Senior Decision Scientist, Sales

ERLPhase Power Technologies Ltd.

. Decide which Sales problems are real and which only appear real before a solution is built .

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in B2B pricing strategies and decision-making frameworks, leveraging data applications and analytics to drive sales outcomes. Proficient in SQL and capable of coordinating cross-functional teams to enhance operational efficiency and customer value assessment.

Highest-signal resume keywords

B2B Pricing ExperienceSQL FluencyData Application DevelopmentSales Decision-Making FrameworksForecasting Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData AnalysisUnit EconomicsLifetime Value CalculationCustomer Acquisition Cost Analysis

Soft Skills

Entrepreneurial DriveDecision-MakingCollaboration

Tools & Technologies

ClaudeAI Agents

Industry Keywords

Sales OperationsB2B SalesCommercial DecisionsLogistics OperationsData Validation

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Decide which Sales problems are real and which only appear real before a solution is built
Design Sales decision-making frameworks, including relevant signals, customer or shop value, and success criteria
Advise the sales lead on what to change or stop and secure decisions
Build data applications, monitors, and alerts rather than presentation decks
Use Claude and AI agents to ship decision-support tools
Investigate discrepancies between data and physical operations, including shops and parcel sort centres
Coordinate creation of missing data and validate whether changes worked
Enable Sales to prioritize opportunities using measurable value and forecast quarterly outcomes
Work with analytics, operational research, data science, engineering, and analytics engineering teams

Requirements

What you’ll need

Experience owning B2B pricing or commercial decisions and their associated metrics
Hands-on experience building how a company values a customer or deal, including unit economics, lifetime value, or customer acquisition cost
Demonstrated impact on business decisions, team methods, or sales targeting
Experience getting records created by teams outside your reporting line
Ability to forecast whether a quarter will land and identify early warning signals
Hands-on fluency in SQL
Willingness and appetite to learn physical logistics operations quickly
Strong technical fundamentals and entrepreneurial drive
Must answer whether UK visa sponsorship is needed now or in the future

Benefits

Comp & perks

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