Job description
Do you want to contribute to the energy transition and a sustainable world? And does developing data driven Business solutions give you energy? Then join our Data & Analytics team as a Data Scientist!
Job description
As a Data Scientist you will develop data science solutions with a strong impact on Vattenfall Business to Consumer (BtC) ambitions regarding both purpose and profitability. This is also reflected in our Data Strategy mission “A sustainable step ahead through data!”
The Data & Analytics team is responsible for the development of data driven solutions for marketing & sales, customer journeys, service and digitization, proposition development and sustainability advice to our customers.
Solving complex business challenges using data and machine learning will be the core of your work. From the first idea, thinking of possible solutions and methods. Through the actual model development using a diverse amount of data sources on our Vattenfall Analytics Platform. To implementing a data science solution so it can be used in either our channels or internal systems.
Throughout the data science workflow you remain in close collaboration with our internal stakeholders to make sure your solutions match their needs.
So as a data scientist you will…
- Develop data science solutions from idea to implementation
- Contribute to complex business challenges in one of the 3 business domains
- Develop yourself and your co Data Scientists through the Data Science chapter
Where will you work?
The Vattenfall BTC Data & Analytics department develops data driven solutions for our customers and customer processes. We do this by creating and implementing machine learning models, strategic analysis, reporting and a self-service data model.
The department is spread out in 3 business domain teams; where data experts and business experts collaborate closely to realize valuable data solutions. Each Data & Analytics domain team consists of an Analytics Translator, Analytics engineers and Data Scientists, and is supported by Data- & ML Engineers from IT.
We value joint development of ways of working and best practices. This is facilitated in our data science chapter and data foundation chapter.
About you
- You have an academic degree with a strong quantitative component (Computer Science, Artificial Intelligence, Econometrics, or similar)
- At least 2-5 years of professional experience in a data scientist role
- You have excellent verbal and written communication skills; in English (and Dutch preferred)
- Working experience in an agile environment is preferred
- Writing production worthy Python code
- Extensive knowledge of a variety of machine learning techniques and know how to apply them in the real world
- Working with large and complex data sets
- Experience with Git, VS code and Azure ML or similar tooling
Our offer
We offer attractive employment conditions and opportunities for personal and professional development. You will work in a modern, dynamic and open work environment that offers plenty of space for personal initiative. Vattenfall has a close-knit team culture in which maintaining a good work-life balance is seen as really important. The location for this role is Amsterdam where hybrid working is the norm.
Our organization
Vattenfall is a dynamic company with an international focus and a social face at the heart of society. We are one of the European market leaders in the generation of renewable energy and are primarily active in Sweden, Germany, Denmark, UK and the Netherlands. We take our responsibility seriously and together we are making the change towards fossil freedom. In order to live fossil-free in the future, we think outside of the box and are investing billions in wind and solar farms. By working for Vattenfall, you contribute to the energy transition and a sustainable world.
More information
Does this position sound interesting to you? We look forward to receiving your application, before Monday 23rd of May. Please be aware that a pre-employment screening is applicable to the recruitment process as well as an assessment. For questions about the position and/or the recruitment process, please contact Stijn van der Kleij, Corporate Recruiter, [email protected]
