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Prolific

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

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates deep expertise in applied Machine Learning, Statistics, or Data Science, with the ability to independently build and iterate prototypes in Python. Capable of transforming ambiguous problems into clear hypotheses and metrics while collaborating effectively with product and engineering teams.

Highest-signal resume keywords
Applied Machine Learning ExpertisePython Prototyping SkillsStatistical AnalysisData Science Problem SolvingMSc Or PhD In Computer Science

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Machine LearningStatisticsData SciencePython ProgrammingPrototypingHypothesis DevelopmentExperiment DesignMetrics AnalysisClassical MLLLMs
Soft Skills
JudgementCollaborationProblem SolvingAdaptabilityInitiative
Industry Keywords
AI ResearchProduct CollaborationEngineering CollaborationAmbiguous Problem Solving

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