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Data Scientist, AI platform

Reads like an AI Engineer role: building products on existing AI models.

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

What you’ll work on

Full posting
  • Build and maintain production AI pipelines from experimentation to monitoring

  • Work with engineers on architecture and implementation in iterative cycles

  • Provide data-driven insights to improve development teams' engineering practices

  • Ensure quality and responsible AI use through evaluation, metrics and governance

  • Explore new tools and opportunities to advance AI capabilities

From the employer’s posting
Build and maintain production AI pipelines from experimentation through deployment and monitoring.
Collaborate with engineers throughout the development cycle - you'll work together on architecture and implementation in an iterative fashion.
Provide data-driven insights that help development teams understand and improve their engineering practices.
Ensure quality and responsible AI use through evaluation, metrics and governance.
Explore new tools and opportunities to push our capabilities forward.

Benefits in the posting

Full benefits wording
  • A health promoting workplace with e.g., wellness allowance and various sports activities.
  • Application
  • We will start interviewing immediately. Please note that we do only accept applications through our recruitment system, hence no email applications will be considered.

From the employer’s posting.

Apply at Nordnet

Posting record

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Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 9, 20264 days ago
Recorded sightings
5
Last seen by us
Nov 13, 2026
Employer says posted
Sep 24, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 4

Similar jobs usually come down between day 4 and day 77.

From 51 similar postings that came down. Coming down is not always a hire.

Nordnet is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Terraform
  • GCP
Where the posting names them
- Experience with LLMs, GenAI and agentic AI. - Python skills for exploration and production code. - SQL proficiency for data analysis and pipeline building.
- Python skills for exploration and production code. - SQL proficiency for data analysis and pipeline building. - Knowledge of ML/AI evaluation, metrics, and best practices.
- Knowledge of MLOps. - Experience with infrastructure as code (terraform). - Ability to present technical work to diverse audiences.
We also get excited if you have: - Experience with ML/AI in cloud environments (Google Cloud experience is a plus). - Knowledge of MLOps.

Your next step

Complete your application on career.nordnetab.com. The employer’s form will show what is required.

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Demand for AI Engineer roles

New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.

Weekly new AI Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 7, the most 65, and the latest week had 65.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under AI Engineer, by the work the posting describes.

AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.

Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.

An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.

Job description

View original posting ↗

Nordnet redefined the financial world as the first digital bank in Europe. Now we are about to do it again - this time by putting AI at the heart of our strategy. We've already deployed internal and customer facing GenAI features, and now we're scaling what works and developing new capabilities. Your mission: Enable the rest of the organisation with the best AI capabilities.

You’ll be a part of our Data & Insights department, working embedded within the AI Platform team. You will work on interesting problems that will have an impact across Nordnet.

What You'll Do

  • Collaborate with engineers throughout the development cycle - you'll work together on architecture and implementation in an iterative fashion.

  • Build and maintain production AI pipelines from experimentation through deployment and monitoring.

  • Provide data-driven insights that help development teams understand and improve their engineering practices.

  • Explore new tools and opportunities to push our capabilities forward.

  • Ensure quality and responsible AI use through evaluation, metrics and governance.

This is you

You are a problem solver who takes pride in your work and is motivated by curiosity - you want to continuously learn and grow.

You likely have:

  • Experience with LLMs, GenAI and agentic AI.

  • Python skills for exploration and production code.

  • SQL proficiency for data analysis and pipeline building.

  • Knowledge of ML/AI evaluation, metrics, and best practices.

We also get excited if you have:

  • Experience with ML/AI in cloud environments (Google Cloud experience is a plus).

  • Knowledge of MLOps.

  • Experience with infrastructure as code (terraform).

  • Ability to present technical work to diverse audiences.

We think that you have 3+ years experience working as a Data Scientist, ML Engineer or AI Engineer with a University degree in data science, computer science, mathematics, engineering or similar field.

If you don't tick every box above but think you'd thrive in this role, we'd still want to hear from you.

What we offer

  • Meaningful technical problems to solve together with talented colleagues.

  • A front-row seat to how AI is reshaping product development - and the chance to impact it.

  • Possibility of a hybrid workplace.

  • A health promoting workplace with e.g., wellness allowance and various sports activities.

  • Competitive salary and compensation.

You'll work in a friendly and engaged environment with a strong focus on innovation, learning, product development and technology.

Our culture is built and cared for, each day by everyone. We believe in a culture where every effort counts and where everyone is being recognized.

We have over 1000 employees in Stockholm, Oslo, Helsinki, Copenhagen and Frankfurt.

Application

We will start interviewing immediately. Please note that we do only accept applications through our recruitment system, hence no email applications will be considered.

If you have questions, please contact Talent Acquisition Partner lovisa.malmberg@nordnet.se

We want to inform you that Nordnet conducts credit and background checks on the final candidate.

We look forward to receiving your application!

Source details

View original posting ↗

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Pay

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Location & working pattern

Stockholm, Sweden, SE

- A front-row seat to how AI is reshaping product development - and the chance to impact it. - Possibility of a hybrid workplace. - A health promoting workplace with e.g., wellness allowance and various sports activities.
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