Data Scientist
Lunar · Aarhus, DK ·
- Work mode
- Hybrid
- Category
- Data science
- Company size
- 501-1000
Lunar · Aarhus, DK ·
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Lifelancer
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aebad3d9-4fa5-4393-8afb-3a6af61641d2:19000101_000001 · Norwalk, CT, US
The Data Scientist will design, build, and deploy machine learning models for fraud detection, risk assessment, and business growth at a Nordic challenger bank. The role involves working with Python, cloud-based ML platforms, and experimentation frameworks to integrate AI into financial products.
Banking hasn't changed much in decades. We're changing that. One product at a time.
Lunar is a Nordic challenger bank building the future of financial life with AI at the core. Our engineers, designers, and product people work on problems that actually matter. Making money simpler, smarter, and more rewarding for millions of people across the Nordics.
Fully licensed and founded in 2015, with offices in Copenhagen, Aarhus and Stockholm.
We move fast, we build with purpose, and we're just getting started.
As our new Data Scientist you'll join our team based in Aarhus, reporting to Eugene, our Senior Engineering Manager, working to bring data and machine learning into how we prevent fraud, manage risk, and grow the business.
What will you do?
Design, build, and deploy machine learning and statistical models across fraud detection, transaction monitoring, loan risk assessment, customer risk scoring, and sales and lead generation
Build and operate experimentation and evaluation frameworks — using tools like MLflow and Metaflow — with strong test sets and benchmarks across projects
Dive into data analysis and feature engineering to keep pushing model performance further
Partner closely with data engineers, analysts, and business stakeholders to define requirements and turn insight into decisions
Document models, methodologies, and results clearly, and bring the latest ML and GenAI advances into how Lunar builds
What are we looking for in you?
Experience developing and deploying machine learning models in a production environment
Proficiency in Python and relevant ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
Experience with cloud-based ML platforms such as AWS SageMaker or Kubeflow
Solid grounding in machine learning, statistical modeling, and data analysis techniques — experience in financial services or another regulated industry is a plus
Strong problem-solving and communication skills, with the ability to translate technical concepts into business insight
Benefits and perks
4 days in the office. We're a team that builds together, thinks together, and moves together. Showing up is part of how we work.
State of the art equipment. The newest computer, monitor, mouse, and keyboard. We want you to do your best work without anything slowing you down.
Pension, health insurance, and enhanced parental leave. From your financial future to your family moments. We've got you covered.
Are you ready to join the journey? Apply now and let's find out more!
While you hold on tight for us to get back to you, curious to see what we’re up to? Follow us on LinkedIn for business announcements and releases 📢, check out our Instagram for an inside scoop on what it’s like to work here .
Depending on the regulations in the country where you will be employed, we will ask to see or obtain information about your criminal record. Please note that our employment is conditional upon you not being registered in RKI (Ribers Kredit Information).
We welcome applications from candidates of all backgrounds. If you need any adjustments during the recruitment process, please let us know
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