Data Science Intern: Marketing Mix Modeling

Versuni (formerly Philips Domestic Appliances); Amsterdam; Hybrid; EUR 7,800 - 11,000; Full time

Job summary

Versuni (formerly Philips Domestic Appliances) is offering a Data Science Intern - Marketing Mix Modelling position in Amsterdam. The internship blends data science with marketing, finance, and strategy to assess the impact of marketing investments and guide decision making.

You'll work with Data Scientists, Data Engineers, and marketing stakeholders on Marketing Mix Modelling, econometrics, forecasting, and large-scale data analysis, gaining hands-on experience in a global consumer products

Qualifications

• Bachelor's or Master's degree in a quantitative field with affinity to Marketing.
• Strong passion for working with data to solve business problems.
• Able to work with data sources from files and databases.
• Proficiency in Microsoft Excel (Pivot, Lookups, v-lookup, etc.).
• Experience with Python for data analysis or modelling.
• Hands-on data wrangling/ETL experience.
• Excellent written and verbal English communication.

Responsibilities

• Extract, standardise, and integrate data from multiple sources; build ETL pipelines.
• Develop models (time series, regression) and analyses to measure marketing effectiveness.
• Support analysts with ad-hoc analyses and present findings.
• Collaborate with data scientists to translate prototypes into scalable solutions across markets.

Skills

Data wrangling

English communication

Statistical thinking

Education

Bachelor's/Master's degree in quantitative field (Statistics, Applied Mathematics, Engineering, Computer Science or Economics) with affinity to Marketing

Tools

Python

Excel

Job description

Versuni (formerly Philips Domestic Appliances) is offering a Data Science Intern - Marketing Mix Modelling position in Amsterdam. The internship blends data science with marketing, finance, and strategy to assess the impact of marketing investments and guide decision making.

You'll work with Data Scientists, Data Engineers, and marketing stakeholders on Marketing Mix Modelling, econometrics, forecasting, and large-scale data analysis, gaining hands-on experience in a global consumer products