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Job Opportunity as Data Scientist at SJ AB
Experis ABStockholms lÀn, Stockholm
13 days left
to apply for the job
About SJ AB
SJ is a Swedish travel company that offers sustainable train journeys in-house and in collaboration with others. SJ is one of Sweden's greenest brands and part of the solution to achieve climate goals. The group's over 6,600 employees in Sweden and Norway all contribute to increased train travel - SJ moving Sweden forward.
Be part of driving innovation and unleashing the power of SJ's data! Through traditional BI, advanced analytics, machine learning, and AI, you can create significant business value and shape the future for SJ.
We are looking for someone who is passionate about transforming data into insights and opportunities. Here, you will have the chance to shape the future as part of our journey towards becoming even more data-driven. You will explore, identify, and unleash the potential in SJ's data across the entire organization using traditional BI, advanced analytics, machine learning, and AI. The role is key in creating value and innovation that truly makes a difference - both for SJ and our customers.
SJ's overall goal is to contribute to Scandinavia's growth and climate goals by delivering 50% more trips by 2030. To realize this growth journey, we are making historic investments of 19 billion in new high-speed trains, new regional trains, and upgrades to our existing vehicle fleet.
As an important part of our exciting journey, we are also focusing on our ability to create value through the use of data and analytics. The Data & Analytics unit was established in 2023 and is now scaling up its capabilities to deliver broadly across the group. This capability is crucial to future-proof the business and maximize the benefits from larger investments, not only on the vehicle side but also in new IT systems for booking and sales systems, workforce planning, operational traffic management, and intelligent vehicle maintenance.
Your future role
As a Data Scientist, you will be a central part of our newly formed Data & Analytics team. Here, you will have the opportunity to develop in a role where you will:
- Drive exciting projects from the idea stage to a finished solution, with a direct impact on the company's success
- Work with the entire data management process, including collection, preparation, modeling, and visualization of data
- Implement innovative solutions in production environments and handle large amounts of data to discover valuable insights
- Communicate your findings to various stakeholders and help transform technical insights into concrete business strategies
- Explore and experiment with modern technology to improve our processes. You will balance rapid experimental development with creating structured and maintainable code for production
The Data & Analytics unit is part of the Finance function and works together with the IT division, as well as closely with Strategy & Business Development and Business Control, both of which are within Finance.
Expectations for the ideal candidate
- An academic degree in computer science, statistics, mathematics, physics, or a similar field
- Strong programming skills in Python and SQL
- Experience with cloud-based environments; knowledge of Azure Databricks is a big plus
- Understanding of agile working methods and modern development principles like DevOps and CI/CD
- An analytical and curious nature, with a passion for solving complex problems
- Excellent communication skills and the ability to make technical concepts understandable to non-technical stakeholders
- Very good knowledge of Swedish, both spoken and written
- Experience with predictive maintenance is a plus
Application and information
Selection is ongoing, so submit your application as soon as possible, but no later than January 23, 2025.
In this recruitment, SJ is collaborating with Jefferson Wells and Experis. For questions, feel free to contact the responsible recruitment consultants Malin Magnusson, 076-7806864, [email protected], and Anki Snis, 0703-775969, [email protected].
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