--- title: "Senior Data Scientist" company: "Sardine" company_url: "https://www.remjobs.works/companies/sardine" url: "https://www.remjobs.works/job/sardine-senior-data-scientist-882fe970-c952-4a47-9107-3961b4d3e2ea" apply_url: "https://jobs.ashbyhq.com/sardine/1a00a64d-2dbb-4e2f-9efe-1ed32226397e" workplace: remote location: "United Kingdom" remote_scope: "United Kingdom" employment_type: full-time seniority: senior role: data region: united-kingdom skills: ["python", "sql", "tableau"] date_posted: 2026-04-29T23:37:48.981Z first_seen_by_remjobs: 2026-08-26T15:15:11.266Z --- # Senior Data Scientist **Sardine** — United Kingdom Apply: https://jobs.ashbyhq.com/sardine/1a00a64d-2dbb-4e2f-9efe-1ed32226397e ## About Sardine The top agentic risk platform used by leading banks and merchants worldwide to stop fraud in real-time, prevent AI-driven attacks, automate fraud & AML operations ## About the role **Who we are:** Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products. **Our culture:** - We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere - We hire talented, self-motivated individuals with extreme ownership and high growth orientation. - We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule.**Location** - UK, Germany, Ireland, Spain, Poland, Bulgaria and Lithuania - Remote - From Home / Beach / Mountain / Cafe / Anywhere! - We are a remote-first company with a globally distributed team. So you can find your productive zone and work from there. **About the role** We're looking for a data-driven professional to help us measure, understand, and improve the performance of our risk strategies — and to stay ahead of evolving fraud threats by designing and deploying data-driven solutions with real-world impact. You'll work directly with clients to understand their unique fraud challenges, rapidly prototype proof-of-concept models, and build scalable, production-ready solutions using machine learning and graph analytics. You'll also analyze complex datasets, design metrics, build dashboards, and collaborate closely with stakeholders across the business to drive decision-making and optimize outcomes. This is a hands-on, high-impact role ideal for someone who thrives at the intersection of data science, client-facing problem solving, and real-time risk. **What you'll be doing** - Champion a data-first approach across internal teams and client engagements, promoting clarity and impact - Build and deploy machine learning models to prevent fraud across diverse fintech use cases, from proof-of-concept through to production - 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 insights contributing to fraud reduction and higher approval rates for our clients - Work directly with clients to understand their fraud challenges and translate complex data insights into clear, actionable recommendations - Use data and models to support the development of risk mitigation strategies and interventions while preserving and improving the user experience - Create and automate self-serve dashboards leveraging BI tools - Collaborate with engineering to scale models into production, optimize performance, and support data instrumentation - Partner with cross-functional teams (Business, Product, and Engineering) to translate business requirements into data-driven solutions**What you'll need** - 7+ years of experience in data science, quantitative modeling, or a data-focused role (product analytics, business analytics) with demonstrated high impact in fraud or risk contexts - Strong hands-on experience with Python/R and SQL is essential, with Spark being a nice to have - Expertise in BI tools such as Tableau, Sigma, or Metabase - Proven ability to structure and analyze complex data using techniques like EDA and cohort analysis, and communicate findings effectively to both technical and non-technical audiences, including clients - Sharp critical thinking and creative problem-solving skills with a bias toward action - Proficiency in defining, tracking, and communicating performance metrics**Benefits we offer:** - 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 stipendJoin a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you. *To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our *[Applicant and Worker Privacy Notice](https://www.sardine.ai/applicant-and-worker-privacy-notice)*.* --- Source: Sardine's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/sardine-senior-data-scientist-882fe970-c952-4a47-9107-3961b4d3e2ea