Data Scientist

Do you want to work with cutting-edge data science technologies to tackle critical business problems? Join us as our new Pricing Data Scientist!

As the Nordic leader in insurance, understanding and gaining insights on customer behavior and risk is at the heart of what we do. This is an opportunity to play a key role in leveraging data and analytics to accurately predict insurance risk. Your insights will drive fast and impactful decisions, influencing our 1.8 million customers in Sweden.

About The Role

As our new colleague, you will use machine learning and statistical modelling to improve our risk and pricing models. This is done by analyzing large amount of data, exploring new data sources & machine learning methods, and building end-to-end production grade machine learning pipelines. You will work in our modern analytical platform using SQL, Python, Databricks and dbt.

You will take lead on how we use structured and unstructured vehicle data for pricing in Sweden. You will be able to quickly develop, implement and monitor your improvements. Senior applicants would also have the opportunity to facilitate this work on a Nordic level, ensuring we have good knowledge sharing across If and with our sister companies Topdanmark in and Hastings (in UK).

About The Team

Our team is responsible for improving the pricing for our private customers in Sweden, a portfolio of 1.8 million customers. You will belong to a caring and high performing team of 8 people, who are passionate about data, analytics, and modelling. The team is part of an experienced and growing Nordic community who are dedicated to become the best Pricing & Analytics organization in the Nordic insurance market. We’re currently on a journey to explore and implement new and innovative ways to improve our pricing.

Who are you?

You enjoy working with tech, analytics & data and can communicate your insights to a wide audience of stakeholders. You have the creativity and curiosity to solve complex problem in new ways. You have a proactive attitude, and you challenge yourself to grow. You are structured, thorough, and have a high sense of responsibility.

We also believe that you:

• Have a master’s degree in mathematics, computer science or engineering, with great results.
• Think creatively about how to solve problems with machine learning and statistical modelling.
• Have programming skills in SQL and Python.
• Are curious to learn and try new technologies.
  
  
  

We’re both looking for more senior candidates and those with a couple of years of relevant experience.

Additional Facts And The Recruitment Process
Work location: Stockholm or Gothenburg

Employment: Full-time role
To apply for the position: Please include your CV and a personal letter

Application deadline: Deadline to apply is 26th January but send in your application as soon as you can since the position can be filled beforehand.

Final candidates will undergo a background check before a job offer can be presented.

For more information, please contact Henning Rydström, Head of Pricing & Analytics Sweden, +46 76 855 20 94.

We look forward to your application!

About Us

We are If. Our purpose is to give people confidence today to shape their tomorrow.

To make this possible, trust is our backbone. We stay ahead and challenge ourselves to grow. And we always put our hearts into it – because it takes more than bright minds to make brilliant things happen.

We are the leading insurance company in the Nordics/Baltics and a stable employer with 7,900 dedicated professionals. But most importantly, we are protectors of people, enablers of companies and encouragers of dreams. With our joint force of expertise and engagement we always stand by our customers’ side. Giving them the security and the confidence to be curious, explore new worlds, start new businesses and live their lives.

We are an equal opportunity employer, convinced that a diverse and inclusive work culture boosts innovation and the growth of intellectual capital in many ways. It doesn’t matter who you are, where you come from, or what you look like. It is the different perspectives, backgrounds, and experiences each of us have and share, that will make a difference.

Come and join us!