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H&M Group is a family of brands and businesses, making it possible for customers around the world to express themselves through fashion and design, and to choose a more sustainable lifestyle. We create value for people and society in general by delivering our customer offering and by developing with a focus on sustainable and profitable growth. H&M Group includes the brands H&M, COS, & Other Stories, Monki, Weekday, ARKET and Afound.
Do you want to be part of transforming the HR organisation within the H&M Group? Our People Analytics team is central to this transformation and you will play an instrumental role by building out a completely new data science team to support this journey!
The H&M Group is on an exciting journey to transform our business to create meaningful growth and lead our industry into a sustainable future. We will make it happen through integrating our culture, leadership, and values into everything we do.
We know that people will be key to our success, and HR plays an essential role in attracting, developing and retaining the talents we need, to transform. New ways of working are being established across the HR Community aiming to transform into a more digitalised and data driven function, harmonising ways of working across all brands and functions and providing a consistent colleague experience.
To support this change journey, we are now building a completely new People Analytics Community of Expertise. For this team, we are looking for a Senior Data Scientist who wants to take on the responsibility of translating business challenges into projects, products and tools that will enable the HR function and the organisation to make better decisions and contribute to the H&M group being the best employer around.
In this exciting role, you will be responsible for building and managing a team of data scientists to support the people analytics agenda. Working closely together with the People Analytics consultants to partner with the HR community and drive maximum impact of the insights your team will produce leveraging data science. There is a high degree of autonomy and the possibility to shape the agenda, which will allow you to come with creative and innovative solutions.
Your work will have a global reach and cut across the whole organisation. You have the opportunity to contribute to the success of the business and significantly impact the employee experience at the H&M group. You will be trusted with great responsibility from the start, where we encourage an entrepreneurial spirit and reward a passionate mindset. Welcome to a dynamic workplace where you contribute by being yourself!
Who we are looking for?
Just like everybody at H&M you are results-driven, open-minded, curious, ambitious and collaboratively focused. You have strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities. You are also highly analytical with a strong business mindset, keen to make an impact for our business with your technical expertise and to communicate data insights in business consumable format.
Furthermore, you have:
- A degree within applied mathematics, statistics, physics or engineering or similar field (e.g. machine learning). Social Science degrees (e.g., I/O Psychology, Behavioral Economics) combined with extensive data science experience will also be considered.
- 6+ years developing real-life (actually used in a business scenario) statistical modeling in industry tools with primary focus on R or Python
- 4+ years experience in AI/ML, Statistical techniques such as prediction modeling, text analytics, sentiment analysis, and/or path analysis, forecasting, various regression techniques, clustering, factor reduction, with the ability to explain results
- 2+ years experience in a people management role, delivering analytic solutions
- People Analytics experience, exposure to HR processes and Data Sources
- Experience with Agile methodology for team work and analytics ‘project’ and ‘product’ creation
- Experience with Power BI, Tableau, or QlikView is a plus
- Fluency in English
This is a full-time position, starting as soon as possible. We accept remote work for this position.
Please apply with CV (in English) as soon as possible, but at the 13th of March at the latest.
We review applications on an ongoing basis. Due to GDPR, we don’t accept applications via email.
If you have any questions about the role, contact hiring manager Philip Miles at
Kindly do not send applications to this email address, due to GDPR, we only accept applications through our career page.
We look forward to receiving your application!
H&M is committed to creating a Diverse & Inclusive environment and we are actively looking for qualified candidates irrespective of race, gender, gender identity, sexual orientation, ethnicity, religion, national origin, disability or age.
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