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. The team you will be a part of work on predictive modelling, recommender systems, clustering algorithms and building AI solutions. In this role, you will focus on developing GenAI solutions to transform how we engage customers and deliver value across different areas of our business.

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 expect from you

To excel in this role you need to have at least a couple years of experience as a Data Scientist or Machine Learning Engineer and have deep knowledge in machine learning/AI. We see that you have a degree in mathematics, computer science, physics, statistics, data science or equivalent engineering degree. 

You  have deep knowledge in advanced modelling with different types of AI models - both traditional   and generative - and a great interest in MLOps and building scalable code. We would also like to see that you have worked in projects building and delivering applications with generative AI and that you are excited about exploring new concepts in the world of data science and AI.

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:

•    Experience developing end-to-end machine learning solutions – from data preparation and model training to deployment and monitoring
•    Experience with generative AI applications
•    Proficiency in Python and SQL
•    Working with large data sets
•    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
 

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.