Senior Decision Scientist, Partner Excellence

ERLPhase Power Technologies Ltd.

. Decide which Partner Excellence problems are real and which only appear real before fixes are 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 fraud, risk, and trust decision-making, with a strong focus on data-driven investigations and the ability to implement effective standards and interventions. Proficient in SQL and capable of collaborating within a data team to enhance operational performance and decision metrics.

Highest-signal resume keywords

Fraud Decision-MakingSQL FluencyData InvestigationDecision Metrics OwnershipOperational Research

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData AnalysisDecision Systems DesignEvidence Standards DefinitionData Application Development

Soft Skills

Entrepreneurial DriveProblem-SolvingCollaboration

Tools & Technologies

ClaudeData Monitoring Tools

Industry Keywords

FraudRisk ManagementFinancial CrimeTrust and SafetyDelivery Network

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Decide which Partner Excellence problems are real and which only appear real before fixes are built
Design Partner Excellence decision systems, including signals, evidence standards and definitions of good performance
Direct the squad lead on what to change or stop and obtain decisions
Build data applications, monitors and alerts rather than presentations, using Claude and agents to ship tools
Investigate discrepancies between data and physical operations at sort centres, vans and shops
Get missing data built and prove which fixes worked
Define evidence for handovers across the delivery network
Determine whether delivery failures arise from wrong addresses or failed handovers and place fixes in product, policy or training
Work within a data team of approximately 30 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 and owning decision metrics such as false positive rate
Experience running investigations in fraud, risk, financial crime or trust and safety, and distinguishing real signals from noise
Experience producing work that was acted on 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 getting records created by teams that did not report to you
Hands-on SQL fluency, with or without AI
Strong technical fundamentals and entrepreneurial drive
Appetite to learn a physical operation quickly
No logistics experience required
Must address UK visa sponsorship needs in the application

Benefits

Comp & perks

Equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives