
H & M Hennes & Mauritz GBC AB · Stockholm
Job Description WHAT YOU’LL DO Do what you love and help us drive change! As a Data Scientist at H&M, you’ll use machine learning, statistics and advanced ana...
Job Description
Do what you love and help us drive change! As a Data Scientist at H&M, you’ll use machine learning, statistics and advanced analytics to solve complex business challenges within forecasting, planning and decision-making. Working closely with business and tech teams, you’ll turn large and complex data sets into insights and scalable solutions that create measurable business value.
Contribute to the short- and long-term data science agenda within a product team
Collaborate with business stakeholders and cross-functional partners to identify opportunities where data science can create value
Collaborate with machine learning and data engineers to design, build and deploy forecasting and machine learning solutions that support business planning and optimisation.
Help colleagues and stakeholders understand machine learning models, data-driven insights and the decisions they support.
Explore large, complex data assets to uncover insights that drive business value
Support the development of tools and frameworks for common machine learning needs like model traceability, feature reuse, and A/B testing
Be part of a cross-functional agile team of engineers, data scientists and business experts developing machine learning solutions that support forecasting and planning across H&M.
You’ll join a collaborative, cross-functional team of highly skilled engineers, data scientists and business stakeholders. Together, you’ll develop machine learning solutions that help improve forecasting and decision-making across H&M.
We are looking for people with…
A degree in applied mathematics, statistics, physics, engineering, machine learning or a similar field and a strong desire to keep learning
Solid foundational knowledge of machine learning and statistics, with the ability to apply these concepts to real business problems
Experience developing and evaluating machine learning models using Python and commonly used data science libraries
Understanding of the machine learning lifecycle, from problem definition and experimentation to model evaluation and deployment
Experience working in cross-functional and agile environments, collaborating with both technical and business stakeholders
Experience working with time series data, forecasting or optimisation problems is beneficial
And people who are…
Comfortable working with cloud platforms, like Google Cloud
Hands-on and eager to understand business needs and turn them into technical solutions
Always looking for ways to automate and simplify, taking initiative to improve products
Strong team players who are result-oriented and driven to challenge and innovate
H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices and sustainable solutions. We want to liberate fashion for many, and our customers are at the heart of every decision we make.
We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale and our knowledge to push fashion industry towards a more inclusive and sustainable future.
At H&M, we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe.
We offer all our employees attractive benefits with extensive development opportunities around the globe. All our employees receive a 25% staff discount usable on all H&M brands in stores and online. In addition to our staff discount, all our employees are included in H&M Incentive Program (HIP).
30 days holiday
We offer a collective agreement which includes pension and life insurance
H&M Incentive Program
Wellness benefit SEK 4,000/year
Benify Benefits Portal
Community with activities
Our uniqueness comes from a combination of many things: our inclusive and collaborative culture, our strong values and opportunities for growth. But most of all, it’s our people who make us who we are.
Take the next step in your career together with us. The journey starts here.
That due to summer holiday periods, there may be longer response times and some delays throughout recruitment process.
That we are not offering relocation support for this role, therefor we are primarily looking for candidates who are already living and working in Sweden.
We are committed to a recruitment process that is fair, equitable and based on competency. We therefore kindly ask you not to attach a cover letter in your application.
About the Company At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development. About the Role You will join a data-driven environment where optimization and analytics play a central role in improving decision-making. In this role, you will work hands-on with production-grade optimization models and help evolve them from robust analytical tools into scalable, reliable solutions used in practice. The work spans the full flow from data wrangling and model development to deployment, monitoring, and stakeholder dialogue. You will operate in a cross-functional setting and help connect business needs with technical solutions in a domain where complex data, cloud platforms, and advanced modeling come together. This is a strong opportunity for you who enjoy combining discrete optimization, machine learning, and production-ready engineering in one role. Job DescriptionYou will maintain and improve existing optimization models by identifying weaknesses, refining logic, and scaling performance. You will develop and support production-grade solutions for optimization and analytics, with a focus on robustness, maintainability, and efficiency. You will prepare, transform, and enrich data by improving data wrangling pipelines and integrating additional data sources. You will present model outputs and analytical insights to stakeholders and translate business needs into technical approaches. You will monitor and maintain deployed solutions on GCP to ensure stable and efficient performance over time. You will collaborate closely with Data Scientists, ML Engineers, and Product Managers to improve model reliability, scalability, and impact. You will contribute to deployment, monitoring, and lifecycle management practices for machine learning models. You will perform ad hoc analyses and build visualizations that support data-driven decisions across teams. RequirementsStrong experience with discrete optimization models, including Linear Programming, Integer Programming, or Mixed Integer Programming. Proven experience developing and deploying machine learning models in the cloud, preferably on GCP. Solid Python skills and the ability to write clean, efficient, modular, production-ready code that is easy to maintain and test. Strong SQL skills for data manipulation and analysis. Experience building robust data wrangling, aggregation, and preparation pipelines across diverse data sources. Familiarity with DBT for data transformation. Ability to work effectively in Agile, cross-functional teams. You communicate clearly with both technical and non-technical stakeholders and are comfortable working in complex problem domains. Nice to haveHands-on experience with MLOps and CI/CD pipelines. Experience working with Google Cloud Platform in production environments. What We OfferPermanent employment at Avaron AB Occupational pension Wellness allowance of SEK 5,000 per year Application Selections are made on an ongoing basis – apply as soon as you can.
