Do you love building AI solutions using the latest technology and tooling to make services better, faster, and easier for customers and colleagues? Then this job is for you! We are looking for enthusiastic data scientists to strengthen the AI domain within the Life & Pension business unit of NN.

What you are going to do

With your solution-oriented and proactive mindset, you can identify new opportunities to translate business challenges into data science solutions. With your knowledge of Python, statistics, machine learning, and LLMs, you can transform any data source into insights for our internal clients.

Specifically, you bring new AI solutions into production so that your solutions create real value for our company of tomorrow. You use state-of-the-art techniques such as AI as a service and LLMs, Cognitive Services, and OpenAI. You understand how to help your business colleagues translate their needs into AI solutions, and you enjoy working with them to help with the adoption of AI. Additionally, you are the first point of contact to further improve models in production and ensure they continue to add value.

If you enjoy diving into the latest AI trends to improve our business processes and services, then this job is for you.

What we offer you

NN invests in an inclusive, inspiring work environment and in skills and competences for the future. We match this with employee benefits that are in line with what is needed today and in the future. This way, we offer our employees the opportunity to get the best out of themselves. We offer you:

• Salary between € 3.400 –  € 6.000 depending on your knowledge and experience
• 13th month and holiday allowance are paid with your monthly salary
• 27 vacation days for a 5-day working week and one Diversity Day
• A modern pension administered by BeFrank
• Plenty of training and learning opportunities
• NS Business Card 2nd class, which gives you unlimited travel, also privately. Do you prefer to travel with your own transport? Then you can declare the kilometres travelled
• Allowances for setting up your home office and for internet use

Who you are

You are naturally curious and have a passion for innovation and improvement in the field of data. You have analytical insight and know how to creatively shape data science issues in a sound way. Your open attitude and strong communication skills help to create a strong product within the team of data scientists and in communication with the client. Additionally, you have:

• a master's degree in Data Science, Econometrics, Computer Science, or a similar field
• practical experience in developing ML applications in Python, in all phases of the data science process, such as data collection, cleaning, model evaluation, and model implementation
• experience with (Azure) CI/CD tools, Git, SQL
• knowledge and experience in the domains of Marketing, DC chain, Services (Life & Pension), In-collection, or ORV chain within a Life & Pension organization is a plus
• above all, you enjoy developing the above points further on the job

Who you will work with

The team that you will work with on a daily basis will be one of the teams that work in our business on a specific domain. Additionally, you are part of a broader Data & AI department with colleagues from data management, data visualization, and advanced analytics & AI. This department also includes other data scientists, as well as ML engineers who help deploy AI solutions in production. We work agile with colleagues within NN Life & Pension, from operational to strategic levels.

Within the department, we help each other by utilizing each other's expertise, thinking along with our customers, and ensuring that data products are created and maintained according to quality standards. We actively keep up with new technological developments and keep a close eye on them. You will have a lot of freedom to manage your time independently, making the work never boring or stagnant.

Additionally, you are a member of the NN-wide data science guild where about 50 data scientists meet each other. Here, you exchange knowledge and experiences with peers. We believe that every data scientist can learn something from colleagues and vice versa, which accelerates your career and maximizes the value of our AI solutions.

Any questions?

Any questions about the process can be directed to Ties Herpers, via, ties.herpers@nn-group.com.