Senior Data Scientist – Supply Planning at H&M Group

Stockholm, , Sweden -

Full Time

Start Date

Immediate

Expiry Date

20 Apr, 26

Salary

0.0

Posted On

20 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Time Series Forecasting, Python, R, SQL, Spark, Cloud Platforms, MLOps, Model Deployment, Data Engineering, ETL Pipelines, Data Wrangling, Feature Engineering, Retail Demand Forecasting, Supply Chain Dynamics, Inventory Planning, Data Storytelling

Industry

Retail

Description

Job Description WHAT YOU’LL DO You will lead the end‑to‑end design and deployment of forecasting and decision‑support solutions that improve availability, cost, lead time and inventory across H&M’s supply network. You will partner closely with Logistics, Merchandising, Supply Planning and Retail Operations to deliver fitforpurpose models and tools at a global scale with a direct influence on business results. → Design and implement modular demand forecasting systems that cater to the complexity of our business. → Migrate and harden existing ML forecasting models to enterprise platforms, ensuring performance parity and reliable production operation → Build decisionsupport for allocation and replenishment that accounts for network constraints, servicelevel targets and campaign peaks → Collaborate across value streams with business developers, data analysts and senior data scientists to improve initial allocation and replenishment logic → Drive innovation and knowledge sharing, set modelling standards and mentor colleagues in the Supply Planning data community WHO YOU’LL WORK WITH Supply Planning is a unit within H&M Group’s Supply Chain function. Our mission is to enable Region and Business Units to maximise the value of availability, lead time, cost and inventory in a sustainable way by leading the development, implementation and follow up of supply planning strategies, processes and technology. You will collaborate closely with Region and Business Units, the broader Supply Chain and our logistical network, and be part of a large data community in an organisation that relies on data-driven decisions. WHO YOU ARE We are looking for people with… → Converts ambiguous questions into actionable analytical frameworks. → Strong knowledge of ML models for timeseries forecasting → Experience with Python, R, SQL, Spark and cloud platforms → Proficiency in MLOps, model deployment and automation → Data engineering skills, including ETL pipelines, data wrangling and feature engineering → Understanding of retail demand forecasting, supply chain dynamics and inventory planning And people who are… → Proactive in turning ambiguity into clear, actionable plans → Strong in translating complex datasets into actionable insights → Comfortable working in cross functional settings with multiple stakeholders → Strong in presentation and data storytelling → Self-driven, proactive and confident in taking ownership early → Familiar with simulation modelling and decisionsupport frameworks Please note that due to the holiday period, application reviews will recommence after January 8th. WHO WE ARE 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 the 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 the fashion industry towards a more inclusive and sustainable future. WHY YOU’LL LOVE WORKING HERE At H&M Group, we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe. → All our employees are included in our H&M Incentive Program (HIP) → All our employees receive a staff discount card, usable on all our H&M Group brands in stores and online. Brands covered by the discount are H&M (Beauty and Move included), COS, Weekday, Monki, H&M HOME, & Other Stories, ARKET, Afound → 30 days holiday for H&M-based colleagues → Collective agreement including pension and life insurance → Wellness benefit of 4000 SEK/year → Access to Beniflex Benefits Portal → Community with activities JOIN US 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. *We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application.

Responsibilities

Lead the design and deployment of forecasting and decision-support solutions for H&M’s supply network. Collaborate with various departments to improve availability, cost, lead time, and inventory management.