(Senior) Data Scientist

Insurance is all about life. And it’s all about data. At If we are developing solutions that have the power to turn misfortunes into possibilities and dreams into reality. We are now looking for a Data Scientist or Senior Data Scientist to join a Nordic team focused on developing and productionising machine learning and advanced analytics solutions.

About the role
You will be working in an agile team, which uses AI/ML to support use cases in customer acquisition and sales, customer services operations as well as claims handling and operations. We use a wide set of approaches in our solutions by combining data and software with the use of natural language processing (NLP), image analysis and generative AI, as well as more traditional predictive modelling and classification.

Key responsibilities include:

• Driving and developing all aspects of data science solutions for our use cases, from understanding the business problem, transforming and refining the needed data, developing models and pipelines, deploying solutions to production and following up on the quality, performance and retraining of models.
• Steering on stakeholder engagement and ensuring that we are supporting their needs effectively.
• Maintaining a good understanding of If’s data and analytical landscape and guiding the organisation on technical decisions related to AI/ML.
• Collaborating with the team to define the approaches to solutions and iterating on them together. This may include evaluating new methods and technologies in the field.
• Proactively identifying new opportunities to apply or extend solutions related to business needs.
• Coaching more junior data scientists and pushing for best data science practices.

Who are you?
As a Data Scientist or Senior Data Scientist, we think you have a genuine interest in data science and machine learning and you stay curious to their state-of-the-art developments. We expect you may have proven experience and strong understanding in one or several areas ranging from data science, machine learning, data engineering to software engineering. You should be able to drive complex data science solutions to production-level. You are comfortable to steer on the selection of appropriate techniques, tools and approaches for new problems and keen to contribute to If’s analytical and data maturity.

We think you are interested in coaching more junior data scientists. You must be able to work and co-operate closely with other data scientists and data/ML engineers as well as advice on complex topics to stakeholders. You should be comfortable to work in a Nordic setting with colleagues of diverse professional and cultural backgrounds.

You also have:

• Demonstrated experience and strong understanding in data science and machine learning in a commercial setting.
• Proficiency in Python and SQL.
• Experience with version control and software development practices to write reusable modules, models and pipelines to be deployed in test and production environment.
• Demonstrated ability to work effectively with stakeholders from all levels of the organisation.
• Interest in data exploration and data development.
• A degree in computer science, statistics, mathematics, engineering or a related field.
• Fluency in English.
• Experience with Azure and Databricks is a bonus

About the team
As part of the Advanced Analytics Chapter you will work together with other data scientists spread across offices in the Nordics in agile teams. We strive to maintain a work environment where you as a data scientist can both develop and be challenged professionally. We are team players with a strong drive forward and the ambition to always deliver the best possible result. You can also read more about how we work with data science and ML in If’s tech blog.

We offer
Here are some of the benefits of working at If:

• An inclusive work environment where everyone is welcome
• Career and development opportunities in the biggest insurance company in the Nordics
• Social activities, as well as highly skilled professional environment
• Possibility of hybrid workplace
• Health promoting workplace with e.g., wellness allowance and various sports activities
• Great insurance benefits

Recruitment process
1. Apply with CV and answer a questionnaire.

2. 30-minute initial interview with hiring manager.

3. Technical step: Take-home exercise followed by technical interview with hiring manager and members of the team.

4. HR step: Logical and personality tests followed by HR interview to discuss the test results.

5. Background and reference checks.

Application deadline: We will review and interview candidates on an ongoing basis. The application will be closed when a suitable candidate has been found.

To apply for the position: Please attach your CV and answer the questions in the application form.

Work location: Stockholm, Gothenburg, Copenhagen, Oslo, Espoo or Turku. We have a hybrid working arrangement, where you work at least three days per week in the office.

Travelling: Some travelling in the Nordic countries is required.

Start: As soon as possible.

It is a requirement for the position that If’s extended fit & proper requirements, including background checks, can be met.

If you have questions about the process or the position, please contact Lu An, Chapter Lead Advanced Analytics at Se e-mailadresse på jobbank.dk .

We look forward to your application!

Location: Alta

Additional location:

• Oslo
• Mölndal
• Turku
• Stockholm
• Espoo
• København