Machine Learning Research Intern
IdeogramPart Time
Entry Level & New Grad
Candidates should possess a major, minor, or research focus in economics, statistics, mathematics, computer science, engineering, physics, or a similar field at a leading university (B.Sc., M.Sc., or PhD). In-depth understanding of mathematical and statistical concepts behind most common machine learning techniques and a proven interest in causal inference questions, e.g., A/B tests. Experience in coding and working with data using Python (Pandas, XGBoost/LightGBM), R (dplyr, ggplot2), and git is required. Ability to see solutions and opportunities that others do not see, and a high level of commitment and reliability with a good balance of pragmatism and perfectionism are also necessary. Business proficiency in English and conversational proficiency in German is beneficial.
Data Science Interns at QuantCo will learn to identify business challenges and translate them into statistical problems, locate and combine data sources, transform large datasets, run in-depth analyses, build machine learning models, and integrate them into live business processes. They will also interpret, visualize, and communicate results to internal and external stakeholders, and be part of a smart, motivated, and driven team that revels in working on challenging problems and finding novel solutions.
Data analytics for business decision-making
QuantCo specializes in transforming data into actionable business decisions. The company offers specialized products such as algorithmic pricing, data-driven claims management, and high-dimensional forecasting solutions. These products help businesses optimize operations, set optimal prices, manage insurance claims efficiently, and predict future trends accurately. QuantCo differentiates itself from competitors by combining advanced data expertise with practical business knowledge, thanks to a diverse team of over 100 experts in economics, data science, software engineering, and machine learning. The goal of QuantCo is to create significant economic impacts for its clients, which include large organizations in financial services, retail, industrial, and healthcare sectors, by providing tailored solutions that enhance decision-making and drive revenue.