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Quantum

Senior Data Scientist

Quantum

. Own the infrastructure and outcomes of models driving forecasting and strategy .

Posted 9/30/2026full-timeLondon • United KingdomSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in building and deploying statistical and machine learning models, with a strong focus on experiment design and data-driven reporting. Capable of translating complex analyses into actionable insights for non-technical stakeholders while maintaining analytical rigor.

Highest-signal resume keywords
Statistical Model DevelopmentMachine Learning Model DeploymentPython ProgrammingSQL ProficiencyExperiment Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Statistical Model DevelopmentMachine Learning Model DeploymentPython ProgrammingSQL ProficiencyExperiment DesignData ManagementAlgorithm DevelopmentModel EvaluationReportingData Analysis
Soft Skills
Team CollaborationExcellent CommunicationAdaptabilityAnalytical RigorNo Ego
Industry Keywords
ForecastingPerformance-Driven SettingDecision-Ready ReportingAI InteractionCommercial Analytics

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Own the infrastructure and outcomes of models driving forecasting and strategy
  • Build algorithms and pipelines to merge, manage and interrogate data for tailored reporting
  • Design and run experiments to test hypotheses and improve forecasting
  • Select, build and evaluate appropriate statistical and machine learning models
  • Turn model output into clear, decision-ready reporting showing how customers and clients interact with the business
  • Raise the modelling standard across the analytics team
  • Work alongside AI while maintaining analytical rigour

Requirements

What you’ll need
  • Several years building and shipping statistical and machine learning models in production, ideally in a commercial or performance-driven setting
  • Fluent in Python and SQL
  • Comfortable owning model infrastructure end to end
  • Strong on experiment design and model selection
  • Able to evaluate what actually works
  • Able to translate complex modelling into clear reporting that non-technical stakeholders can act on
  • Able to challenge AI rather than lean on it, using it to move faster without losing rigour
  • Thrive when working as part of a team
  • Comfortable in a fast-paced environment
  • Excellent written and verbal English skills
  • No ego

Benefits

Comp & perks
  • Private Health Care (Bupa)
  • Hybrid Working (3 days in office)
  • Travel Insurance
  • Competitive Base Salary
  • Company Bonus Scheme
  • Paid for AI Subscription (Claude / ChatGPT / Gemini)
  • Market-Leading Training Programme
  • