Senior Data Scientist / Python Developer, Order Allocation, Group Digital, Ingka Group

Who you are

We are looking for a highly motivated Data Scientist / Python Developer to join our Order Allocation team and play a key role in shaping the logistics of fulfilling customer orders at IKEA. We want a team player who likes combining technical expertise with business curiosity. Do you have a strong math and programming background? Do you enjoy developing algorithms to improve business decisions? Then this is a great opportunity for you!

Do you recognise yourself in some of the following:

• Master’s or Ph.D. degree in Mathematics, Operations Research, Computer Science, or a related quantitative field.
• Strong background in Python development: clean and modular code design, test-driven development, CI/CD, logging and monitoring, etc.
• Expertise in code performance and algorithm design for optimisation and analysis models (e.g., operations research implementations).
• Proactive attitude and critical thinking in understanding business needs and proposing pragmatic solutions
• Team spirit and ability to work in cross-functional teams with product owners, data scientists, data analysts, and software engineers

This is our wish list! If you don’t recognise yourself in all these points, you might still be an excellent candidate for the role. We like to think long-term and invest in people’s 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, it’s important for us that you share our values! You can read more about our values and life at IKEA on our website www.ikea.com.

Your responsibilities

You will leverage your technical and analytical skills together with the team in the development of digital products within order allocation. This will require:

• Designing, implementing, and refining analysis and optimisation algorithms to improve order allocation and fulfillment efficiency.
• Developing and deploying high-quality Python solutions that integrate with our tech infrastructure.
• Continuously improving algorithms and discussing solution alternatives in cross-functional teams.
• Studying fulfilment processes and understanding the optimisation and analysis problems therein

Our team within IKEA

You will work in the Order Allocation team, in the Fulfilment and Core Services domain. The team is cross-functional and consists of other data scientists, data analysts, software engineers, and product owners. Together, the team builds digital products that orchestrate how and when customer orders are fulfilled, balancing various trade-offs and optimising different objectives. In addition to developing software, the team provides insights to business partners on product configurations and logistic process improvements at a global scale, in countries where IKEA is present.

We can offer you:

• Opportunities to work on business problems that have a global impact on both IKEA’s customers and operations
• A team of great colleagues to learn with and from (with world-class experience across all aspects of Data & Analytics and Software Engineering)
• Flexible and modern tools: we deploy mainly on Google Cloud Platform, and we use a lot of open-source tools across the board.
• Continuous learning (we aim to spend 20% of our working time on learning).
• Flexible and friendly working environment.

Questions and support? Let's connect!

The role is based in Amsterdam, Netherlands, and you will report to Data & Machine Learning Team Leader.

As you might know, in Sweden it’s 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, the recruitment process might take a bit longer.

In this recruitment, there is no relocation support provided by Ingka, hence, we are looking for people already living in or within commuting distance of the mentioned location.

We look forward to learning more about you!