One Family.
We come from different places and
bring diverse skills and perspectives.
Together we shine as one family. One for the team.

This is us

The Babyshop Group; including,,, and 10 physical stores in Norway and Sweden is today a leading global omnichannel retailer with a total turnover of 120 million Euro.  We are a fashion retailer in tech, not only do we have a modern tech-stack, but we also have a self-automated AutoStore warehouse solution containing 130,000 boxes and 120 robots.  At present Babyshop Group has offices in Paris, London, Stockholm, Oslo and Seoul in total over 50 nationalities in our workforce and 70% of women. We are a young and fast-growing company with a high entrepreneurial spirit that is passionate about creating the best buying experience for parents under the core values Lead Not Follow, Own it, Simplify and One Family.  It all started with the single domain and two entrepreneurs in 2006.

Our journey has only just begun. Want to come along?
We are constantly looking for talented people to work in our Stockholm headquarter, our state-of-the-art automated warehouse in Jönköping, our London office and in any of our retail stores in Sweden or Norway.


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Job title: Buyer Sports
Location: Stockholm HQ
Final application date: 2021-08-28

As a buyer for the Sport and street kids’ segment, you will head up one of Babyshop Groups important category with a mix of +40 well known sport and street wear brands. You will be based in Stockholm but work closely together with our office in London.

Location: Jönköping
Final application date: 2021-08-15

Babyshop's photo studio is looking for a new copywriter to join our dedicated, creative in-house team. 

We are looking for a new Copywriter/Product description editor to help our Content Department through season after season of growth and development, and to ensure that we are providing our customers with the right information in the most effective way possible.

Role & Responsibilities

You will be part of a small team of copywriters where you will be creating product texts for individual garments, toys, home- and baby products for a leading global eCommerce fashion company focused on the Children's sector. 

Your written English and Swedish must be exceptional and it is meritorious if you have skills in French as well. We see that your understanding of fashion and trends is good. In addition, you and your fellow copy colleagues will be responsible for maintaining and cultivating the company's tone of voice by using our content tool Textual.

You must be able to work on site at our warehouse in Stigamo, Jönköping.

Your Profile/Personality

  • As a Product description editor, you should have a good grasp of the creative process and be able to put yourself in the position of the customer and their needs. 
  • Preferred knowledge in the writing tool Textual and great computer skills
  • Your copy should be crafted to perfection and be fluent in Swedish as well as English - this is critical. Babyshop is an international company, and our internal language is English.
  • You understand that the details make the difference. As a person, you need to be a great teamplayer, be decisive and kind, able to adapt to changes, and be passionate about what you do.
  • You are comfortable receiving feedback, following writing metrics, guidelines and meeting daily goals.
  • We see that you have experience in copywriting, creative writing and have done post edit on product descriptions.
  • An education within the field of marketing or communication is beneficial.

Our Offer

The position is a full time position. Our working hours are Monday to Friday between 07.00 and 16.00. The start date is as soon as possible.

What's in it for you? 

We are a diverse group of likeable, youthful (in age or spirit) people from all over the world that simply love what we do and has a lot of fun. At our workplace, characterized by the belief and values “Lead not follow, Own it, Simplify and One family”, you will collaborate with talented and passionate colleagues across the company. These colleagues are a blend of Digital Marketing, Graphics, Logistics & Robot Automatization, IT, Operation, Growth, Finance, Customer Service, BI, Buying (inc proprietary brands), People/Culture, Photo/Copy, Brand marketing (inc social media team). We are endeavoring real-world practitioner experience across a range of disciplines, collaborating with experts in other spaces. 

Are we a good match?

So, do the above resonate with your passion and ambition? Are you inspired by the thought of impacting families across the globe in a positive way? Do you want an opportunity to apply your expertise in a context where you truly contribute to our family context? If so then we’d love to hear from you. Click "Apply" to easily submit your application and do so before 15/8 2021. We review applications continuously.

