Staff Decision Scientist – Partner Excellence

ERLPhase Power Technologies Ltd.

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

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

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in fraud, risk, and trust decision-making, with a strong focus on data-driven investigations and metrics. Proficient in SQL and capable of collaborating effectively with cross-functional data teams to drive operational improvements.

Highest-signal resume keywords

Fraud Decision-MakingRisk ManagementSQL FluencyData InvestigationDecision Metrics

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

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

Hard Skills

SQLData AnalysisDecision Framework DesignInvestigation TechniquesPerformance Metrics

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

ClaudeData ApplicationsMonitoring Tools

Industry Keywords

FraudRiskFinancial CrimeTrust and SafetyOperational Research

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Decide which Partner Excellence problems are real and which only appear real before a fix is built
Design Partner Excellence decision frameworks, including signals, evidence, and standards of good performance
Advise the squad lead on what to change or stop and drive decisions
Build data applications, monitors, and alerts rather than presentation decks
Use Claude and agents to ship tools
Investigate discrepancies between data and physical operations at sort centres, vans, and shops
Ensure missing data is collected
Prove which interventions work
Help the squad prove every handover in the network within a year
Collaborate with a data team of approximately 30 people across analytics, operational research, and data science

Requirements

What you’ll need

Experience owning fraud, risk or trust decisions end to end, including turning investigations into rules, standards or interventions
Experience owning decision metrics such as false positive rates
Experience running investigations in fraud, risk, financial crime, or trust and safety
Experience distinguishing real signals from noise
Experience having work acted upon by leaders, teams, or engineers
Experience working at sufficient volume for false positive rates to be meaningful, with live rules and consequences when they were wrong
Experience obtaining records from teams that did not report to you
Hands-on fluency in SQL, with or without AI
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