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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Science for Multidimensional Market Modelling - **Company:** Koninklijke Philips N.V. - **Location:** Amsterdam, Netherlands - **Experience:** Internship - **Contract:** Internship / Graduate position - **Skills:** Microsoft Excel, Artificial Intelligence, Data Analysis, Big Data, R (Programming Language), Python (Programming Language), Machine Learning, Power BI, SQL Databases, System Availability, Information Technology, Optimization Algorithms, Databricks - **Published:** September 17, 2026 - **Apply:** https://startup.jobs/internship-data-science-for-multidimensional-market-modelling-0050-us00-remote-us90-10105070 ## About the Role You are currently pursuing a Bachelor's or Master's degree, preferably in Data Science, Econometrics, Applied Mathematics, Statistics, Operations Research, Artificial Intelligence, Computer Science, Engineering, or another strongly quantitative discipline. You bring: * A strong foundation in mathematics, statistics and quantitative modelling. * Knowledge of statistical methods, preferably including optimization, probabilistic modelling or multidimensional data analysis * The ability to structure, transform and analyse large and complex datasets. * Strong analytical and problem-solving skills with attention to data quality, model robustness and reproducibility. * The ability to explain complex quantitative concepts clearly to non-technical stakeholders. * Good written and verbal communication skills in English and a collaborative mindset. This assignment will encounter a variety of structured & unstructured data sources and experience with Excel, SQL, Python, R, Databricks, Power BI, machine learning or optimization techniques is an advantage. Previous healthcare or medical technology experience is not required. ## Description We are looking for a Data Science Intern to help further develop our market modelling capabilities. Our market models combine large amounts of information from different sources and perspectives. While reliable market information is available at different levels, the detailed intersections between these perspectives are often not directly observable. Your assignment will be to develop and validate a multidimensional market reconciliation model that combines these sources into one mathematically consistent market view., You will work closely with Marketing Insights & Analytics colleagues and other IGT-S stakeholders. This internship offers the opportunity to apply advanced data science and quantitative methods to a complex real-world business problem and contribute to the future IGT-S market intelligence methodology. Your Assignment and Activities During this internship, you will take ownership of an applied data science assignment with direct relevance to strategic market decision-making. Your main activities will include: * Analyse the existing market segmentation methodology, datasets and assumptions and translate the business challenge into a mathematical and statistical modelling framework. * Research and evaluate suitable statistical and mathematical approaches for multidimensional market reconciliation such as iterative proportional fitting, constrained optimization, entropy-based methods, and Bayesian/probabilistic approaches. * Develop and validate a model that combines existing estimates with multiple market observations, taking differences in data availability and confidence into account. * Design the methodology to dynamically incorporate new information while maintaining a coherent overall market view. * Establish appropriate validation methods to assess model accuracy, stability and robustness. * Document the methodology and translate analytical findings into clear conclusions for business stakeholders. The objective is to deliver a validated methodology and working proof of concept that can provide the foundation for a scalable multidimensional market segmentation model. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Best Companies in the Netherlands: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/193-best-companies-in-the-netherlands-top-25-companies-in-2023) - [Software Developer Salary in The Netherlands [2023]](https://www.wearedevelopers.com/magazine/217-software-developer-salary-in-the-netherlands-2023) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [The Netherlands – Europe’s powerhouse for software development?](https://www.wearedevelopers.com/magazine/31-the-netherlands-europe-s-powerhouse-for-software-development) - [Average Salary in The Netherlands](https://www.wearedevelopers.com/magazine/272-average-salary-in-the-netherlands) - [How to Find Tech Jobs in Amsterdam](https://www.wearedevelopers.com/magazine/279-how-to-find-tech-jobs-in-amsterdam)