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Open nowPosted 23 days ago

Data scientist - Future career opportunities

nngroup170 open roles

Where
Budapest
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Your applicationOpen nowData scientist - Future career opportunitiesnngroup · Budapest

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

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The clock on this job

Early applications get read.

13.1% of postings close within 7 days. Measured by our own scanner across the market. nngroup postings stay open a median of 12 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.1%7 days
  4. 21.1%14 days
  5. 35.7%30 days
  6. 58.7%60 days
This job: posted 23 days ago

nngroup median: 12 days open

The posting

NN started its operations in Hungary in 1991 under the name Nationale-Nederlanden. In just 6 years, we became market leaders and continue to be a key player in the Hungarian life insurance market. Although we may not have an open Data Scientist position now, we are always interested in connecting with talented professionals who may wish to join NN Hungary in the future. Future Data Scientist roles may involve applying advanced technological solutions to support NN’s business objectives, building predictive and descriptive models, and working with AI technologies.

Responsibilites:

  • Play a key role in the development, deployment and communication of use cases;
  • Recognize and define the business needs and give data science solution for them;
  • Write complex queries in SQL and make data transformations;
  • Play a key role in introducing and adapting the latest AI technologies within the organization;
  • Create predictive and descriptive models, including ML & DL solutions, in order to give useful and valuable insights for business development to achieve company goals;
  • Develop, finetune and evaluate Generative AI applications, including agentic AI solutions for business development and automation purposes;
  • Collaborate with the data engineers and data alaysts in order to produce: accurate reports and data models to support business decisions.

What matters to us:

  • College/University degree preferably in Business, Economics, IT or STEM;
  • 3-5 years of experience in similar positions;
  • Fluent English;
  • Complex knowledge of Machine Learning, Deep Learning and Generative AI
  • Experience in Python coding language and fundamentals of coding standards;
  • Expert-level knowledge of SQL and Power BI;

Potential advantages:

  • Experience in insurrance or financial sector;
  • Java coding knowledge.

What matters to you:

  • Work in an eco-friendly open office built in 2020 and nominated for the "Office of the Year" award;
  • In 2025, NN Insurance received the Top Employer certification for the seventh time;
  • Becoming part of a flexible, supportive and agile team;
  • Regular home office possibility;
  • After probationary period, in addition to basic salary: cafeteria, health insurance, NN group life and accident insurance, and possible annual performance-related bonus;
  • Personal development and support programs;
  • Active Well-being support, health awareness presentations and training;
  • Family-friendly approach, because we put family first;
  • Volunteer weeks, because giving back is important;
  • Active sports life and variety of micro communities.

How to apply:

If you are interested in future Data Scientist opportunities at NN Hungary, we welcome your application through our Career Portal with your CV attached. Please note that this is a general talent-pool advertisement and does not relate to a currently open position. We will review your profile and contact you if a suitable opportunity becomes available.

We are not looking for a new employee, we are looking for YOU!. #NN

At NN, we believe our strength lies in embracing the full spectrum of humanity. We recognize each person's uniqueness and contributions which empowers us to succeed as individuals, as teams, and as a company. Diversity, Equity, and Inclusion is embedded in our culture which is guided by our values — care, clear, commit — and supports us in fostering a workplace where everyone feels welcome, respected, and proud to work.

Be you. You have our support.

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