Senior Data Scientist with FPA

Employer: Klarna

Location: Warsaw (hybrid work: 2-3 days in the office)

Rate: 170 - 195 PLN per hour

Cooperation model: B2B or Employment Contract

Start date: ASAP

Duration: long-term agreement

Recruitment process: 1 timed Abstract and Logical Reasoning Test (up to 15 minutes); 1 short interview (up to 30 minutes)

Do you want to play a key role in revolutionizing the future of finance? Join Klarna - a global leader in deferred payments, with over 85 million active users and 2.5 million transactions processed daily! As a pioneer in modern payment solutions, Klarna is developing innovative methods that streamline the shopping experience, enhance transaction security, and expand the availability of purchasing options. 

Your role is:

-> To build, deploy, and maintain forecasting and analytics models as part of Klarna’s Group FP&A team. The scope includes the full P&L and balance sheet (e.g., transactions, revenue, receivables);

-> To own the end-to-end model lifecycle: problem framing, data sourcing, feature engineering, modeling, validation, documentation, versioning, and monitoring;

-> To design driver-based and hierarchical forecasts, and reconcile outputs across markets and products to ensure consistency between the P&L, balance sheet, and cash flow;

-> To develop scenario, sensitivity, and stress-testing tools to support the annual plan, monthly forecasts, and in-month outlooks;

-> To partner with teams across the company to translate business questions into measurable models and decisions;

-> To productionize solutions in Klarna’s cloud environment (Python/SQL), automating reliable, reproducible pipelines with Airflow and Docker;

-> To productionize solutions in Klarna’s cloud environment (Python/SQL), automating reliable, reproducible pipelines with Airflow and Docker;

-> To create clear narratives, dashboards, and variance bridges that explain model outputs and drivers to finance leadership;

Who You Are:

->  A data scientist with a ML background, proficient in Python and SQL, and comfortable shipping production code in the cloud (AWS) with Git/CI;

-> Skilled in forecasting methods - both classical and ML-based forecasting with experience tuning;

-> Structured and execution-oriented; able to define problems, prioritize, and deliver end-to-end with high autonomy;

-> A clear communicator who can simplify complex topics for non-technical stakeholders;

-> Excited to learn from and contribute to a team that actively experiments with cutting-edge tools and AI agents, and motivated to explore how such innovations can enhance day-to-day finance and analytics work;

-> An academic background in a quantitative field (e.g., Mathematics, Physics, Engineering;

-> Working proficiency and communication skills in verbal and written English.

Nice to have:

+ Experience in fintech/e-commerce or consumer finance; familiarity with payments, receivables, and funding mechanics; 

+ AWS experience (e.g., Batch, Lambda, Step Functions, EC2, S3) and workflow orchestration (e.g., Airflow); containers (Docker);

+ MLOps practices for monitoring/backtesting, drift detection, and alerting; and experimentation design.

Our client offers:

+ Great opportunity for personal development in a stable and friendly large multinational company;

+ Start-up mentality, small agile teams;

+ Global Reach: Impact millions with seamless shopping and payments;

+ Career growth and additional education.

If interested, please apply safely through this portal (application rules are in accordance with GDPR). Employment agency Nr 17138.