutions.

Mansioni

• Contribute to design and development of a generative AI assistant for pricing questions.
• Engage with stakeholders to understand pricing questions and required information.
• Extract, process and analyze large datasets from different sources and structure them for LLM context.
• Explore and apply AI tools and technologies to develop capabilities of the assistant.
• Use data analysis tools to identify patterns and support solution development.
• Collaborate with Pricing and Data Science teams to translate business needs into technical solutions.

Conoscenze

Data analysis

SQL

Python

R

Formazione

Master's degree in Data Science / related field

Strumenti

Python

R

SQL

Google BigQuery

Tableau

Descrizione del lavoro

Kramp is seeking a Pricing AI & Data Analytics Intern in Utrecht to turn complex pricing data into accessible insights. You will define the right data context, determine business logic, and enable an LLM to provide accurate, fast pricing answers for colleagues.

You will collaborate with Pricing and Data Science teams to translate business needs into technical solutions, applying Python, SQL and BigQuery to structure data and improve the AI assistant's capabilities.