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From 11,783 similar postings that came down. Coming down is not always a hire.
Stockholm, Sweden, SE
Actively hiring, first seen by us 4 days agoEmployment type in the employer’s posting: FULL_TIMEFrom the employer’s 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
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
Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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.
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd 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.
- 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:
Complete your application on career.nordnetab.com. The employer’s form will show what is required.
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New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
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.
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.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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!
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Stockholm, Sweden, SE
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