Verisure is seeking a talented, innovative, passionate Data Scientist. The role will part of a growing and talented Technology Team and will report directly into our North QA Manager and will work closely together with the Field Quality Portfolio Manager. It is at the core of the service and operations we provide to our customers. It is what enables our people to do our job, protecting what matters most. But it is also at the heart of our future value creation. It is at the core of the new services we will offer, building on our legacy of value accretive innovation through deploying world-class products and services. We must continue to support our countries and customers with secured and world-class quality, service and product performance. For this, we must provide key capabilities, Key talent and tools supporting business efficiency and commercial priorities. As a Portfolio Data Scientist in the QA team you will use your programming and problem-solving skills to define, design and implement analysis and insight tools, converting data to communicated insights. You will support members of the QA team to analyze data and work actively to identify, model, solve, visualize, and deploy insight requests for key areas of Verisure portfolio. You will be using your scientific knowledge and engineering skills to prepare data from multiple sources into aggregated data sets, and to analyze large volumes of complex data. You will work and experiment with the data using machine learning and data mining technologies as well as classical statistics. You will work in collaboration with other scientists and engineers across Verisure to model, design, and build creative analytics solutions (on prem and in cloud) to serve the needs of the North QA team.



You will consult other teams and functions to formulate the right questions with regard to what value machine learning and AI can add in a given situation. The position reports to the Manager of the North QA team. You will complement our skilled, curious and humble quality assurance team on analytical topics incl., hypothesis testing, anomaly detection, large data analysis, creation of reports/ dashboards, data-driven portfolio improvement programs, etc. You will be a key support for the QA team to actively monitor performance of the product in the field, creating and leveraging data dashboards for key incoming issues from operations teams in the countries Additionally, you will suggest corrective actions in the case they are needed and maintain a set of pro-active suggestions to be implemented to improve portfolio performance You have a degree in computer science, mathematics, statistics, physics, or related area in which statistics and complex analysis are core skills. Experience working as a data scientist or in a data analyst role will be a plus (esp., experience working within the analytics chain: from raw data, data analysis and feature engineering, to stable, deployed models using which end users make better decisions). You are comfortable working with classical statistics (hypothesis testing, confidence intervals, recognizing classical distributions, etc.). You have experience of data analysis tools on a daily basis, such as R, SQL, or similar. We are building a high-performance organization through investing in our people,

we offer
a great opportunity to personal development with an environment characterized by humbleness and knowledge sharing and to enhance the on the job training we have a training budget to ensure personal growth.

📌 Portfolio Optimization Data Scientist (España)
🏢 Verisure
📍 España