Applied Scientist – Integrity

Prolific

Applied Scientist in ML and data science at Prolific, focusing on participant quality and fraud prevention. Collaborating within the Integrity team to shape role and structure.

Posted 7/10/2026full-timeRemote • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Join Prolific's Integrity team, which protects the platform from fraud and misuse
Help shape the role and create structure where there isn't much yet
Spot problems worth solving and start on them, rather than waiting to be assigned
Collaborate with others

Requirements

What you’ll need

Deep expertise in one applied ML, statistics, or data science specialism
Judgement about when to reach for simple statistics, classical ML, LLMs, or agentic approaches
3+ years applying ML, AI research, or data science to real problems
Python skills sufficient to build, test, and iterate on working prototypes independently
Able to take a loosely defined product or customer problem and turn it into clear hypotheses, experiments, and metrics
You must be comfortable working on ambiguous problems, and suggesting solutions rather than waiting to be told exactly what to do
An MSc or PhD in Computer Science, Maths, Statistics, ML, or a related field — or equivalent knowledge gained another way
Experience working alongside product and engineering teams

Benefits

Comp & perks

Competitive salary
Benefits
Remote working
Opportunities for groundbreaking research

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Machine LearningStatisticsData SciencePython ProgrammingPrototypingHypothesis DevelopmentExperiment DesignMetrics AnalysisClassical MLLLMs

Soft Skills

JudgementCollaborationProblem SolvingAdaptabilityInitiative