Senior Data Scientist, Consumer Core

Flower Infrastructure Technologies AB

⚡️ What We Do Swiftly gaining ground as Sweden’s industry leader in battery storage and expanding rapidly in selected European markets, Flower is on a mission to enable the energy system of tomorrow. With an industry-leading AI-powered platform at its core, our service includes stabilizing the energy system by enhancing predictability and flexibility for both energy producers and consumers. By combining pioneering technology with a portfolio of flexible energy assets, we break new ground towards a fossil-free energy system, allowing clean energy to power society. 🌟Who We Are Tech company at heart – purpose in our DNA. Flower consists of a diverse group of innovative individuals with a strong desire to improve the state of the world. At Flower, we believe trust, collaboration and diversity are essential to not only create an inclusive work environment, but also drive career growth. By embracing varying perspectives, we allow creativity and progress to flourish. To accelerate towards our goal of becoming the pioneering force powering the energy system of tomorrow, we are now looking for a passionate and skilled Optimization Engineer. 👩‍💻 About The Role: As a Senior Optimization Engineer, you will take a leading role in designing and advancing cutting-edge optimization models that drive the efficient allocation of Flower’s energy assets across diverse and dynamic markets. Beyond building robust and well-tested models, you will be expected to influence technical strategy, mentor peers, and ensure that our optimization systems are not only accurate and efficient but also scalable and future-proof. What you’ll do Lead the design, implementation, and deployment of advanced mathematical optimization models to maximize efficiency and revenue across multiple energy markets. Drive architectural and technical decisions for optimization systems, ensuring robustness, scalability, and maintainability. Write, review, and maintain production-grade Python code, embedding optimization at the core while setting a high standard of engineering excellence. Design effective test strategies to validate optimization models ensuring reliability and performance under diverse market conditions. Proactively identify opportunities to improve model design, optimization approaches, and integration with other trading systems. Stay ahead of emerging trends in mathematical optimization, contributing innovative ideas and translating them into Flower’s roadmap. Mentor data scientists & engineers and provide thought leadership within the Asset Optimization domain and fostering a culture of technical excellence. Who you are Master’s or PhD in Operations Research, Computer Science, Industrial Engineering, Applied Mathematics, Engineering Physics, or a related quantitative field. 5+ years of professional experience developing and deploying production-grade optimization models in commercial or research settings. Proven expertise in applying advanced MILP optimization techniques to balance expressiveness of the formulation, robustness and model complexity Solid theoretical foundation and ability to translate mathematical concepts into practical, high-performance optimization systems. Strong proficiency in Python and experience developing production-quality optimization code within complex systems. Experience developing test methodologies for optimization solutions. Skilled communicator, able to present technical concepts with clarity to both technical and non-technical stakeholders, and influence decision-making. Hands-on experience with mathematical modeling libraries (e.g., Pyomo, SciPy, OR-Tools) and solvers (e.g., Gurobi, HiGHS, SCIP, CPLEX, GLPK). Bonus: prior exposure to energy markets, trading systems, or real-time optimization environments. 📍 Location Our beautiful office is located in the heart of Södermalm just a short walk from Slussen subway station. We encourage in-office collaboration but support a hybrid work model. ✉️ Apply Our corporate language is English, as we have about 30 nationalities in the office. We therefore appreciate it if you could submit your CV in English. Throughout the recruitment process you will meet with the People & Talent Partner, Head of Predictions and Optimization, VP of Engineering and our CEO.  We look forward to hearing from you! —- We kindly but firmly decline any engagement in recruitment assistance for our hiring processes. This includes partnership offers or the sale of recruitment tools.

Wolt Development Sverige AB

About the Wolt+ Domain Wolt+ is our premium subscription program designed to enhance the convenience and value of the Wolt experience. By offering free delivery and exclusive perks, Wolt+ encourages frequent and loyal usage across our platform. The Wolt+ domain focuses on growing the subscriber base, improving user engagement, and maximizing retention by delivering compelling benefits and a seamless subscription experience. Our work involves optimizing pricing, enhancing the value proposition, and ensuring that Wolt+ meets the needs of customers across diverse markets. As part of this team, you’ll work closely with product, and business & operations teams to uncover insights, measure program performance, and develop data-driven strategies that drive Wolt+ adoption and long-term customer loyalty. What you’ll be doing As a Senior Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. The scope of this role ranges from diagnosing problem areas to identifying solutions to designing experiments and ultimately influencing decision-making. This is a rare, operational, and actionable data-driven experience. When you join this team, you will be driving action from the frontlines, rather than just doing yet another analytics role. Our humble expectations 5+ years of experience in a Data Analytics or Data Science position. Expertise in statistical analysis, including hypothesis testing, experimentation using statistical software packages in Python, R, or equivalent for product development (preferably consumer-facing). Proficiency in writing structured and efficient SQL queries for large data sets. Have prior experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Looker, Tableau, Mixpanel, or similar. What we offer

H & M Hennes & Mauritz GBC AB

Job Description WHAT YOU’LL DO​ As a Senior Data Scientist, you will work hands on to solve complex business and product problems using data and machine learning. You will collaborate closely with cross functional teams and be expected to work pragmatically, navigate ambiguity, and focus on delivering measurable impact. Own and contribute to data science initiatives end to end, from understanding problem statements and exploring data to building, deploying, and maintaining models in production. Design, deploy, and operate LLM‑powered tools and workflows in production, with responsibility for evaluation, monitoring, and continuous improvement Apply statistical methods, machine learning, and advanced analytics to support product and business decisions. Develop, test, and improve models and data‑driven solutions with a strong focus on quality, scalability, and long‑term maintainability. Take responsibility for solutions after deployment, including monitoring, troubleshooting, and iterative improvements. Perform exploratory and ad hoc data analysis, and present insights in a clear and structured way. Communicate closely with stakeholders to translate business needs into analytical approaches and explain outcomes in an accessible manner. Contribute to technical standards, best practices, and knowledge sharing within the data science community. ​ WHO YOU’LL WORK WITH​ You will work in cross‑functional teams together with colleagues in product, engineering, analytics, and business roles. You will also be part of a broader Data Science community, collaborating with other data scientists to share knowledge, align on best practices, and continuously improve how data science is applied across the organisation. ​ ​ WHO YOU ARE​ We are looking for people with…​ ​A Bachelor’s or Master’s degree in Statistics, Engineering, Computer Science, or a related field. Strong theoretical and practical knowledge of statistics and machine learning. Proven experience developing and deploying machine learning models in cloud environments beyond notebook‑based work. Hands‑on experience building and deploying LLM‑based applications, including fine‑tuning, retrieval pipelines, and prompt engineering. Strong proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, LangChain, or similar libraries. Practical experience with MLOps practices, CI/CD pipelines, and model monitoring, ideally in a cloud environment. And people who are…​ Strong in their SQL skills for data manipulation and analysis Familiar with DBT or similar data transformation tools​ Experienced with vector databases and embedding models Excellent communicators and confident taking ownership and accountability Comfortable working in ambiguity while being proactive ​Please note that we will not be able to offer relocation for this role, so we will not be able to proceed with candidates living/working outside of Sweden. 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. ​ We offer all our employee’s attractive benefits with extensive development opportunities around the globe. All our employees receive a 25% staff discount usable on all our H&M Group brands in stores and online. In addition to our staff discount, all our employees are included in our H&M Incentive Program – HIP. You can read more about our H&M Incentive Program here. ​30 days holiday We offer a collective agreement which includes pension and life insurance H&M Incentive Program Wellness benefit 4000kr/year (from Jan 1, 2026) Benify 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.