Applied Scientist, Supply

Prolific
London
Workplace: RemoteFull timeFunction: Supply Chain & LogisticsExperience: 3+ yearsEducation: phdSkills: ["Scientific judgement","Problem framing","Cross-functional communication","Experimental design","Collaboration"]

Design and prototype AI/ML methods that improve human data quality and scale reliable AI evaluation. Build experiments, benchmarks, and reliability tests to measure quality, efficiency, and customer outcomes, leveraging classical ML, statistics, and LLM/agentic techniques when practical. Partner with product and engineering to translate scientific hypotheses into reusable prototypes and scalable platform capabilities, communicating trade-offs clearly across teams.

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FursaFursa
Prolific
Prolific
3 months ago

Applied Scientist, Supply

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Last checked: 12 hours agoStatus: Live

Job Summary

Design and prototype AI/ML methods that improve human data quality and scale reliable AI evaluation. Build experiments, benchmarks, and reliability tests to measure quality, efficiency, and customer outcomes, leveraging classical ML, statistics, and LLM/agentic techniques when practical. Partner with product and engineering to translate scientific hypotheses into reusable prototypes and scalable platform capabilities, communicating trade-offs clearly across teams.
Location: London
Workplace: Remote
Employment Type: Full time
Job Function: Supply Chain & Logistics
Seniority: Mid level

Key Responsibilities

  • •Prototype AI/ML methods to improve human data quality, judgement aggregation, and AI evaluation workflows.
  • •Design experiments, benchmarks, and reliability tests to measure whether new methods improve quality, efficiency, or customer outcomes.
  • •Apply classical ML, statistics, LLMs, and agentic techniques where they create practical value.
  • •Use modern AI tools to accelerate prototyping, experimentation, and iteration.
  • •Partner with product and engineering to translate scientific methods into scalable platform capabilities and clearly communicate assumptions and trade-offs.

Key Requirements

  • •PhD or MSc in Computer Science, Mathematics, Statistics, Machine Learning, or a related field.
  • •3+ years of applied ML, AI research, or data science experience with real-world impact.
  • •Experience with human-in-the-loop AI systems, including RLHF, annotation pipelines, data quality modelling, judgement aggregation, benchmarks, or AI evaluation.
  • •Fluency with modern LLM and agentic techniques such as RAG, LLM-as-judge, multi-agent workflows, synthetic data generation, and automated quality review.
  • •Strong Python skills to quickly build, test, and iterate on working prototypes.
Experience:3+ years
Education:PhD / Doctorate in Computer Science, Mathematics, Statistics, Machine Learning, or related field
Skills:Scientific judgementProblem framingCross-functional communicationExperimental designCollaboration
Tech Stack:PythonLLMsRAGLLM-as-judgeMulti-agent workflowsSynthetic data generationRLHF

Company Brief

Prolific
Operates an online participant recruitment platform connecting researchers and companies with vetted participants for academic and market research studies, offering survey hosting, participant management, and data quality tools.
Industry: SaaS
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: Oxford, United Kingdom
Founded: 2014
WebsiteLinkedIn