Data Scientist

At Vattenfall, we don’t just “do energy”, we exist to help our customers power their lives in ever climate smarter ways free from fossil fuel within one generation. If you are looking for interesting challenges and the opportunity to be part of this change, then join our diverse and talented team and make a difference!
The future is data-driven! Do you agree and want to be part of accelerating Vattenfall’s digital transformation in thearea of energy markets? Then we have just the right position for you! We are looking for a Data Scientist for our office in Stockholm to join our Data Science team.


Your Job as Data Scientist
As a Data Scientist you will work in a team that uses agile scrum and is end-to-end responsible for automated
Machine Learning models. You will typically specialize in the modelling part of the ML value chain and your work will
have direct and measurable business impact. In this role you will have a great chance to impact the direction of
Vattenfall’s and BA Markets’ digital transformation.


What you’ll do:
• MODELS: Develop Machine Learning models for energy market use-cases by choosing a suitable level of
method complexity, also make sure the models run operationally
• COOP: Collaborate with stakeholders and subject matter experts to make sure our models and processes
are up-to-date and are fulfilling business needs
• ML OPS: Co-develop a framework for professional operations of ML models by enabling structured
development, monitoring and deployment of models
• DATA: Make sure that our data is available in an ML-ready format and that we are choosing the right
infrastructure design when it comes to the interplay between data and models


Your Profile as Data Scientist
• Academic degree in data science, computer science, engineering, mathematics, or similar
• Professional experience in applying Machine Learning methods on real business use-cases
• Proficient programming skills, preferably in Python
• Strong communication skills and the willingness to interact with colleagues, stakeholders and other datadriven departments
• Understanding of the operational work associated with running ML models in live production
• A data oriented mindset, with knowledge about tools like Azure, Databricks, Spark and Kafka
• Fluency in English; Swedish, German or Dutch language skills are an advantage
We are convinced that diversity contributes to building a more profitable and attractive company. We work actively for all employees to have the same opportunities and rights regardless of age, religion, gender identity & expression, sexual identity, disability, religion, and ethnic background.


Our Organization
Within Vattenfall, Business Area (BA) Markets optimizes assets and effectively sources and trades commodities, thus ensuring best value for both Vattenfall and our customers. BA Markets is active across Europe with around 450 professionals working from Sweden, Germany, the Netherlands, and the UK.
In BA Markets the mission of the Unit OU Operations is to drive the digital transformation. OU Operations consists of diverse and highly skilled employees from more than 20 countries. We work internationally from our locations in Stockholm, Hamburg and Amsterdam.
The Data Science team is a team of analysts whose purpose is to drive data-driven decision automation. By combining data engineering and machine learning methods, the team strives to leverage the vast data Vattenfall has access to.


Location: The location of this position is Stockholm.
Contract type: Permanent
Last day to apply June 14th 2022.


More Information
For more information about the position or the recruitment process you are welcome to contact the responsible recruiter Carina Böhle via phone at +49 40 79022 1623.
In Sweden, the union representatives are Sven-Gunnar Gremlin (Akademikerna) and Jens Morell (Unionen). To get in contact with the representatives, please call Vattenfall´s switchboard +46 8 739 50 00.
Due to GDPR regulations, we kindly request that you only apply via our website. We cannot guarantee that we will be able to process applications that are not made via our website.


We look forward to receiving your application!
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