Back to jobs

Data Scientist

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 deployment and monitoring

  • Work with engineers on architecture and implementation in an iterative way

  • Drive quality through evaluation, metrics, and testing of AI solutions

  • Ensure AI compliance with the bank's regulatory framework by explaining AI concepts and risks

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.
Drive quality through evaluation, metrics, and testing of AI solutions.
Champion AI Governance - Ensure compliance with the bank's regulatory framework by clarifying AI concepts and risks
Apply at Nordnet

Posting record

Report an error

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
Oct 16, 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

Early. Similar jobs usually come down between day 8 and day 60.

From 11,783 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
  • GCP
Where the posting names them
- Experience with LLMs, GenAI and agentic AI - Python skills for both exploration and production code. - SQL proficiency for data analysis and pipeline building.
- Python skills for both exploration and production code. - SQL proficiency for data analysis and pipeline building. - Knowledge of ML/AI evaluation, metrics, and best practices.
The Setup You'll be working in a full-stack team with different competencies and together tackle the full lifecycle—from exploring possibilities to deploying production features. Our technical foundation is Google Cloud Platform, where we've deployed internal and customer facing GenAI features. Now we're scaling what works and developing new capabilities. This is not a theoretical role; you're a builder and problem-solver who thrives on iteration. You'll report to our Data Science Manager while working daily with developers, analysts and designers.
- Knowledge of ML/AI evaluation, metrics, and best practices. - Experience with ML/AI in cloud environments (GCP experience is a plus). We also get excited if you have:

Your next step

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

Applying through Teamtailor

  • No account needed.

Already applied? Track this application

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,403, the most 2,949, and the latest week had 2,098.
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 Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

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. You'll embark on a challenging journey alongside skillful teams of sharp and committed colleagues.

We're searching for a Data Scientist to join Nordnet's AIR (AI & Research) function, working embedded within one of our cross-functional teams. Your mission: Bring the best possible AI capabilities to life as robust solutions, both internally and for our customers.

The Setup

You'll be working in a full-stack team with different competencies and together tackle the full lifecycle—from exploring possibilities to deploying production features. Our technical foundation is Google Cloud Platform, where we've deployed internal and customer facing GenAI features. Now we're scaling what works and developing new capabilities.

This is not a theoretical role; you're a builder and problem-solver who thrives on iteration. You'll report to our Data Science Manager while working daily with developers, analysts and designers.

What You'll Do

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.

Drive quality through evaluation, metrics, and testing of AI solutions.

Champion AI Governance - Ensure compliance with the bank's regulatory framework by clarifying AI concepts and risks

This is you

You take pride in your work and are driven by curiosity—you want to continuously learn and grow.

You likely have:

  • Experience with LLMs, GenAI and agentic AI

  • Python skills for both exploration and production code.

  • SQL proficiency for data analysis and pipeline building.

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

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

We also get excited if you have:

  • Experience working embedded.

  • Comfort presenting technical work to diverse audiences.

  • Interest in finance, investing, or personal finance.

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.

We offer

  • Work in a product-focused environment with direct impact

  • Growth opportunities as a data scientist in a fast-moving AI space

  • Competitive salary and compensation

You'll work in a Nordic environment with high ambitions and a strong focus on delivery, product development, and technology.

Culture is built and cared for, each day by everyone. We're proud of ours. Having a flat organization where anyone can talk to anyone creates a warm and friendly atmosphere worth protecting. We believe in a culture where every effort counts and where everyone is recognized—a culture embracing our core values of passion, simplicity, and transparency on all levels, no matter who you are or what you do.

We are over 900 employees in Stockholm, Oslo, Helsinki, Copenhagen and Frankfurt.

Visit us on www.nordnetab.com, www.nordnet.se, www.nordnet.no, www.nordnet.dk and www.nordnet.fi.

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 as well as a drug test on the final candidate.

We look forward to receiving your application!

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Stockholm, Sweden, SE

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.