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Data Scientist II

4 weeks ago
United Kingdom
Full-time
Mid Level
Data Scientist
Data Science and Analytics
Apache Spark Databricks Generative AI Machine Learning Python SQL
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Signifyd

Signifyd

Signifyd provides comprehensive ecommerce fraud protection services, including revenue protection, abuse prevention, and payment compliance, with a financial guarantee for online retailers to grow confidently and securely.

IT Services
251-1K
Founded 2011
$407M raised
View All Jobs 9

Description

  • Partner with Business Unit Leads and merchant portfolios to identify decisioning performance gaps and implement solutions.
  • Build, deploy, and maintain production machine learning models for fraud detection.
  • Develop automation to reduce repetitive manual work.
  • Design and run experiments to optimize decisioning strategies while balancing complexity and performance.
  • Communicate complex analytical and machine learning concepts to internal teams and occasional external customers.
  • Write production and offline analytical code in Python and review code in a shared codebase.
  • Work with distributed data pipelines and analytics tools across Spark, Databricks, and GCP.
  • Own the end-to-end development, deployment, and evaluation of hypotheses and experiments.
  • Participate in peer reviews, paper studies, demos, documentation, and cross-team knowledge sharing.
  • Participate in the weekend on-call rotation, currently approximately six weekends per year.Ï

Requirements

  • Bachelor’s degree in computer science or a comparable analytical field.
  • 3+ years of post-undergraduate work experience.
  • Strong machine learning and statistical background.
  • Strong written and verbal communication skills.
  • Proficiency writing and reviewing Python code in a shared codebase.
  • Practical SQL knowledge.
  • Experience designing experiments and collecting data.
  • Experience with distributed analytics and data tools such as Spark and Databricks.
  • Previous experience in fraud, payments, or e-commerce (preferred).
  • Experience with distributed data analysis, production A/B testing, AI coding agents, automation, or advanced academic study (preferred).

Benefits

  • Remote-first work environment with no travel requirement.
  • Stock options and annual performance bonus or commissions.
  • Pension matching up to 8%.
  • Health, dental, and optical insurance from day one.
  • Generous annual leave plus public holidays.
  • Enhanced maternity and paternity leave.
  • On-demand therapy for employees and dependents.
  • Dedicated learning budget through Learnerbly.

Interested in this position?

Apply directly on the company website

Apply Now

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