Who are you?
You are a curious and driven Data Scientist who combines strong analytical skills with a genuine desire to turn data into real business impact. With solid experience in the field, you’ve learned how to balance technical depth with practical delivery, and you know when to explore, when to iterate, and when to ship.
You thrive in an environment where collaboration and ownership go hand in hand. At Coop, we value people who are humble yet ambitious, who bring ideas to the table, and who believe that progress happens when everyone contributes. You’re a strong communicator and someone who can explain complex concepts clearly, work closely with colleagues across disciplines, and help translate data into decisions that matter.
Must have:
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Proven experience building and deploying machine learning and deep learning models in production
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Strong programming skills in Python and Spark
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Experience working in cloud-based environments (e.g. Azure, AWS, or GCP)
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Proficiency with Git and version control in collaborative settings
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Experience with deep learning frameworks such as PyTorch
Nice to have
- Experience applying or fine-tuning LLMs for data enrichment, classification, or automation use cases
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Experience deploying models using MLOps principles
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Hands-on experience in Databricks
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Exposure to large-scale datasets and distributed computing
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Interest or background in retail, e-commerce, or supply chain analytics
Fluency in both spoken and written English is required, while proficiency in Swedish is a strong plus.
What we offer you:
At Coop, you’ll join a company with an enormous amount of data and endless opportunities to innovate. You’ll get the freedom to experiment, the trust to take ownership, and the satisfaction of seeing your work make a difference, from how we serve our customers to how we run our business.
We work in a hybrid model where you’ll spend around three days per week at our Solna headquarters.
How to apply:
If you have questions about this assignment, you are welcome to contact Head of AI & Business Intelligence ([email protected]).
We will perform interview continuously so please apply in English with your CV, and some words why you feel you’re a good fit for this role at Coop.
