
Celsus Engineering AB · Stockholm
In this role, you will work with our customers on various data engineering projects. This role is perfect for those with a good foundation in data engineering, ...
In this role, you will work with our customers on various data engineering projects. This role
is perfect for those with a good foundation in data engineering, and a passion for operational
excellence in data management and analytics. You will design, build, and maintain efficient,
scalable data pipelines and work closely with data scientists, analysts, and stakeholders to
deliver customized data solutions that drive impactful business decisions.
Develop and manage scalable data pipelines, ensuring efficient and reliable data flows.
Implement processes and solutions to improve data quality, accuracy, and consistency.
Create scripts and tools to automate repetitive tasks, improving efficiency and reducing manual work.
Build and maintain data integrations, including file, messaging, and API-based systems.
Develop data models tailored to meet business requirements.
Contribute to implementing infrastructure as code solutions.
Collaborate with data scientists, architects, and software developers to support the
creation of data architecture and governance models.
Enhance the performance of existing data pipelines, optimizing queries and indexing for faster data retrieval.
Implement security measures to protect data from unauthorized access.
Ensure compliance with data governance policies and regulatory requirements, maintaining documentation and data lineage.
Monitor cost efficiency and identify areas for optimization.
You are passionate about building data products and enabling data-driven decisions.
You enjoy sharing knowledge and learning new things in the data, analytics & AI area.
You want to develop and maintain robust, scalable data and analytics systems.
You have the ability to work both independently and collaboratively within a team environment.
Fluent in English both written and verbal.
You are eager to learn and have a basic understanding of working with data sets
You are gaining experience with ETL workflows and excited to improve your skills in
streamlining these processes.
You have a foundational knowledge of big data concepts, cloud technologies, and data modeling.
Your skills in SQL and Python are strong, with a focus on writing efficient queries.
You are gaining hands-on experience with cloud platforms like AWS, Azure, or Google
Cloud and are keen to expand your knowledge.
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 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. WHO YOU’LL WORK WITH 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. WHO YOU ARE 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 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 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 HERE 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 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. 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.
Job Description WHAT YOU’LL DO Do what you love and help us drive change! As a Data Scientist at H&M, you’ll turn vast amounts of data into meaningful insights and solutions that make an impact on a global scale. You’ll collaborate closely with business and tech teams to solve complex problems using advanced analytics, modelling, and machine learning. 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 machine learning products that scale globally Help colleagues and stakeholders understand algorithms and decisions made by AI systems 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 building H&M’s AI ecosystem WHO YOU’LL WORK WITH You’ll join a collaborative, cross-functional team of highly skilled engineers, data scientists and business stakeholders. Together, you’ll build innovative AI solutions that support H&M’s transformation and create value for millions of customers worldwide. WHO YOU ARE 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 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 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 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 HERE 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 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. 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.
Nordnet is redefining the landscape of savings and investments, guiding over 2.4 million customers in their financial lives. We have spent the last years building a modern data platform and fostering a culture where actionable insights and rapid product refinement are part of our DNA. In our fast-paced environment, this remains a competitive edge - allowing us to ship, learn, and iterate faster than the market Now we are seeking to engage a passionate Data Analyst to join our team. As a Data Analyst at Nordnet, you will be a part of Data & Insights, where you have the opportunity to work alongside Data analysts, Data Scientists, Analytics Engineers and Data Engineers. You will be embedded in our Product development teams, where you will be an integral component, working with designers, product leads and developers. You will deep-dive into our users and our products, and turn data into actionable insights. Our efforts are focused on continuous improvements, experimentation and engaging our customers. We would love it if you feel excited about at least some of these statements. Going beyond a simple questions, defining a problem and understanding the right analytical approach Conduct statistical analyses on our customer -, financial -, and company data to identify patterns of behaviour Design experiments to evaluate various hypotheses and design choices Utilize AI and advanced modeling to scale your impact Craft and present compelling stories that will impact our decision makers Help improve our existing methodologies This is you You are passionate about data and learning new things, and you want to contribute with your experience and ideas. In your work, you are organised, methodical and agile in a way that benefits the team’s working climate and ability to deliver solutions. To thrive in this role, we believe that most of these criteria describes you: Proactive person with self-drive and strong sense of ownership A strong communicator with the ability to engage both technical and non-technical stakeholders Experience of using SQL, Python, R and dbt Hands-on experience with A/B testing Degree in economics, data science, statistics, engineering, mathematics, or similar We think that you have 3+ years experience working as a Data Analyst at a product oriented organisation. We offer Nordnet started from a passionate belief that changing the hierarchical financial world was possible. We became part of redefining the industry when we gave the customers power over their own savings. You will become part of a journey that has only yet started towards the vision of making our customers the best investors they can be. To be leading in Tech is pivotal for that journey and you will work with colleagues who have a great passion for that goal. We have 900+ employees in Stockholm, Oslo, Helsinki and Copenhagen. We cooperate, exchange ideas and use our core competencies in order to continuously improve the way we meet our customers. Open communication, creativity and engagement are important parts of our everyday life at the office. Visit us on www.nordnetab.com,www.nordnet.se, www.nordnet.no, www.nordnet.dk and www.nordnet.fi. Application We will start interviewing immediately. Please note that we do only accept applications through our recruitment system, hence no email applications will be considered. We want to inform you that Nordnet conducts credit and background checks on the final candidate. We look forward to receiving your application!