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Data Scientist, AI platform

Nordnet Bank AB · Stockholm

posted 4h ago, verified live

Key factors at a glance

Seniority
Mid
Experience
3+ years
Work mode
—
Salary
Not stated
Required working language
English

Must-haves

  • Experience with LLMs
  • Python skills
  • SQL proficiency
  • Knowledge of ML/AI evaluation
  • Experience with ML/AI in cloud environments
  • Knowledge of MLOps
  • Experience with IaC

Nice-to-haves

  • Experience working embedded
  • Experience with Go and/or Java
  • Comfort presenting technical work
PythonJavaGoSQLLLMsGoogle CloudTerraform

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Company hiring signal

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Original posting

English

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, and you'll embark on a challenging journey alongside a skillful team of sharp and committed colleagues. We're searching for a Data Scientist to join Nordnet's AIR (AI & Research) function, working embedded within the AI Platform team. Your mission: Enable the rest of the organisation with the best possible AI capabilities. The Setup You'll be working alongside platform engineers to 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 the AI platform team. 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). Knowledge of MLOps Experience with IaC (terraform). We also get excited if you have: Experience working embedded. Experience with Go and/or Java. Comfort presenting 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. 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 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!

Shown in its original English. To apply, continue to the company's own page.