Data Scientist, Sardine

£85-135k

+ Equity. Europe: €85K – €140K

SQL

Python

Tableau

Spark

Metabase

Senior and Expert level

Remote from Europe, UK

More information about location

Fraud prevention & compliance infrastructure

Open for applications

Fraud prevention & compliance infrastructure

201-500 employees

FintechB2BComplianceMachine LearningSaaSAPICyber SecurityFraud

Open for applications

£85-135k

+ Equity. Europe: €85K – €140K

SQL

Python

Tableau

Spark

Metabase

Senior and Expert level

Remote from Europe, UK

More information about location

201-500 employees

FintechB2BComplianceMachine LearningSaaSAPICyber SecurityFraud

Company mission

To remove the friction and risks associated with high velocity money movement, from banks and cards through to digital wallets and crypto.

Job

Company

Role

Who you are

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

What the job involves

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
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

Our take

Identity and payment fraud is one of the biggest dangers facing online businesses. Sardine is setting out to solve this problem by building the first zero-day fraud prevention technology.

Sardine's technology traces intrinsic behaviour patterns to identify so-called "bad actors" online, and detects fraudsters using machine-learned fraud scores and user behavior biometrics.

The company calls itself the world's first FaaS (Fraud Detection as a Service), and its solutions are already drawing business from next-gen crypto and financial service institutions. Onboarding these institutions and scaling its customer base at pace will ensure that Sardine maintains its frontrunner position.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

21% employee growth in 12 months

Glassdoor (4.5)

Company

Funding (last 2 of 4 rounds)

Feb 2025

$70m

SERIES C

Sep 2022

$51.5m

SERIES B

Total funding: $145.6m

Company benefits

Generous equity compensation
Work from anywhere: Remote-first Culture
Unlimited paid time off and minimum 2 weeks/year of mandatory vacation
100% of health insurance, dental, and vision coverage for employees and 50% for dependents
4% matching in 401k
Company-wide offsites, the last one was at Miami
MacBook Pro delivered to your door
One-time stipend to set up a home office — desk, monitors, etc
Monthly meal stipend
Annual fitness allowance
Unlimited access to an expert financial advisory

Company HQ

SoMa, San Francisco, CA

Leadership

Soups Ranjan

(Co-Founder & CEO)

Previously worked as Director of Data Science & Risk at Coinbase, and was Head of Crypto at Revolut.

Zahid Shaikh

(Co-Founder)

Previously worked as a Senior Product Manager at both PayPal and Uber, and was Senior Product Owner at Revolut.

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