Internship: Data Scientist - Marketing Science

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

About the role:

Are you passionate about data, analytics, and understanding what really drives business growth?

As a Data Science Intern - Marketing Mix Modelling (Internship: Data Scientist - Marketing Science), you will join Versuni's Marketing Effectiveness team and work at the intersection of data science, marketing, finance, and business strategy. You'll help uncover the true impact of marketing investments by building analytical models, transforming complex datasets into actionable insights, and supporting decisions that influence millions of euros in marketing spend.

This internship offers a unique opportunity to apply advanced data science techniques to real business challenges. Rather than working on theoretical models, you'll contribute directly to projects that help Versuni determine where, when, and how marketing investments generate the greatest return.

You will work closely with Data Scientists, Data Engineers, Marketing teams, and business stakeholders across the organization, gaining hands-on experience with Marketing Mix Modelling, econometrics, forecasting, and large-scale data analysis. Throughout the internship, you'll develop both your technical expertise and your business understanding, learning how data-driven insights influence strategic decision-making in a global consumer products company.

Location: Amsterdam, Netherlands (hybrid, 2 days per week in the office)
Type: Internship (thesis support negotiable)
Duration: 6 months
Working Hours: 32-40 hours per week
Expected Start Date: ASAP

The impact you'll make:

• Extracting data from various sources, bring them together, standardising the data and building ETL pipelines.
• Building models (time series, linear regressions…) or complex analyses to measure marketing effectiveness.
• Supporting other data analysts & data scientists with ad-hoc analyses and presentations.
• Collaborating with data scientists to translate successful prototypes into re-usable solutions, and scale across markets and businesses.

The skills and knowledge you'll bring:

• Passion for working with different data sets and bringing them together to solve business problems.
• Bachelor's/Master's degree in a quantitative field such as Statistics, Applied Mathematics, Engineering, Computer Science or Economics, with strong affinity to Marketing.
• Able to work with data, and with data sources from files and/or databases/systems.
• Working knowledge of Microsoft Excel (Pivot, Lookups, match-index etc.)
• Experience with Python.
• Hands-on experience with data wrangling/engineering steps for Extract-Transform-Load activities.
• Good written & verbal communication skills in English.

Important:

Please note that in order to be considered for an internship, you need to be registered as a student during the entire internship period. Formal documentation may be requested at any time. Students from outside the EU must complete a NUFFIC agreement signed by both the student and their university.

Ready to make an impact?

Join our global team of 6,000+ passionate individuals, work with world-class brands, and shape the future of home living.

In addition, annual incentive and benefits are regulated according to internal policies, which may be applicable to the selected candidate.