Location: Stockholm HQ
Final application date: 2021-08-31

Leveraging transfer learning for Outfit Matching in children's fashion, using deep learning


About Babyshop Group

E-commerce is at the heart of Babyshop Group where premium childrens’ fashion is retailed on a multitude of websites (eg.,,, Babyshop Group has had continuous growth the past years, currently selling and shipping internationally with a revenue of more than 1.5 billion SEK. In order to sustain such growth, Babyshop Group will continue to work in a data driven environment, which you hopefully can be a part of! We at Babyshop work with machine learning (ML) on a daily basis, whether it being exploratory data analysis and modelling in a Jupyter Notebook or building ML-pipelines integrating cloud solutions for personalization, demand prediction, recommender systems, learning-to-rank and more. If this is something that you want to develop within and you find the thesis proposal interesting, apply! By the way, at our office by Karlaplan you will find lots of tasty coffee, tea and inspiring individuals.


Thesis proposal

At Babyshop Group, there are hundreds of thousands of articles for children’s fashion, which makes the matching of outfits by experienced fashion experts extremely time-intensive, if not infeasible, to do by hand. Because of this, a need for a support system in curating stylish outfits is large. In literature, a multitude of previous work has been done in regards to outfit matching, most notably Bettaney Et Al. Here, multiple deep learning models have been trained on tens of thousands of outfits to predict whether a collection of items, where each item consists of an image, text description and categorical features, constitute a good outfit or not, which has proven highly successful. Moreover, other related work where the corresponding datasets are published aswell are Vasileva Et Al, Xu Et Al, Song Et Al and Jagadeesh Et Al  However, all of these datasets are of adult fashion, with very little (or none) emphasis on childrens’ fashion.


Recently, transfer learning has proved very successful to transfer knowledge learned within one domain to another, most prominently in regards to object-detection in images, using YoloV3[1], as well as natural language processing using BERT[2] and GPT[3]. Even within the specific domain of fashion, transfer learning has been used successfully to transfer knowledge between one subdomain and another, see iMaterialist. Because of this advancement in transfer learning, ML-practitioners with access to limited sets of labeled data can successfully leverage these transfer learning frameworks that are trained on immense datasets.


Adult and children’s fashion is, from a human point of view, very similar. However, the extent to which neural networks generalize across the two subdomains is currently unknown. The question then arises, is it possible to combine the pre-trained models from previously mentioned outfit matching models that are trained on almost exclusively adults’ fashion, together with the learnings from transfer-learning frameworks - in order to successfully perform outfit matching within childrens’ fashion?


We are looking one or a pair of two students for this thesis, and for a good fit we believe it to be preferable if you have the following qualifications:

  • Student of Computer Science, Machine Learning, Computer Engineering, Mathematics, Physics, or related field (e.g. applied mathematics/statistics).
  • A good understanding of the use of some of the current state of the art machine learning frameworks such as Keras, TensorFlow, Scikit-Learn, Spark etc. in developing ML applications.
  • Proficiency in Python and Git.
  • Knowledge about data wrangling and data munging, using SQL, Pandas and Numpy.
  • Good communication skills in written and spoken English.


What we offer

  • Supervision from experienced data scientists and ML practitioners.
  • The compute-resources needed for such a modelling-heavy task.
  • 20 000 SEK on completion of the thesis as compensation per student.
  • Inspiring culture and fun after-works!


What we unfortunately do not offer

  • Relocation package
  • Fully (100%) remote thesis work. We are flexible with remote work, but cannot offer a fully remote position.
  • Swedish Visa assistance


Starting, early September till late December / early January (depending on your semester).

Contact: Marcus Svensson, Data Scientist at Babyshop Group

Last application date is 31/8, but continuous selection is carried out.


[1] Joseph Redmon and Ali Farhadi, YOLOv3: An Incremental Improvement

[2] Jacob Devlin, Ming-Wei Chang, Kenton Lee and Kristina Toutanova, BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

[3] Alec Radford, Karthik Narasimhan, Tim Salimans and Ilya Sutskever, Improving Language Understanding by Generative Pre-Training

Location: Jönköping
Final application date: 2021-08-08

Do you have a drive to help others and a passion for premium service? Are you a team player but can also take your own initiatives? If you are a Finnish speaker with the desire to provide great service for our customers then you are a perfect fit for our Finnish speaking agent position.

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