Data Science Leader at Inter IKEA Group

Älmhult, Skåne County, Sweden -

Full Time

Start Date

Immediate

Expiry Date

11 Feb, 26

Salary

0.0

Posted On

13 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Leadership, Data Science, Analytics, Statistical Methodologies, Machine Learning, Data Management, Data Visualization, Python, R, Tensorflow, Cloud Environments, Agile Methodologies, DevOps, Data Modeling, MLOps, PowerBI

Industry

Furniture and Home Furnishings Manufacturing

Description

Company Description IKEA is building for the future. The goal of Range Experience is to support and empower customers to find their personal best home furnishing solutions. We run and develop digital solutions used by customers and co-workers enabling them to design homes and home furnishing solutions for the entire IKEA range. Part of our portfolio are planning solutions for Kitchens, Bathrooms, Storage solutions, Beds... Our next big step ahead will be to enable customers to design their full homes. The solutions and capabilities we develop are an integral part of the entire seamless buying and selling experience and a key contributor to converting visitors into happy customers and to engaging with our customers from the start. Utilizing data around and about our products to create more personalized experiences is an integral part of the work we do. Our end user is not only people planning their homes, from their home. We also deliver solutions to all IKEA retailers. Do you want to be part of our journey to create a better everyday life for the many people? Job Description At IKEA, we believe in the power of data to drive meaningful insights and transform our business operations. We are seeking an ambitious and experienced Lead Data Scientist to join our dynamic Data Science and Analytics team. This pivotal role will provide you the opportunity to lead a central team of Data Scientists and Analytics experts and innovate the way we use data every day In this role you will: Lead a centralized team of Data Scientists and Analytics experts. Act as the central contact point and escalation role within the IKEA Data Science/Analytics community. Facilitate continuous improvement, collaboration, and sharing of methodologies, tools, and knowledge across the Data Science community at IKEA. Provide technical leadership, fostering a supportive and collaborative culture within the Data & Analytics organization. Collaborate and communicate effectively with various departments to understand stakeholder needs and develop strategic solutions. Ensure consistency through the support of relevant development techniques, digital frameworks, and best practices. Ensure insights and conclusions from data science are accessible to all parts of the organization. Promote and sustain a culture of data-driven decision-making throughout IKEA. Work closely with data scientists, data engineers, architects, analysts, and peers across IKEA. Remain up-to-date with the latest trends and advancements in technology. Be hands-on in the delivery and development of Data Science/Data Analytics digital products, ensuring quality assurance and testing of deliverables. Qualifications To be successful in this role you will need to have Leadership and business development expertise in complex organizational settings, driving strategic goals forward. Deep and comprehensive knowledge of statistical and machine learning methodologies paired with advanced data management and visualization skills. Proficiency in understanding diverse data structures and employing common data transformation methods to extract and utilize meaningful insights. Skilled in programming languages, technologies, and frameworks such as Python, R, Julia, Stan, Tensorflow, Keras, Jupyter, Databricks, and cloud environments including Azure, AWS, and Google. Expertise in applying data modeling techniques and concepts, along with experience in distributed technologies and graph databases to enhance data analysis capabilities. Embrace and implement modern development practices such as Agile methodologies and DevOps culture to streamline workflow processes. Proficiency in leveraging a robust toolkit of languages, technologies, and frameworks: Databricks, Python, Pyspark, Tensorflow, Torch, Scikit-learn, PyMC, MLFlow, MLOps, Langchain, PowerBI, Plotly, and various Python libraries to innovate and optimize solutions Additional Information This role is full-time (40 hours per week) and is based in Almhult, Sweden. For questions related to recruitment process please contact [email protected]. For this position we are interviewing continuously so please don’t delay with your application in English and don’t forget the cover letter. This position closing date will be 27/11/25 At IKEA, we are looking for people who believe everyone deserves a seat at the table. You’re welcome no matter where you come from, what you believe, and what you look like. We don’t even care how you have furnished your home. We’re interested in you simply because you’re you. Even if your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. We believe that people’s different perspectives, backgrounds, and personalities make us better at understanding our customers dreams and needs. At IKEA, we’re all on the same project. If you have a special need that requires accommodation in the recruitment process, just let us know.

Responsibilities

Lead a centralized team of Data Scientists and Analytics experts while acting as the central contact point within the IKEA Data Science/Analytics community. Collaborate with various departments to understand stakeholder needs and develop strategic solutions.