Põhiline

Data Scientist

Malmö, null, Sweden Ettevõte: TN Sweden Klient / Tööandja: Ikea
Postitatud: 18.05.2026
Sulgemiskuupäev: 02.07.2026
Tööviide: 900192a6ef4cb990337be23b75aeab6c

Tööinfo

Asukoht
Malmö, null, Sweden
Ettevõte
TN Sweden
Klient / Tööandja
Ikea
Tööviide
900192a6ef4cb990337be23b75aeab6c
Kuulutuse tüüp
Põhiline
EL-i tööluba nõutav
Ei
Postitatud
18.05.2026
Sulgemiskuupäev
02.07.2026

Tööülesannete kirjeldus

Job ID:

Date posted: 10/06/

Who you are

We are looking for a Data Scientist to join us in developing ways for IKEA to stay relevant for our customers. We are using data and analytics within cross-functional teams, to create value all along our customers journey.

Our diverse Data & Analytics team in Customer Engagement is growing and we would love to talk with you, if you recognize yourself in some of the following:

passionate about understanding a business problem and applying Data & Analytics to try and solve
them
have experience in developing data and statistics-driven solutions for real-life business problems
exhibit the ability to clearly communicate statistical and machine learning concepts to non-technical
stakeholders, ensuring a shared understanding of the models' impact and operational requirements.
demonstrate proficiency in deploying and maintaining robust machine learning models in production
environments, ensuring their performance and reliability.
master techniques for Data Science and can choose relevant algorithms fit for purpose, such as
gradient boosting, Bayesian modelling, deep learning, natural language processing, time-series
analysis or optimization/OR techniques
have experience leading the development of advanced analytics frameworks within large
organizations
are a team player who takes ownership, builds cross-functional relationships with senior peers and
loves sharing knowledge with other Data Scientists and coworkers
are curious, self-directed and want to keep learning!

This is our wish list! If you dont recognize yourself in all these points, you might still be an excellent candidate for the role. We like to think long-term and invest in peoples development together with us.

The IKEA culture and values are very much a part of our business and day to day work life. For you to thrive and grow with IKEA its important for us that you share our values! You can read more regarding our values and life at IKEA on our website What you'll be doing day to day

IKEA is taking huge steps in its digital transformation and our Data & Analytics Customer team is at the forefront of building intelligent systems for data-driven business decisions. For example, within Customer Engagement we are developing models and tools to answer questions like:

How do we best encourage our customers to log-in to have a more seamless journey on the web and
app?
How can we ensure that we send the most relevant content at the right time to our customers?

Our team within Ikea

You will work in Data & Analytics together with other Data Analysts, Data Scientists and Data Engineers. Together you will be joining cross-functional teams consisting of colleagues from Technology, Product and Design, that design, implement and deploy products that help to solve these kinds of problems. It will be a mix of product insights, data visualization and writing code as well as talking with product owners and business stakeholders.

IKEA has long been a global leader in home furnishing. We are proud of our vision to improve the everyday life of the many people. But our industry is quickly changing and we need to adapt to stay competitive.

As part of IKEAs journey to strengthen our digital capabilities, we are building a Data & Analytics function. This team is working on problems across the company, ranging from customer modeling, loyalty, customer communication and more.
We see so many opportunities for what we can accomplish and have the ambition to be a world-class team. At the same time, we believe that our work is not just about building models, but also about learning and having fun together.

We can offer you:

Work on some very interesting problems as described above, and you are encouraged to spot new
opportunities or to collaborate with Data Science colleagues in other specialist teams.
Opportunities to have global impact with your work.
Flexible and modern tools: we deploy on Google Cloud Platform and we use a lot of open-source tools
across the board.
Hardware and OS of your choice.
A team of great colleagues to learn with and from (with world-class experience across all aspects of
Data Science).
Continuous learning (we aim to spend 20% of our working time on learning).
Flexible and friendly working environment.
Relocation support (If Senior) if not already in the area: we are based in southern Sweden,
Amsterdam in the Netherlands, and in Madrid, Spain.

Questions and support? Let's connect!

Does this sound like your next challenge? IKEA offers an exciting and empowering work environment in a global workplace. And as the worlds leader at life at home, you have exceptional opportunities to grow and develop together with us.

If you have questions regarding the recruitment system, please reach out to Annette Björkquist-Åhstedt at . Please apply with your application in English. Note that we cant process any applications through email.

As you might know, in Sweden its common to take a few weeks of holiday during July, most people take over multiple weeks in a row; at IKEA we are no different. We believe in a healthy work-life balance and encourage our co-workers to take time to relax, recharge, and unwind. Because of this great benefit, we might take a bit longer to get back to you, we will return in August, and you should hear from us as soon as possible.

We look forward to learning more about you!

Thank you!



Oskused

apply blended learning apply for research funding apply research ethics and scientific integrity principles in research activities build recommender systems Business Analytics Business Intelligence collect ICT data communicate with a non-scientific audience Computational Biology Computer Simulation conduct research across disciplines create data models Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data visualisation software define data quality criteria deliver visual presentation of data demonstrate disciplinary expertise design database in the cloud design database scheme develop data processing applications develop professional network with researchers and scientists Digital Curation disseminate results to the scientific community draft scientific or academic papers and technical documentation empirical analysis establish data processes evaluate research activities execute analytical mathematical calculations Hadoop handle data samples Healthcare Analytics image recognition implement data quality processes increase the impact of science on policy and society information categorisation Information Extraction integrate gender dimension in research integrate ICT data interact professionally in research and professional environments interpret current data LDAP LINQ make data-driven decisions manage data manage data collection systems manage findable accessible interoperable and reusable data manage ICT data architecture manage ICT data classification manage intellectual property rights manage open publications manage personal professional development manage research data Marketing Analytics mathematical modelling MDX mentor individuals multidisciplinary research N1QL normalise data online analytical processing operate open source software perform data cleansing perform data mining perform project management perform scientific research promote open innovation in research promote the participation of citizens in scientific and research activities promote the transfer of knowledge publish academic research quantitative analysis query languages report analysis results Research Design resource description framework query language Scientific Computing scientific literature Social Network Analysis SPARQL speak different languages State Estimation statistical modeling techniques Statistics synthesise information teach in academic or vocational contexts think abstractly Unstructured Data use data processing techniques use databases use spreadsheets software visual presentation techniques write scientific publications XQuery

Sarnased ametikohad

Soovitatud töökohad

Eurojobs Support Assistant