Data Scientist – Post Sales

🕒 March 27

🇬🇧 United Kingdom – Remote

💵 £85k - £135k / year

⏰ Full Time

🟠 Senior

🔴 Lead

📊 Data Scientist

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Sardine

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

🔒 Cybersecurity

📋 Compliance

💳 Fintech

Cybersecurity • Compliance • Fintech

Sardine is a cutting-edge platform focused on fraud prevention and compliance. The company offers a behavior-based system for fraud detection, identity verification, and transaction monitoring that helps leading banks, online retailers, and fintechs protect themselves from scams and financial crime. Sardine's technology integrates advanced behavioral biometrics and device intelligence to combat identity fraud, payment fraud, and account takeovers. The platform also streamlines compliance checks such as KYC (Know Your Customer) and AML (Anti-Money Laundering) transaction monitoring. Sardine's comprehensive solution empowers its clients to automate risk decisioning, identify high-risk users early, and manage fraud across the customer journey effectively.

📋 Description

• Develop and track metrics to measure and monitor the performance of our risk products and the effectiveness of risk management strategies. • Conduct in-depth analyses to uncover valuable insights contributing to fraud reduction and higher approval rates for our clients. • Serve as a client-facing partner by translating complex data insights into clear, actionable recommendations • Build and experiment with ML models to identify fraudulent patterns and enhance fraud detection capabilities. • Work with engineers on data instrumentation. • Create and automate self-serve dashboards leveraging BI tools. • Collaborate with cross-functional teams (Business, Product, and Engineering) to understand and translate business requirements into actionable data-driven solutions. • Collaborate on implementing risk mitigation solutions, ensuring alignment with business goals.

🎯 Requirements

• Strong technical background with 7+ years of experience demonstrating high impact in a data-focused role such as product analytics, business analytics, or data science • Prior experience in the Fraud/Risk domain • Hands-on experience in SQL and Python • Expertise in BI tools such as Tableau/Sigma/Metabase • Exposure to building ML models to address business challenges • Ability to structure and analyze data, leveraging techniques like EDA and cohort analysis, transform them into understandable and actionable recommendations, and then communicate them effectively across the organization and clients. • Proficiency in defining, utilizing, and communicating performance metrics • Creative problem-solving, strong critical thinking, and a getting-things-done approach

🏖️ Benefits

• Generous compensation in cash and equity • Early exercise for all options, including pre-vested • Work from anywhere: Remote-first Culture • Flexible paid time off and Year-end break • Health insurance, dental, and vision coverage for employees and dependents - *US and Canada specific* • 4% matching in 401k / RRSP - *US and Canada specific* • MacBook Pro delivered to your door • One-time stipend to set up a home office — desk, chair, screen, etc. • Monthly meal stipend • Monthly social meet-up stipend • Annual health and wellness stipend • Annual Learning stipend