Senior Data Scientist

About the role

Zilch is seeking a Senior Data Scientist to join their Risk team to develop and optimise advanced models in credit risk, collections, and fraud detection. The role involves building production-grade models and decisioning solutions that improve risk outcomes and operational efficiency. You will collaborate with cross-functional teams to integrate data-driven insights into product strategies and business growth initiatives.

Responsibilities

• Work with large and complex datasets to solve a wide array of challenging problems using various analytical and statistical approaches.
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for products.
• Build, validate, deploy, and monitor robust, scalable machine learning models and model pipelines across the risk lifecycle.
• Present complex data science findings and methodologies to senior stakeholders clearly and concisely.
• Apply machine learning methods to solve risk and product-related business problems and enhance decision-making processes.
• Contribute to the team’s coding efforts, ensuring best practices in version control, testing, CI/CD, model deployment, and monitoring.
• Conduct A/B testing, champion/challenger testing, and experimental analyses to evaluate new features and strategies.
• Partner closely with engineering and platform teams to operationalise models, automate workflows, and improve model reliability in production.

Required skills

• SQL
• Python
• NumPy
• Pandas
• Scikit-Learn
• Machine Learning
• Git
• Amazon SageMaker
• GitHub Actions
• DBT
• Looker

Nice to have

• Credit risk modelling
• Collections optimisation
• Fraud detection
• Risk strategy
• Risk model governance
• Neural networks
• Deep learning

About the Company

Zilch is one of Europe's fastest-growing fintech companies on a mission to create the world's most empowering way to pay. Launched in 2020, the company has achieved double unicorn status and serves more than 6 million customers.