Become one of us

As a Data Scientist at Axfood AB you will be a part of Advanced Analytics which is a key component of our central department, Strategy & Business Development. Our team's mission is to establish Axfood as a leader in AI innovation within the grocery retail industry.

We specialize in developing and maintaining end-to-end machine learning and advanced analytics pipelines, driving Axfood to become more data driven. Our team focuses on building models for various business units, including e-commerce, loyalty programs (e.g., Willys Plus, Klubb Hemköp), digital marketing, and broader AI initiatives across the Axfood group. We collaborate closely with IT, business developers, e-commerce specialists, and business analysts within the group.
 

This is what you will do

As a Data Scientist, you’ll develop and productionize machine learning and analytical models that support different areas of Axfood’s business. Our work includes predictive modelling, recommender systems, clustering algorithms, and generative AI applications.

You will work with a team of other Data Scientists, which means there will be good opportunities to grow and learn by working together. Working on a project usually involves end-to-end responsibility which means responsibility for project design, model development, productionizing pipelines, follow-up and maintenance. Therefore, it’s important to have a good collaboration with the team and other stakeholders. This responsibility also means that there is room for creativity in project design, and ultimately that you’ll have a direct impact on Axfood’s success.

Being a Data Scientist at Axfood, you will be working with a modern, cloud-based platform to build models. You will develop models using Python and SQL for programming and mainly using AWS SageMaker and Airflow for development and orchestration of pipelines.
 

This is what we exect from you

We believe you have at least a couple of years’ experience as a Data Scientist or Machine Learning Engineer, with a solid foundation in AI/ML theory and hands-on experience. You also have a degree in data science, computer science, statistics, engineering, mathematics or equivalent experience.

You excel at problem-solving, cross-collaboration with other teams and stakeholders and translating business needs into data science projects that can run in production. You have a scientific mindset, appreciate the importance of sound theory and have the skills to build robust and scalable code. You strive to create tangible value with the models you build.

As a person you are an analytical and creative problem solver with strong communication and collaboration skills. You’re proficient in English, both written and spoken. Knowledge of Swedish (verbal and written) is very desirable since the working language is Swedish.

Preferred skills and experience:

•    Working with large data sets 
•    Developing machine learning models (predictive modelling, recommender systems, clustering etc.)
•    Productionizing model pipelines, from data preparation and model training to deployment and monitoring (end-to-end)
•    Uplift modelling (modelling individual treatment effects)
•    A/B testing
•    Proficiency in SQL and Python
•    Airflow (or similar) for orchestrating pipelines
•    Version control (Git) and CI/CD tools (Bitbucket, GitHub or Gitlab)
•    Working with cloud platforms such as AWS (preferred), Azure or GCP
•    Working with Jira

The position is a permanent employment with a start date as soon as possible or by agreement. The placement is at our headquarters, Torsplan Stockholm.