Join the Advanced Analytics & AI Team within Handelsbanken in providing our business with highly accurate insights and models that drive our business forward in a scientific and data-driven manner.
The Advanced Analytics & AI Team is specialized in data analytics and model development and works with business units throughout Handelsbanken. We apply mathematical statistics, machine learning and other technologies to initiatives and projects in a wide range of areas such as content personalization, product development and business strategy.
We work cross-functionally with other teams in an environment characterized by initiative, collaboration and innovation to tackle business challenges by predicting outcomes, understanding complex data relationships and constructing models that contribute to a better experience for our customers.
As Data Scientist you will collaborate with other data scientists, statisticians and business analysts to define business problems and implement solutions. You will be a part of driving complex data science projects from ideation through to completion and communicating findings to ensure solutions are well understood and incorporated into business processes.
The role involves applying advanced data analysis tools and techniques to provide insights, models and actionable recommendations for the business. You will enjoy the freedom to explore new projects, the support to think outside the box and the opportunity to expand your data science skillset through development opportunities and researching innovative tools and techniques to level up our capabilities.
We are looking for a person who fits the positive, friendly and supportive culture of Handelsbanken. The ideal candidate is curious, inventive, strives for improvement every single day and shares our aim to be smart, humble and, above all, collaborative.
We look forward to receiving your cover letter, CV and academic records. Furthermore, we are particularly interested in previous team work experience, what motivates you and achievements that you are proud of.
Please submit your CV and academic records merged in the same file.