Key Skills

Job Description

Data Scientist – Econometrics / Statistics (Amsterdam) You could work as a quantitative analyst at an investment bank. Or you could help model one of Europe’s largest real-world consumer markets. At JP.cars we analyze the dynamics of the European automotive market using one of the most comprehensive vehicle datasets in existence. Every day millions of vehicle listings across Europe generate a continuously evolving system of supply, demand and pricing signals. If you enjoy digging deep into data, uncovering patterns others miss and pushing through datasets until things truly make sense, read further. About JP.cars JP.cars is a fast-growing automotive data company operating across almost all European markets. In 2027 we will further expand internationally with our entry into the United States. At the core of our business are very large automotive datasets containing billions of vehicle records across multiple countries. These datasets provide a unique statistical view on how vehicle markets behave, enabling analysis of pricing dynamics, supply patterns and market inefficiencies at a scale rarely available in this industry. To unlock the full value of this data, we are looking for someone with a strong statistical and quantitative background who enjoys working deeply with large datasets and complex market behavior. What you will do You will build models and work with large-scale automotive data to translate complex datasets into insights and models that support hundreds of customers (automotive dealerships, b2b trading companies, leasing companies, banks, insurance companies and auditors), who rely heavily on our accurate vehicle data to run their daily operations. Your work may include: Building statistical models to better understand vehicle pricing and market dynamics Identifying patterns in supply, demand and pricing behavior Investigating anomalies and trends in large datasets Analyzing datasets with billions of vehicle records Turning complex quantitative analysis into clear insights A large part of this role is deep data exploration and statistical investigation: asking the right questions and pushing through the data until the numbers actually make sense. Your analyses and models directly influence vehicle valuations used daily by hundreds of automotive companies across Europe. Examples of questions we explore How do vehicle prices evolve across different European markets? Can statistical models detect anomalies or inefficiencies in vehicle pricing? How can we forecast vehicle residual values using large-scale market data? How can price elasticities in the automotive market be quantified? What we are looking for We are looking for someone who really enjoys working with numbers and data. Strong candidates typically have: A PhD or MSc in Mathematics, Econometrics, Statistics, Physics, or another quantitative field Strong knowledge of statistics and quantitative modeling Experience working with large datasets Programming experience with Python, SQL and more Most importantly, we are looking for someone who: Has a strong drive to understand data in detail Enjoys digging deep into datasets Keeps investigating when something does not make sense Does not stop until the numbers and patterns are fully understood We value people who enjoy exploring data, questioning assumptions, and developing a deep understanding of how underlying systems and markets behave. At the same time, you enjoy working closely with others and contributing to a team that builds something meaningful together. What we offer Access to one of the largest automotive datasets in Europe with billions of records Real-world problems involving pricing and market dynamics A role where your analysis directly influences real decisions in the automotive market A rapidly growing international company An ambitious and energetic team that pushes each other to reach the highest level. We collaborate closely, share knowledge, and work together to build something exceptional. Location This role is based in Amsterdam. We believe working closely together is important, so you are also expected to be present at our Amsterdam office. Interested? Apply via LinkedIn. Questions? Contact [email protected]

Core Responsibilities

Build statistical models and analyze large-scale automotive datasets to uncover pricing, supply, demand, and market trends. Translate complex quantitative findings into clear insights that support vehicle valuations and customer decisions.

Requirements

A PhD or MSc in mathematics, econometrics, statistics, physics, or another quantitative field is sought, along with strong statistical and quantitative modeling knowledge. Candidates should have experience with large datasets, programming experience in Python and SQL, and a strong drive to investigate data thoroughly and collaborate with a team.