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ERLPhase Power Technologies Ltd.

Senior Decision Scientist, Marketplace

ERLPhase Power Technologies Ltd.

. Decide which Marketplace problems are real and which only appear real before a fix is built .

Posted 11/10/2026full-timeLondon • United KingdomSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in decision-making for Marketplace operations, focusing on booking, matching, and pay systems. Proficient in building data applications and analyzing discrepancies to drive real-world operational improvements.

Highest-signal resume keywords
SQL FluencyDecision-Making For Marketplace ChangesExperience With Pricing ModelsBuilding Analysis ApplicationsCollaboration With Data Science Teams

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQLData AnalysisDecision Systems DesignExperiment InterpretationData Application Development
Soft Skills
Entrepreneurial DriveAbility To Learn Quickly
Tools & Technologies
ClaudeData MonitorsAlerts Systems
Industry Keywords
Two-Sided MarketplaceGig PlatformOperational Research

Tech Stack

Tools & technologies
SQL

About the role

Key responsibilities & impact
  • Decide which Marketplace problems are real and which only appear real before a fix is built
  • Design decision systems for booking, matching, and pay, including relevant signals and success measures
  • Advise the squad lead on what to change or stop and secure a decision
  • Build data applications, monitors, and alerts using Claude and agents rather than presentation decks
  • Investigate discrepancies between data and real-world operations at sort centres, vans, and shops
  • Ensure missing data is built and prove whether each change worked
  • Design the system that will run Marketplace booking and pay decisions
  • Own decision-making for Marketplace changes on booking, matching, and shifts, and recommend on pay
  • Collaborate with analytics, operational research, and data science teams

Requirements

What you’ll need
  • Experience owning decisions fed by matching, pricing, or incentive models in a two-sided marketplace or gig platform
  • Experience having work acted on by leaders, teams, or engineers
  • Ability to trace why drivers or couriers stop booking or cancel
  • Ability to interpret experiments behind pricing or incentive changes, including when a clean test is not possible
  • Experience with real change such as a pivot, fast growth, or a new market, and rebuilding something because of it
  • Hands-on fluency in SQL
  • Ability and willingness to build analysis applications, monitors, and alerts
  • Strong technical fundamentals and entrepreneurial drive
  • Appetite to learn a physical operation quickly
  • No logistics experience required

Benefits

Comp & perks
  • Equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives
  • Hybrid work arrangement in London