Data Scientist

Job DescriptionWHAT YOU’LL DODo 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 teamCollaborate with business stakeholders and cross-functional partners to identify opportunities where data science can create valueCollaborate 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 valueSupport the development of tools and frameworks for common machine learning needs like model traceability, feature reuse, and A/B testingBe 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. WHO YOU’LL WORK WITHYou’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.WHO YOU AREWe 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 learningSolid foundational knowledge of machine learning and statistics, with the ability to apply these concepts to real business problemsExperience developing and evaluating machine learning models using Python and commonly used data science librariesUnderstanding of the machine learning lifecycle, from problem definition and experimentation to model evaluation and deploymentExperience working in cross-functional and agile environments, collaborating with both technical and business stakeholdersExperience working with time series data, forecasting or optimisation problems is beneficialAnd people who are…Comfortable working with cloud platforms, like Google CloudHands-on and eager to understand business needs and turn them into technical solutionsAlways looking for ways to automate and simplify, taking initiative to improve productsStrong team players who are result-oriented and driven to challenge and innovateWHO WE AREH&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.WHY YOU’LL LOVE WORKING HEREAt 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 holidayWe offer a collective agreement which includes pension and life insuranceH&M Incentive ProgramWellness benefit SEK 4,000/yearBenify Benefits PortalCommunity with activitiesJOIN USOur 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.Please note: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.