Senior/Lead Data Scientist- Open Banking

PLP Group; Stockholms kommun; On-site; SEK 775,398 - 1,108,832; Full time

Job summary

PLP Group is seeking a Senior/Lead Data Scientist for Stockholm to turn Open Banking data into actionable insights for fraud prevention and underwriting decisions. You will own the full ML lifecycle from raw data to production, collaborate with Engineering to scale, and monitor performance with dashboards.

We value strong Python/SQL skills, AWS experience, and the ability to work cross-functionally with Credit Modeling and Fraud teams. Open Banking data familiarity is a plus.

Qualifications

• Experience building and deploying ML models end to end.
• Strong feature engineering skills with transactional/financial data.
• Proficient in Python and SQL, AWS experience.
• Solid understanding of classification modeling for risk/fraud.

Responsibilities

• Develop ML models from data to production deployment.
• Engineer features across transactional cash flows for affordability and risk.
• Monitor model performance and impact via dashboards; collaborate with Credit/Fraud teams.

Skills

Machine learning

Feature engineering

Python

SQL

AWS

Model deployment

Tools

Databricks

Datadog

Job description

Senior/Lead Data Scientist- Open BankingJob detailsData ScienceStockholmFull-timekr 775,398 SEK - kr 1,108,832 SEK**What you will do**As a Senior Data Scientist within our Open Banking team, you will build the analytical foundation that turns raw bank account data into reliable, actionable insight for fraud prevention and underwriting decisions. You will engage in feature engineering across incoming and outgoing cash flows to model affordability, and develop machine learning models that estimate probability of default and produce fraud scorecards. You will own the full lifecycle of these models, from raw data through to production deployment, working closely with engineering to operationalize your work at scale. You will also help monitor model performance, impact, and acceptance rates through dashboards you help build, and you will partner closely with the Credit Modeling and Fraud teams to align on shared goals and infrastructure.**Who you are*** Experience building and deploying machine learning models end to end, from raw data to production* Strong feature engineering skills, ideally with transactional or financial data* Proficient in Python and SQL, with experience working in AWS environments* Solid understanding of classification modeling techniques for risk or fraud use cases* Comfortable partnering closely with engineering teams to bring models into production* Strong communication skills, with the ability to work cross-functionally with Credit Modeling and Fraud teams* A curious, ownership-driven mindset, comfortable building infrastructure and processes from scratch**Awesome to have*** Experience with open banking data or affordability modeling* Familiarity with building dashboards for model monitoring, ideally with tools like Databricks* Experience with monitoring and observability tools such as Datadog* Background in underwriting, credit risk, or fraud detection use casesPlease include a CV in English