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Senior Data Scientist

Remote, United Kingdom +1·Full-time·Added 6 months ago

This job was published 6 months ago

Sardine

2 open roles

Overview

Job details

  • €95,000 - €135,000 a year

    Gross, as stated in the ad.

    About €5,100 - €6,930 a month after tax, or €5,700 - €8,230 under the Beckham regime.

  • Full-time hours

    Per the ad.

  • Fully remote

    Only from certain places, per the ad: “Remote - UK/Germany/Spain/Ireland/Poland/Netherlands/Lithuania/Bulgaria”

  • Blue Card threshold

    Indicative — the ad doesn’t promise sponsorship.

Requirements

  • Work in English

    English is required, per the ad.

  • Have 7+ years of experience

    Senior-level role.

Pay & benefits

What you'll get

  • 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

Join 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.

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

What you'll do

  • 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

Location

  • Remote - UK/Germany/Spain/Ireland/Poland/Netherlands/Lithuania/Bulgaria

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

About Sardine

Sardine is a fintech company specializing in fraud prevention, anti-money laundering (AML), and compliance solutions for financial institutions and digital businesses. The company provides a platform that uses artificial intelligence and device intelligence to detect and prevent fraud in real-time, serving clients in the payments, crypto, and banking sectors. Founded in 2020, Sardine has quickly established itself as a key player in the fraud and compliance space, with a global presence and a growing team.

Industry
Fintech
Founded
2020
Employees
100–500
Headquarters
San Francisco, USA
In Spain
Madrid
Website
sardine.ai

Good to know if you are moving

  • Sardine has a global team with offices in San Francisco, New York, and London, and is expanding into Spain, offering opportunities for international professionals to work in a fast-growing fintech.
  • The company is backed by prominent investors, including Andreessen Horowitz and Visa, indicating strong financial stability and growth potential.
  • Sardine's platform is used by leading fintech and crypto companies, providing employees with exposure to cutting-edge fraud detection and compliance technologies.
  • The company offers a remote-friendly work culture, which can be appealing for international hires looking for flexibility.
  • Sardine is committed to diversity and inclusion, with a focus on building a global team that reflects its diverse customer base.

In their own words

About the company & team

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.

  • 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.

  • We're a remote-first team spread across time zones, so no office to report to - work from wherever helps you do your best work. Just a couple of things to keep in mind: pay is based on where you're located, and you'll need to keep a home base in the country you're hired in. So while we love the "coffee shop today, mountains tomorrow" life, this isn't a passport-optional, work-from-anywhere-on-Earth kind of remote - think flexible within your country, not borderless.

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