Internship: Data Science for Multidimensional Market Modelling
Core
Develop and validate a multidimensional market reconciliation model to combine disparate market data sources into a mathematically consistent view for strategic decision-making.
Role type
Data Science Intern (Market Modelling)
Builds
A validated methodology and proof of concept for scalable market segmentation models.
Domain
Healthcare technology / Market Intelligence
Deliverable
production ML models | dashboards & analysis
Required skills
mathematical modelling, statistical methods, optimization, probabilistic modelling, data analysis, Python, SQL, R, Databricks, Excel
Preferred skills
machine learning, multidimensional data analysis
Responsibilities
Analyse existing market segmentation datasets and translate business challenges into modelling frameworks; Research and evaluate statistical approaches for market reconciliation; Develop and validate models combining multiple market observations; Design methodologies to dynamically incorporate new information; Establish validation methods for model accuracy and robustness; Document methodology and translate findings for stakeholders.
