Data Scientist

Inter IKEA Group connects IKEA franchisees with range development and suppliers and ensures alignment of the overall IKEA strategic direction. Every day, we strive to develop, produce, and sell products and services that are affordable and accessible to everyone.

About the role

As a Data Scientist, you’ll play an important part in supporting data‑driven decision‑making and optimizing business processes within Range Operations. In this role, you will design, develop, and maintain data science models and products that enable insights, automation, and optimisation across IKEA. Your primary focus will be to transform data into reusable, transparent, and high‑quality data science solutions that support both business and product teams. The impact of our work continues to resonate in homes and hearts across the world.

On a typical working day, you will:

Translate business challenges into data, and algorithm-driven problem statements

Collect, integrate, and prepare structured and unstructured data from sources such as relational databases and file/document storage systems

Design, develop, and maintain machine learning models and supporting data science infrastructure

Apply statistical methods and machine learning techniques to solve real business problems

Collaborate closely with product teams and stakeholders to understand needs and translate them into data-driven solutions

Communicate insights, findings, and recommendations in a clear and actionable way to decision-makers and non-technical audiences

Build reusable, transparent, and high-quality data science solutions that enable insights, automation, and optimization at scale

Contribute to improved data-driven decision-making and business process optimization across Range Operations

Ensure all solutions are scalable, maintainable, and aligned with both business and product objectives

The role as a Data Scientist requires you to have:

Experience building applications leveraging Generative AI foundation models and related technologies

Strong proficiency in programming languages and tools such as Python, SQL (or similar), with experience in cloud-based data environments

Solid understanding of statistical methods, machine learning techniques, and applied data science

Good knowledge of data modelling, data transformation, and end-to-end analytical workflows

Experience working with structured, semi-structured, and unstructured data sources

Ability to translate complex business problems into data science and analytical solutions using structured and logical thinking

Strong communication skills, with the ability to explain complex analytical concepts to non-technical stakeholders

Structured, quality-focused, and collaborative working style with the ability to work independently and across multidisciplinary teams.

An IKEA experience is a must

Additional information

We have preferred candidate in the process.If you have any questions about the role or the recruitment process, or if you have a special need that requires accommodation in the recruitment process, feel free to contact the Recruiter aorui.pu1@inter.ikea.com