Data Scientist

Job description

You can call it Data Scientist. But we are looking for someone who solves impossible problems in a pragmatic fashion.

Insurance is all about life and it’s all about data. At If, we offer products that have the power to turn misfortunes into possibilities. Understanding risk is our mission. Creating insights from complex data and developing stable solutions is our daily business.

About the role

As our new colleague, you will develop innovative data-driven solutions to price insurance. Your main task will be to implement and develop pricing processes on our modern analytical platform using Databricks and Python. You will support your colleagues in using the full analytical capabilities offered by the platform and help to define our roadmap for how to do pricing analytics. Along the way, you will improve our risk understanding and create insights on how our pricing models impact our customers and our portfolio. Your conclusions will drive price actions and have a direct impact on our business.

Your responsibilities

  • Developing end-to-end data-driven solutions for pricing use cases from understanding the business problem, transforming the data, developing models and pipelines, deploying solutions to production, and following up quality and performance

  • Coordination, development, stakeholder management and user support for pricing analysis capabilities in Python/Databricks across our Nordic business units

  • Provide insightful and impactful analysis use cases to support business stakeholders

  • Maintain and develop our customer pricing processes

About the team

Our department is responsible for products and pricing for If’s private customer insurances in Sweden, handling a portfolio of more than 1.8 million customers and their Motor, Property and Personal insurances. You will belong to a specialist team of 6 analysts working with pricing for the entire private business, focused on the customer perspective. We have a clear development agenda and are our departments’ analytical competence center. We work closely with the entire department and our Nordic colleagues.

You will become part of a caring team where everyone walks that extra mile – both for our customers and our colleagues. We have the clear ambition to always deliver the best possible results, and we ask for help and support each other to achieve our goals. In a team built on trust and mandate, we welcome you to an open-minded working environment with a positive attitude. With us, you get development opportunities based on your strengths and interests.

Who are you?

You have a strong inner drive and a genuine interest and passion for analytics. You are curious to look at things from different perspectives, and you can be trusted to deliver. You have a proactive attitude, and you challenge yourself to grow. You can communicate your insights to a wide audience of technical and non-technical stakeholders. You are structured, thorough, and have a high sense of responsibility. With a curious mind and strong team spirit you look forward to joining us in creating insurance solutions that make a difference.


  • Master’s degree or equivalent in mathematics, statistics, engineering

  • Demonstrated experience in statistical modelling and machine learning techniques

  • Programming skills in SQL and Python, capable of writing code to production standards

  • Strong communication, pedagogical, and stakeholder management skills

  • Fluency in Swedish or English

Considered as merits

  • Experience with pricing of insurance products

  • Experiences with Tableau, Databricks, Azure, Git, MLOps

  • Familiarity with software developer practices

Additional information and recruitment process

This is a full-time role with work location in Stockholm. Occasional travel in the Nordic countries is required. For more information, please contact Kathrin Larsson, Head of Customer Pricing & Analytics, +46 733 86 42 69. To apply for the position, please include both your CV and a personal letter. Deadline to apply is December 5, 2021. In addition to referral, candidates can also be checked via the internet and social media .

We look forward to your application!

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