Graduate to Digital Analytics & Data Science

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Job ID 15212
Graduate to Digital Analytics & Data Science – Denmark, Sweden
#AccelerateYourCareer #GraduateProgramme #GrowWithUs #Analytics #DataScience #AI

Do you want to be part of Nordea’s forefront for Digital Analytics and Data Science, where one of our key priorities is to create great omni-channel customer experiences?
We are now looking for a graduate to Applied Data Science, where you’ll be part of enabling Nordea to become customer centric and data-driven by advising & empowering stakeholders with platforms, tools, insights, analytics and solutions to help accomplish the mission of being a strong and personal financial partner.
The graduate programme is designed to kickstart your career. The programme is for 2 years and you’ll have rotations during that time with clear learning objectives to support your growth. You’ll be connected to several people, that will give you sparring, guidance and support throughout the whole programme. You’ll also be offered mentoring, to ensure your personal and professional growth. We believe that we are fundamentally better together, and we believe in empowering all of our employees with challenging tasks. As a Graduate, your voice will be heard and challenging the status quo is encouraged. When it comes to your tasks, you'll take a deep dive into important value adding projects and assignments from day one.
About this opportunity
Would you like to join Nordea’s Centre of Excellence for Digital Analytics & Data Science? If yes, then welcome to Applied Data Science, where we are looking for a Graduate that is passionate about working with data in different domains.
We share the common passion to work with massive amount of data and deliver complex analyses and solutions, contributing towards Nordea’s digital transformation journey. You’ll take part in the digital revolution by giving us the possibility to connect even more with our customers’ needs and build the tools to enable dreams and aspirations. We support functions across Nordea in creating and enabling data driven decision-making to create great customer experiences and solve exciting business problems.
As a graduate in Applied Data Science, during the length of the programme you will rotate between our different units based on your personal development plans, where learning and growth define which task and projects you’ll be responsible for or participate in within the following domains:

You will take an active role in:
You will be collaborating with skilled international teams in a motivating Agile environment and play a part in creating a data-driven future – through innovative enterprise level solutions and collaboration. How does a great day for us look? Applying analytics to solve day-to-day banking problems using the latest technologies, big data, math & statistics.
Who you are
Collaboration. Ownership. Passion. Courage. These are the values that guide us in being at our best – and that we imagine you share with us.
To succeed in this role, we believe that you:
To be a qualified candidate for the Graduate positions, you have:
If this sounds like you, lets get in touch!

Next steps
Submit your application including CV, cover letter and academic transcripts no later than 20/02/2023. If you have any questions, don’t hesitate to contact Rexhep Haliti, [email protected].
At Nordea, we know that an inclusive workplace is a sustainable workplace. We deeply believe that our diverse backgrounds, experiences, characteristics and traits make us better at serving customers and communities. So please come as you are.
Please be aware that any applications or CVs coming through email or direct messages will not be accepted or considered.


Information og data

Denne ledige stilling har jobtypen "Øvrige", og befinder sig i kategorien "Øvrige stillinger".

Jobbet er oprettet på vores service den 19.1.2023, men kan have været deaktiveret og genaktiveret igen.

Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
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