Ormit Talent | Transformation Program with NN Insurance
Quick Summary
contribute to improvement. You take on a concrete improvement challenge in your first department, and get to grips with how NN actually works: the priorities, the stakeholders, the pain points,
For most people it's something you deal with once or twice in a lifetime, a contract you sign and forget.
But that's changing fast. People now expect insurance to be as smart, digital and personal as everything else in their lives. The insurance sector has some catching up to do, and NN won't pretend otherwise. But they're ready to make that change: NN is transforming how insurance works, using data, AI and a better customer experience to move from a contract you forget to something that actually helps when it matters.
And that's where you come in. Young talent that isn't afraid to shake things up.
Sounds a little sexier already, doesn't it? Keep reading, there's more.
NN has a lot to change, and not enough people who can make it happen. With a clear ambition to grow into a top-five player, they need a new generation of hands-on changemakers: people who make NN's processes simpler, faster and smarter, while taking others along in the change.
So we partnered up and designed a traineeship that develops exactly that: young talent with a transversal view of the organisation, who learn to spot inefficiencies and turn them into tangible improvements across departments.
Here's how.
Responsibilities
~1 min read- →
Nice to Have
~1 min readYou want to become a deep data or AI expert. This is a business-and-change role, not a deep technical one.
You need everything defined and stable. Big organisations are messy, and you'll be untangling before you build.
You want fast results without the patience a large company demands.
You think you're done learning. This is a development track, feedback and growth are the whole point
Location & Eligibility
Listing Details
- First seen
- September 25, 2026
- Last seen
- October 6, 2026
Posting Health
- Days active
- 10
- Repost count
- 0
- Trust Level
- 33%
- Scored at
- October 6, 2026
Signal breakdown
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