Data Scientist-POC

United Kingdom

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$100,000 – $150,000Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Fraud Prevention, AML Compliance, FintechIndustries

Requirements

Candidates should possess 7+ years of experience in data science or quantitative modeling, preferably in risk or fraud contexts, and hold an advanced degree in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, or Economics. A strong working knowledge of Python, R, Spark, SQL, or equivalent tools is necessary, along with sharp critical thinking, creative problem-solving skills, and the ability to explain complex technical findings to non-technical stakeholders and clients.

Responsibilities

The Data Scientist will design and deploy data-driven solutions to prevent fraud, working directly with clients to understand their unique challenges and prototype proof-of-concept models. Responsibilities include building scalable, production-ready solutions using machine learning and graph analytics, standardizing modeling workflows, and collaborating with engineering to streamline backend systems. The role involves championing a data-first approach, building and deploying machine learning models for fraud prevention, using data to support risk mitigation strategies, evolving risk metrics, and scaling models into production.

Skills

Machine Learning

Graph Analytics

Data Science

Client-Facing Problem Solving

Risk Management

Prototyping

Data-Driven Solutions

Sardine

Fraud prevention and compliance platform

About Sardine

Sardine.ai focuses on fraud prevention and compliance for banks, retailers, and fintech companies. Its platform offers tools for risk scoring, transaction monitoring, and customer due diligence, helping clients detect fraud and prevent money laundering. What sets Sardine.ai apart is its ability to monitor customer interactions for fraud signals, using data from over 35 providers to generate accurate risk scores. The company's goal is to enhance security and compliance for financial institutions and retailers.

San Francisco, CaliforniaHeadquarters

2020Year Founded

$73.5MTotal Funding

SERIES_BCompany Stage

Fintech, Financial ServicesIndustries

51-200Employees

Benefits

Generous compensation in cash and equity

7-year for post-termination option exercise (vs. standard 90 days)

Early exercise for all options, including pre-vested

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 60% 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

Monthly health and wellness stipend

Monthly meet-up stipend

Unlimited access to an expert financial advisory

Risks

Sophisticated synthetic identity fraud challenges traditional detection methods.

Real-time payment systems increase fraud risk, straining current detection capabilities.

Dollar-to-crypto conversion partnership may attract regulatory scrutiny.

Differentiation

Sardine offers instant settlement for NFT and cryptocurrency transactions, enhancing transaction speed.

The platform uses behavioral biometrics to monitor interactions, providing precise risk scores.

Sardine integrates data from over 35 providers for comprehensive fraud detection.

Upsides

Partnership with Experian enhances product offerings with behavioral biometrics and device intelligence.

Collaboration with Airbase expands market reach in integrated risk management solutions.

Launch of GenAI assistant, Finley, leverages AI for competitive fraud detection.

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