Are you a talented Data Scientist who is eager to dig into the data here at PostNord, derive insights, and help us perfect our strategy for our future global growth? Do you want to be part of a dynamic and rapidly changing environment at one of the Nordic region largest companies and like working within data analytics with connections to the logistics industry? Then this role is the right job for you!
To fit in this role you have a minimum 3 years of experience as a data scientist and also have competencies in technology- and process areas. We need someone who can balance and understand business needs and we think that you are a driven person that likes to solve problems along the way. You have excellent analytical skills and a firm understanding of data analyses, patterns and continuous improvement. A motivator for you is to work with data and as well as tactical issues on the boundaries between data analyses and operations. As a person you are analytical, structured and communicative, driven by challenges and complex deliveries and you are a very good team player. We are a global company so you also have very good skills in English language both in speech and in writing.
As a person you are curious to learn and evolve and adapt your skills and tools in accordance with needs of the domain and context that you work in. You are also humble for the fact that creating and maintaining great solutions at scale is a team effort and not an initiative of a few superheroes. The uncertainties and varying responsibilities that follow by joining an organisation that is in parallel delivering and growing, defining its mission, vision, methods and architecture, you embrace as a stimulating challenge, and you enjoy the journey and not only the destination.
We are happy to see that you want to develop in the long term in our team where we can give you good development opportunities and a chance to influence PostNord`s IT future!
- Relevant academic education
- Understanding of data mining and machine learning techniques and algorithms
- Experience with common data science toolkits
- Experience with data visualisation tools
- Proficiency in using query languages such as SQL, experience of databases and data warehouses
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- Good scripting and programming skills
- Communicates in English both written and speech
- AzureML studio or any other cloud based Data science kit
- The specific tool PowerBI or BI reporting in general
- ”Data lake”
- Cloud development
- SCRUM / agile methodologies
- Data engineering
Our team is responsible for establishing the future data landscape that will be the foundation for our data driven journey. It is our goal to create scalable solutions to support the development of valuable data solutions and address broad range of data use cases from operations to self-service reporting and analytics, using a tech stack covering traditional data warehousing in a modern setting, as well as emerging cases on real-time analytics based on streaming.
In the role as Data Scientist you will be responsible for analysing operational data, mainly from the parcel domain and in contexts such as international cross border logistics etc. The position includes working closely with the business to identify issues and use data to propose solutions for effective decision making. It also includes building algorithms and designing experiments to merge, manage, interrogate, and extract data to supply tailored reports to colleagues, customers or the wider organization. You will need a collaborative delivery approach to be successful. We prefer to use Agile, and our unit applies a pragmatic approach to SAFe to resolve dependencies and set the pace for development, but we choose the appropriate approach for the product and team. As a data scientist, you will not only write code but also collaborate with solution and enterprise architects, scrum manager and product owner, and line managers to design and define the competencies, processes and technology needed to meet business requirements and architectural strategy. We work towards a vision of MLops and you will be able to have a major to impact on how we get from ad hoc reports and BI to the next level of analytics capabilities!
Our technology is focused on the Azure stack, and examples of some of the existing technical components includes Databricks, Azure Synapse Analytics, Azure DevOps CI/CD, Power BI etc.
We offer you:
- Work in a Nordic and dynamic environment.
- Great occupational pension terms
- Great development opportunities and a continuous learning culture
- Employment in Solna or Copenhagen
- A culture that promotes work life balance
- Generous vacation agreement
- Hybrid workplace with flexible working hours
Welcome with your application!
Selection is ongoing and we want your application as soon as possible. In this recruitment, we collaborate with Randstad Technologies, for questions about the role contact responsible recruitment consultant Julia Rhönnstad, 0729872754, [ Email address blocked ]