Magnet.me  -  Het slimme netwerk waarop hbo‑ en wo‑studenten hun baan of stage vinden.

Het slimme netwerk waarop hbo‑ en wo‑studenten hun baan of stage vinden.

Deze vacature is verlopen. Je kunt daarom niet meer liken of solliciteren.

Vergelijkbare vacatures bekijken

Data Science Thesis Intern

Geplaatst 25 mrt. 2024
Werkervaring
0 tot 1 jaar
Full-time / part-time
Full-time
Functie
Soort opleiding
Taalvereiste
Engels (Vloeiend)

Je carrière begint op Magnet.me

Maak een profiel aan en ontvang slimme aanbevelingen op basis van je gelikete vacatures.

Imagine…

You enable Rabobank to understand the new era of Artificial Intelligence and Machine Learning. As a Data Science Thesis Intern, you will be joining the Advanced Analytics team, leading the innovation in Rabobank and beyond.

Making a difference

As an intern, you will:

· Become an expert on applying machine learning and artificial intelligence on text documents. You are open and eager to continuously expand your knowledge by connecting to internal stakeholders and external experts;

· Understand business challenges and able to translate their needs to a data scientist perspective. You will perform business interviews and workshops to get an understanding about the needs, translate the requirements into a project and ensure the end result will be delivered;

· Present the latest machine learning algorithms, and the results of your modelling efforts in an understandable way to the business;

· Contribute to the connection within the data scientist community of Rabobank.

With each other

Collaboration is at the heart of everything we do. Advanced Analytics connects data scientists across Rabobank and our subsidiaries to solve business challenges with new and innovative ways of working. We make risk models based on machine learning and artificial intelligence for various business purposes. We are continuously looking to broaden our knowledge and look beyond the beaten path. We dare to challenge and are committed to contribute to a better Rabobank. Advanced Analytics is a young team within the Risk domain that brings talented people together to build on the core of Rabobank.

With you

as a Data Science Thesis Intern, the team will consist of twelve diverse colleagues.

We are looking for enthusiastic colleagues who are willing to think outside of the box and are inspired by driving change. Definitely consider applying if you recognize yourself in the following skills:

· You have strong analytical skills, are able to understand and challenge complex processes and can quickly analyse key messages from documents and discussions;

· You are enrolled in a relevant Master’s degree: Mathematics, Data Science, Artificial Intelligence, Computer Science or related;

· You have demonstrable programming experience in Python and are familiar with SQL and Git;

· You have experience with Natural Language Processing (NLP) and Neural Networks (experience with TensorFlow is preferable, but no must);

· You operate as a self-starter, you work independently and you pro-actively look for solutions. You are not set back by internal and/or external guidelines;

· You are prepared to be challenged by our team and other stakeholders. In return, we expect you to do the same. You show style flexibility to adjust to different situations to reach your goals;

· You love to connect and are able to create and maintain a network across Rabobank and with relevant external parties;

· You are fluently proficient in English (speaking, listening and writing);

· You are available for a period of at least 6 months.

Growing a better world together

You'll already be aware that Rabobank is a financial services provider for 7.1 million customers in 40 countries. But did you know that we aim to contribute to real change with our 'Growing a better world together' mission? Within Advanced Analytics we are continuously looking for opportunities to be involved in our community as well as to grow a better world together with help of our data science capabilities.

Rabobank is a cooperative bank with a mission. Together with our stakeholders, we have been dedicated to creating a future-proof society and tackling major societal challenges for 125 years. In the Netherlands, we serve retail and corporate clients; globally we focus on the food and agriculture sector. Our starting point is: together we can achieve more than we could individually.

Financieel & Banken
Utrecht
Actief in 37 landen
43.000 medewerkers
70% mannen - 30% vrouwen
Gemiddeld 31 jaar oud

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