Senior Data Scientist

Ready to revolutionize the world of banking with cutting-edge machine learning and GenAI? Do you dream of working in a dynamic fintech company where your efforts make a real impact?

At Lunar, we are democratizing the power of money and changing the way we all bank, pay, and invest. Since starting in Aarhus in 2015, we've grown rapidly and are now a major player in the Nordics, with offices in Copenhagen, Aarhus, and Stockholm.

So who are we? Are we a tech company or a bank? Well, we're both, breaking free from the usual categories. Here, tech isn't just a cool add-on; it's the core of how we do things. With our own banking license, we go head-to-head with traditional banks. What sets us apart is the mix of tech and financial services, giving us the power to shake up a dusty industry that's ready for a change.

As we continue our journey to becoming the best everyday bank in the Nordics, we're seeking a Senior Data Scientist to be a key driver in leveraging data and machine learning to optimize our operations, enhance customer experience, and mitigate risks. You'll develop and deploy advanced ML models across a wide range of applications and teams, from financial crime prevention and fraud detection to customer risk scoring and sales optimization. You'll also explore and implement cutting-edge GenAI solutions to further automate and improve our systems and platforms. As our new Senior Data Scientist, you'll join our Squad Perseverance team, reporting to Rolf Njor Jensen. The team comprises dedicated individuals working in Aarhus, focusing on leveraging data to drive innovation within our Technology function, led by Kåre Kjelstrøm.

What will you do?

• ML Model Development and Deployment: Design, develop, deploy, and maintain robust machine learning and statistical models for various applications, including fraud detection, transaction monitoring, loan risk assessment, customer risk scoring, and sales/lead generation.

• GenAI Exploration and Implementation: Research, evaluate, and implement GenAI solutions to automate processes, improve decision-making, and enhance customer interactions.

• Data Analysis and Feature Engineering: Perform in-depth data analysis, feature engineering, and model evaluation to ensure optimal model performance.

• Collaboration: Work closely with data engineers, analysts, and business stakeholders to define project requirements, deliver actionable insights, and drive data-driven decision-making.

• Staying Current: Keep abreast of the latest advancements in machine learning and GenAI, and apply them to improve Lunar's data capabilities.

• Documentation: Maintain clear and concise documentation of models, methodologies, and results.

Curious about the Lunar culture?

Everything at Lunar centers around our core - to challenge. It's infused into our four values and guides us in how to work together, lead projects, and lead people to reach our mission. Our values aren't just words on a page - they're what make us who we are and shape the vibe of our culture. And trust me, we're all about the vibe. For a longer read about our culture, click here.

We're excited to welcome everyone to apply for this impactful role We can't wait to follow up with talents who we believe are the best fit based on the following criteria:

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.

• Extensive experience in developing and deploying machine learning models in a production environment.

• Strong proficiency in Python and relevant ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).

• Experience with cloud-based ML platforms (e.g., AWS SageMaker, Kubeflow).

• Strong understanding of machine learning, statistical modeling, and data analysis techniques.

• Experience with financial or other highly regulated industries is a significant plus.

• Outcome-driven development: Putting ML and AI to work is all about generating tangible outcomes - less fraud, faster onboarding, less risk exposure, increased revenue potential, etc.

• Excellent problem-solving and communication skills.

• Ability to translate complex technical concepts into actionable business insights.

Are you ready to join the journey? Apply now and let's find out more

Depending on the regulations in the country you will be employed, we will ask to see or obtain information about your criminal record.