Senior Data Scientist - Payment Methods

Are you the one?


Do you have a passion for machine learning and how it can bring value to Klarna and our end-users? Are you also interested in Machine Learning Operations and how Machine Learning systems work in production? Then the opportunity as Data Scientist in the Marginal Transactional Underwriting (MTU) team might just be the next step for you!


Team scope
The MTU team builds, owns, validates, and runs all profitability models for Klarna’s Payment Methods. This includes models for specific Profit & Loss line items. MTU is a fairly new team, but has already demonstrated significant business uplift and policy simplification, and the plan is to roll out its methodology of making decisions on profitability predictions at purchase time across all markets. The team has the market/product specific underwriting teams as their main customers. As a part of the Transactional Underwriting group within Payment Methods, MTU works closely together with the other teams in the group to optimize our underwriting across markets and products.


Data Scientist in MTU
As a Data Scientist in the MTU team, you will work in a cross-competence team and ensure that we deliver quality work and business impact. You will ensure high standards of model deliveries through process, governance, reviews, and collaboration with the customer teams, Transactional UW group, and team members. This will enable a smoooth rollout of MTU across payment products and markets and continuous optimization of live models, whilst leaving room for experimentation. We believe that a Data Scientist in the MTU team has good knowledge of data science/engineering best practices, tools, and modeling approaches. On a daily basis you will work with our ML pipeline (training/retraining models, development, and optimization), handling stakeholders/collaborators, and drive initiatives/projects. You will learn how to scope a modeling project and how the iterative process of an ML system helps bring business value to our internal customers and end customers. You will also learn how to balance the business needs of stakeholders with the technical capabilities required to keep up with Klarna's growth and high standards.


Do you have?
Minimum 3 years experience as Data Scientist
Knowledge and understanding of best practices of DS + Engineering
SQL, Python, Statistics + ML Pipeline experience
Business mindset with attention to stakeholders needs
Focus on Business Impact



How to apply


Send over a CV in English.


Klarna is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates. Please refrain from including your picture and age with your application.


What we offer:


Diversity & Community
With our diversity of skills, perspectives and backgrounds, we can create, innovate, and disrupt like no other. Diversity is part of who we are, and essential to our success.


Ownership & Impact
Here, every voice matters. We’re organized into hundreds of small teams, each run like a start-up, focused on their own problem-space.


Trust & Collaboration
Successes and failures are won together at Klarna in a melting pot of teams. Win, lose, and learn, we’re on this path together.


The Klarna Work Policy is designed to make sure we foster team collaboration while also ensuring a productive and flexible work environment. We work 2 days per week in the office on agreed days, and then 3 flexible days. We’re also providing each Klarnaut with an annual financial contribution to improve their flexible work life whether they use it to upgrade their work accessories, or their home office space!


Challenges & Rewards
We take a very Swedish approach to benefits. Support for parents, health and wellness perks—we’ve got you covered.


About Klarna
Since 2005 Klarna has been on a mission to revolutionize the retail banking industry. With over 90 million global active users and 2 million transactions per day, Klarna is meeting the changing demands of consumers by helping them save time and money while better managing their cashflow and making informed decisions. Over 250,000 global retail partners, including H&M, Saks, Sephora, Macys, IKEA, Expedia Group, and Nike have integrated Klarna's innovative technology to deliver a seamless shopping experience online and in-store. With over 5,000 employees, Klarna is active in 20 markets and is one of the most highly-valued private fintechs globally, with a valuation of $45.6 billion. For more information, visit Klarna.com
It is our commitment that every qualified person will be evaluated according to skills regardless of age, gender, identity, ethnicity, sexual orientation, disability status or religion. Please refrain from including your picture and age with the application.