Data Scientist II, Fraud & Risk – Remote

Signifyd; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Stock Options

Annual Performance Bonus or Comissions

Pension matched up to 8%

Health insurance (Day one)

Cycle to Work Scheme

Generous leave

Job summary

Signifyd, a leader in fraud prevention for e-commerce, seeks a data scientist to advance the decision stack and build scalable ML models. You will collaborate with data scientists and engineers to identify gaps, develop production-grade models, and automate repetitive tasks.

Your role includes running experiments, communicating findings to multiple stakeholders, and handling distributed data pipelines using Spark/Databricks on GCP. A strong ML and analytical background is essential.

Qualifications

• A degree in computer science or a comparable analytical field.
• 3+ years of post-undergrad work experience required.
• Strong verbal and written communication skills.
• Strong machine learning and statistical background.
• Write code and review others' in a shared codebase in Python.
• Practical SQL knowledge.
• Design experiments and collect data.
• Experience with distributed analytics and data tooling such as Spark and Databricks.
• This role has on-call shifts, as part of our weekend rotation, Fri/Sat/Sun.

Responsibilities

• Partner with the Business Unit Lead and their merchant portfolio to identify gaps in decisioning performance and implement solutions, with guidance from senior team members.
• Utilize existing, or build net new production machine learning models that identify fraud, in collaboration with other data scientists and machine learning engineers.
• Identify and build automation that reduces repetitive manual work.
• Run experiments to identify optimal decisioning strategies, balancing complexity and performance.
• Communicate complex ideas to a variety of audiences, from Customer Success and Sales, to limited interactions with external customers.
• Write production and offline analytical code in Python.
• Work with distributed data pipelines in Spark/Databricks/GCP.

Skills

Machine Learning

Python

SQL

Distributed analytics

Spark / Databricks

Data storytelling

Communication

Education

Degree in Computer Science or related analytical field

Tools

Spark

Databricks

GCP

Job description

Signifyd, a leader in fraud prevention for e-commerce, seeks a data scientist to advance the decision stack and build scalable ML models. You will collaborate with data scientists and engineers to identify gaps, develop production-grade models, and automate repetitive tasks.

Your role includes running experiments, communicating findings to multiple stakeholders, and handling distributed data pipelines using Spark/Databricks on GCP. A strong ML and analytical background is essential.