You know that bit where every company says they’re “changing the world”? Yeah, it can feel a little forced. But we like to think our story actually has some realness to it. Our story begins with Shadi Bitar and Ninos Malki, who came to Sweden from Syria as kids and discovered that books could be a bridge - helping them learn the language, understand the culture, and explore new worlds. A thought emerged, what if everyone could have that? And just like that, Nextory was born - your all-access pass to read, listen, and discover new perspectives without limits. And now, we're on a quest to find a Data Scientist. Let us tell you about the role 📖 As a Data Scientist at Nextory, you will be part of our centralized data team, supporting our Business value stream with an analytical mindset and tech-savvy approach to drive sustainable subscriber growth. You will work closely with stakeholders across Business, Marketing, and Product to create data-driven insights and models that improve decision-making and business performance. Some examples of what you might be spending your time on: * Owning projections and forecasts related to activations and new paying subscribers * Supporting budgeting, forecasting, and ad hoc business analysis with actionable insights * Building and improving Nextory’s central data capabilities and ways of working * Supporting the Performance Marketing team with MMM, attribution models, and other analytical frameworks to improve marketing efficiency * Drive data-informed growth by analyzing user behavior, optimizing funnels, and running A/B tests to improve acquisition and conversion. * Build dashboards, reporting tools, and measurement frameworks in collaboration with Product and Business to provide clear performance insights and support Nextory’s growth strategy. The main character we’re looking for 👀 We believe that you are currently working in a similar role at a fast-moving, product-focused company. You enjoy solving complex business challenges through data and are confident working with multiple stakeholders and know how to balance business needs with analytical rigor. Furthermore, we believe you have: * Several years of experience working as a Data Scientist or Data Analyst * Strong knowledge of SQL and Python * Experience working with performance marketing, attribution modeling, Marketing Mix Modeling (MMM), or related analytical methods * Good understanding of digital marketing channels such as Google Ads, Meta, SEO, and online customer acquisition * Experience building dashboards or working with BI tools (e.g. Looker, Tableau, or similar) The Nextory way of working 🏠 At Nextory, we believe a strong and inclusive culture is key to our success - and that culture flourishes when we meet and collaborate in person as much as possible. That’s why we spend the majority of the working time at our beautiful office! We are based in Stockholm, Sweden, with offices in Paris and Bangalore. Our hybrid work policy includes four days in the office and Wednesdays as a work-from-home day. Your next story starts here 💫 We look forward to your application 💫. Applications are reviewed continuously, but please note that due to summer vacations, our response times may be a little longer than usual. If you have any questions about the role, please contact erika.thorslund@nextory.com. Please note that we do not offer relocation and that a six-month probationary period applies.
You know that bit where every company says they’re “changing the world”? Yeah, it can feel a little forced. But we like to think our story actually has some realness to it. Our story begins with Shadi Bitar and Ninos Malki, who came to Sweden from Syria as kids and discovered that books could be a bridge - helping them learn the language, understand the culture, and explore new worlds. A thought emerged, what if everyone could have that? And just like that, Nextory was born - your all-access pass to read, listen, and discover new perspectives without limits. And now, we're on a quest to find a Data Scientist. Let us tell you about the role 📖 As a Data Scientist at Nextory, you will be part of our centralized data team, supporting our Business value stream with an analytical mindset and tech-savvy approach to drive sustainable subscriber growth. You will work closely with stakeholders across Business, Marketing, and Product to create data-driven insights and models that improve decision-making and business performance. Some examples of what you might be spending your time on: Owning projections and forecasts related to activations and new paying subscribers Supporting budgeting, forecasting, and ad hoc business analysis with actionable insights Building and improving Nextory’s central data capabilities and ways of working Supporting the Performance Marketing team with MMM, attribution models, and other analytical frameworks to improve marketing efficiency Drive data-informed growth by analyzing user behavior, optimizing funnels, and running A/B tests to improve acquisition and conversion. Build dashboards, reporting tools, and measurement frameworks in collaboration with Product and Business to provide clear performance insights and support Nextory’s growth strategy. The main character we’re looking for 👀 We believe that you are currently working in a similar role at a fast-moving, product-focused company. You enjoy solving complex business challenges through data and are confident working with multiple stakeholders and know how to balance business needs with analytical rigor. Furthermore, we believe you have: Several years of experience working as a Data Scientist or Data Analyst Strong knowledge of SQL and Python Experience working with performance marketing, attribution modeling, Marketing Mix Modeling (MMM), or related analytical methods Good understanding of digital marketing channels such as Google Ads, Meta, SEO, and online customer acquisition Experience building dashboards or working with BI tools (e.g. Looker, Tableau, or similar) The Nextory way of working 🏠 At Nextory, we believe a strong and inclusive culture is key to our success - and that culture flourishes when we meet and collaborate in person as much as possible. That’s why we spend the majority of the working time at our beautiful office! We are based in Stockholm, Sweden, with offices in Paris and Bangalore. Our hybrid work policy includes four days in the office and Wednesdays as a work-from-home day. Your next story starts here 💫 We look forward to your application. Applications are reviewed continuously, if you have any questions about the role, please contact Erika Thorslund, Talent Acquisition Partner, erika.thorslund@nextory.com Please note that we do not offer relocation and that a six-month probationary period applies.