Data Science Internship: Multidimensional Market Modelling

Philips; Amsterdam; Hybrid; EUR 7,800 - 11,000; Full time

Benefits offered by this job

Monthly allowance €500–€700

Housing compensation

Travel compensation

Paid holidays

Job summary

Philips is seeking a Data Science Intern to help develop a multidimensional market reconciliation model within the Marketing Insights & Analytics team of IGT-S in Amsterdam/Best. You will work on integrating diverse data sources to create a coherent market view and support strategic market decision-making.

The internship requires a quantitative background, strong math/statistics skills, and proficiency in Python/R/SQL. Office presence is required with at least 3 days on-site per week.

Qualifications

• Pursuing a Bachelor's or Master's degree in a quantitative field.
• Strong foundation in mathematics, statistics and data analysis.
• Experience with Python, R, SQL, or similar tools is a plus.

Responsibilities

• Develop and validate a multidimensional market reconciliation model.
• Analyse datasets and translate business questions into mathematical models.
• Document methodology and present results to stakeholders.

Skills

Mathematics

Statistics

Quantitative modeling

Optimization

Data analysis

Communication

English proficiency

Education

Bachelor's or Master's degree (quantitative)

Tools

Python

R

SQL

Power BI

Databricks

Excel

Job description

Philips is seeking a Data Science Intern to help develop a multidimensional market reconciliation model within the Marketing Insights & Analytics team of IGT-S in Amsterdam/Best. You will work on integrating diverse data sources to create a coherent market view and support strategic market decision-making.

The internship requires a quantitative background, strong math/statistics skills, and proficiency in Python/R/SQL. Office presence is required with at least 3 days on-site per week.