Data Scientist

Nordnet Bank AB / Datajobb / Stockholm
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Embark on a journey of data-driven innovation with Nordnet, as we endeavour to redefine the landscape of savings and investments. We are currently seeking to engage a passionate Data Scientist to join our team.

At Nordnet, we're not just data enthusiasts, we strive to be data pioneers. We're devoted to harnessing the transformative potential of data, converting it into actionable insights that influence the trajectory of our product development. In our pursuit of innovation, we are always seeking intellectually curious individuals with a collaborative spirit to assist in decoding the secrets that lie within data.

As a Data Scientist at Nordnet, you will be an integral component of a vibrant team, working in concert with designers, product leads, developers, and data analysts. Our collective efforts are focused on exploring personalization and fostering a culture of experimentation.

Joining our ranks means you'll dive deep into the world of our users and their behaviours. Your superpower will be providing evidence-based guidance for product and design decisions, painting vivid pictures with your insights, stories, and artefacts. We're on a mission to enhance our products and generate substantial business value.

Since 2020, we have been progressively transitioning our backend services to the Google Cloud Platform. This move signifies the creation of our next-generation data and analytics environment, offering you an opportunity to exercise your data expertise to the fullest. Prepare yourself to shape the future of financial products through the leverage of data!

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:

• Around 3+ years experience working as a Data Scientist. Preferably within finance.
• Programming skills in Python.
• Experience of using SQL for analytical purposes.
• Knowledge of data modelling and ETL practices.
• Experience from Machine Learning frameworks.
• Hold a BA degree or equivalent in engineering, computational or technical subject.

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 IT is pivotal for that journey and you will work with colleagues who have a great passion for that goal.

We have 800 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 (http://www.nordnetab.com/), www.nordnet.se (http://www.nordnet.se/),

www.nordnet.no (http://www.nordnet.no/), www.nordnet.dk (http://www.nordnet.dk/) and www.nordnet.fi (http://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.

If you have questions, please contact Talent Acquisition Partner Joachim Öberg at joachim.oberg@nordnet.se.

We want to inform you that Nordnet conducts credit and background checks on the final candidate.

We look forward to receiving your application!

LI-CE1

Ersättning
Lön enligt överenskommelse

Så ansöker du
Sista dag att ansöka är 2024-01-26
Klicka på denna länk för att göra din ansökan

Omfattning
Detta är ett heltidsjobb.

Arbetsgivare
Nordnet Bank AB (org.nr 516406-0021), https://nordnetab.com/

Arbetsplats
Nordnet

Kontakt
Joachim Öberg
joachim.oberg@nordnet.se
0766965072

Jobbnummer
8017311

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