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Signifyd

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Signifyd

Data Scientist II

Signifyd is looking for a Data Scientist II to join the Applied Decision Science team. Signifyd provides technology that helps online merchants manage risk, prevent fraud,…

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Role Snapshot

Work arrangement
Not specified
Location
United Kingdom
Salary
Not specified
Apply by
Not specified
Employment type
Full-time
Experience
Not specified
Added to Jobsiz1mo ago
Listing Views16
Applications0
Apply BeforeNo deadline

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About this role

Data Scientist II at Signifyd is a full-time role. Work arrangement: Not specified. Location: United Kingdom. No salary is shown in this listing. It was posted on Oct 1, 2026. This listing is paused and not taking applications at the moment.

Job Description

Signifyd is looking for a Data Scientist II to join the Applied Decision Science team. Signifyd provides technology that helps online merchants manage risk, prevent fraud, and optimize shopping experiences. In this role, you will build and manage decision systems, create machine learning models, and automate processes to support global retailers.

This position requires professionals who can take ownership of the end-to-end development, deployment, and evaluation of models. Team members collaborate through peer reviews, group paper studies, and live demonstrations. The working environment heavily utilizes tools like Python, Spark, Databricks, and Google Cloud Platform, along with generative AI applications.

The role involves participating in an on-call weekend rotation roughly six times a year. While the workforce at Signifyd is primarily remote with annual team gatherings, the posting indicates an on-site work arrangement for this specific opening. Candidates are asked not to use generative AI tools during the interview process.

Responsibilities

  • Partner with the Business Unit Lead and merchant portfolio to find decision performance gaps and deploy solutions with senior guidance
  • Build new production machine learning models or use existing ones to detect fraud alongside other data scientists and machine learning engineers
  • Develop automation tools to minimize repetitive manual tasks
  • Execute experiments to determine ideal decision strategies that balance performance and complexity
  • Explain complex concepts to internal teams such as Sales and Customer Success, as well as select external clients
  • Write analytical offline code and production code using Python
  • Manage distributed data pipelines using GCP, Spark, and Databricks

Requirements

  • Hold a degree in computer science or a related analytical field
  • Possess at least three years of professional work experience following undergraduate studies
  • Demonstrate strong verbal and written communication skills
  • Bring a solid background in machine learning and statistics
  • Write and review code within a shared Python codebase
  • Show practical knowledge of SQL
  • Design experiments and gather necessary data
  • Demonstrate experience with distributed analytics and data tools including Databricks and Spark
  • Participate in on-call weekend shifts approximately six times per year

Qualifications

  • Prior work experience in payments, e-commerce, or fraud
  • Background in data analysis within a distributed setting
  • Demonstrated interest in writing well-tested production-grade code
  • Familiarity with AI coding agents and automation
  • Experience executing A/B tests in live production environments
  • An advanced degree

Core Skills

Benefits

  • Stock Options
  • Annual Performance Bonus or Commissions
  • Pension matched up to 8 percent
  • Day one access to health, dental, and optical insurance schemes
  • Generous annual leave plus public holidays
  • Cycle to Work Scheme
  • Enhanced maternity and paternity leave including 12 weeks of full pay for mothers and fathers, plus 12 weeks of half-pay for mothers
  • Regular paid social events hosted by the social committee
  • Mental wellbeing resources
  • Dedicated learning budget through Learnerbly

Frequently Asked Questions

Answers are based only on the employer’s listing; where it doesn’t say, neither do we.

What is the employment type for this position?

The posting specifies that this is a full-time position.

What is the location or remote policy for this role?

The job is listed with an on-site remote status, though Signifyd notes that most of its workforce is primarily remote with yearly team gatherings.

What are the salary and travel requirements?

The salary is not stated in the job posting, and there is no travel requirement for this role.

Does the position require any on-call duties?

Yes, the role includes on-call shifts as part of a weekend rotation covering Friday, Saturday, and Sunday, which currently amounts to about six weekends a year.

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Posted by Signifyd

Source: Jobicy — UK

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Posted by employer: Not specified

Added to Jobsiz: Oct 1, 2026

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