Data Scientist
Lunar Bank A/S is a Danish 100% digital bank supervised by the Danish Financial Supervisory Authority. It provides personal and business banking products, including accounts, cards, payments, savings, loans, investing and crypto access.
Funding history
Projects
About Lunar Bank A/S
Lunar Bank A/S operates a digital banking platform with no physical branches. Its personal offerings include accounts and digital or physical cards, interest and automatic savings, budgeting tools, joint accounts, travel benefits, loans, stock and ETF investing, and crypto trading through Lunar Block. Lunar Business provides small businesses and entrepreneurs with business accounts, cards, payments, bookkeeping integrations, cash-flow insights and business loans. The bank serves personal customers and small businesses across the Nordic region.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design, build, and deploy machine learning and statistical models for fraud detection, transaction monitoring, loan risk assessment, customer risk scoring, and sales and lead generation. You will build experimentation frameworks, analyze data, engineer features, collaborate with stakeholders, document your work, and apply advances in machine learning and generative AI.
Requirements
- Experience developing and deploying machine learning models in production
- Proficiency in Python and relevant machine learning libraries such as scikit-learn TensorFlow and PyTorch
- Experience with cloud-based machine learning platforms such as AWS SageMaker or Kubeflow
- Strong grounding in machine learning statistical modeling and data analysis
- Experience in financial services or another regulated industry is a plus
- Strong problem-solving and communication skills
Responsibilities
- Design build and deploy machine learning and statistical models
- Build and operate experimentation and evaluation frameworks
- Analyze data and engineer features to improve model performance
- Define requirements with data engineers analysts and business stakeholders
- Translate technical insights into business decisions
- Document models methodologies and results
- Apply machine learning and generative AI advances
Benefits
- State-of-the-art computer monitor mouse and keyboard
- Pension
- Health insurance
- Enhanced parental leave