(Senior) Data Scientist · Aarhus, Denmark

Lunar Denmark; Aarhus; Hybrid; DKK 900,000 - 1,300,000; Full time

Benefits offered by this job

Pension

Health insurance

Enhanced parental leave

Job summary

Lunar Denmark in Aarhus is seeking a Senior Data Scientist to bring data and machine learning into how we prevent fraud, manage risk, and grow the business.

You will design, build, and deploy ML models for fraud detection, transaction monitoring, loan risk, and customer scoring; build experimentation frameworks with MLflow and Metaflow; and partner with data engineers, analysts, and stakeholders to turn insight into decisions.

Qualifications

• 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

Responsibilities

• 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

Skills

ML model deployment

Python

ML libraries

Data analysis

Communication

Tools

MLflow

Metaflow

AWS SageMaker

Kubeflow

TensorFlow

PyTorch

Job description

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 (Senior) 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.

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