Crack the code on Fraud Prevention – Join our Data Science team!

At Vipps MobilePay, we remove hassle, create dazzle, and make it very, very easy for users to send and receive money. Being the most loved brands in both Norway and Denmark (and climbing fast in Finland), we impact people’s everyday lives by delivering great user experiences to 11 million users and collectively 400,000 stores/web shops across the Nordics.

Through joining forces, we want to make cross-border payments just as easy as shopping across the web in the Nordics. Our primary focus now is to consolidate our customers and users onto one common Nordic platform. This will enable us to build even better and highly scalable solutions.

About the role:

Are you ready to dive into a sea of data and unlock its potential? Vipps invites you to be a key player in our dynamic team, where we are not just sitting on data—we are leveraging it to revolutionize online payments!

Imagine using your expertise to navigate through vast amounts of data, crafting insightful segmentations, and making predictions that propel our online payment solutions to new heights. As a central figure in our quest for data utilization excellence, you will play a pivotal role in shaping our investment in online payment. Your contributions will not only set ambitious strategies but also drive us toward our goals in the Financial Crime Prevention.

You will also be an important resource for setting an ambitious strategy and goals for the area of anti-fraud and risk-scoring. Data scientists in this area leverage advanced analytics, machine learning, and data-driven insights to identify and mitigate these risks, ensuring secure transactions for millions of users and predict fraud within fraction of a second. This will enhance customer trust and confidence in the platform. The position is placed in Team Risk Scoring and Modelling under Financial Crime Prevention - here you will work together with skilled data engineers and developers.

Required Qualifications:

• Master/bachelor's degree in Statistics, Data Science, or a related field.
• 2+ years of proven hands-on experience in developing Machine Learning models
• Strong proficiency in Python.
• Extensive knowledge of key Python packages for Data Science and Machine Learning, including Pandas, Sklearn, PyTorch, and TensorFlow.
• Experience working with Big Data solutions.
• Solid understanding of ETL pipelines and data processing frameworks.
• Strong knowledge of code versioning tool (Git).

Preferred Qualifications:

• Experience with Data Engineering concepts and practices.
• Experience in MLFlow for managing end-to-end machine learning projects.
• Experience with Apache Spark and Databricks Platform.
• Familiarity with Azure cloud platform.
• Experience with anti-fraud is a big plus.

What we value:

In Vipps MobilePay we work in cross-functional teams, and we trust our teams to know what's best for Vipps MobilePay. We spend our time both looking at the bigger picture and getting our hands dirty with complex problems. We get a kick out of such a bustling and collaborative environment, and you should too.

Above all else, we let our values guide us:

• Keep it simple: Simple solutions to complicated problems.
• No worries: A worry-free work environment, failing fast and big to test and progress.
• One team: Co-creation and being in it together.

Applying for this position is as simple as using our products, just click on the button below and get in touch.