Pycon 2021 - AI, Analytics & Data
- Liljeholmsstranden 5, 117 43 Stockholm, Sweden
- Department: H&M Group
Within the tech parts at H&M Group we work in multiple areas of the tech field. From AI, data and business development to engineering and testing. Joining us you are part of turning business challenges into innovative tech solutions, for all our customers – making H&M Group a global leader in combining tech, fashion and design. Being a major player gives us countless opportunities to make a real impact and shape the future.
Our people are our greatest strength resulting in creative freedom, good work-life balance and continuous learning. Here, you will be trusted with great ownership in a complex and stimulating environment.
As a Software Engineer you get a rare chance to work on solutions that will affect millions of customers around the globe, ranging from how we engage with all our customers through digital channels, to ensuring our supply chain is both sustainable, ethical and efficient.
As a Machine Learning Engineer you are a big picture thinker with a strategic mindset, the bridge between the PoC and production-phase. In collaboration with Data Scientists you develop machine learning software products and explore massive amounts of data. You try out new algorithms and test and evaluate model output, focusing on scaling solutions to all H&M Group’s brands.
As a Data Scientist within the H&M group you take on a lot of responsibility – and lots of fun. In your role you will work in collaboration with our business and engineering people both within your team and supporting teams, on creating value from data. Often the work requires solving complex problems by turning vast amounts of data into business insights through advanced analytics, modeling and machine learning.
As a Data Engineer you will works alongside with Machine Learning Engineers and Data Scientists in the team to develop scalable and production ready Advanced Analytics and AI software and products. Additionally they develop different technical tools/services to enable large scale machine learning solutions.
We are proud to foster a workplace free from discrimination. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users.
We welcome your application regardless of gender, age, gender expressions, sexual orientation, disabilities, religious beliefs, origin, or background.
Does this sound exciting? Click the “I’m interested” button on the top to get to know more about our open positions.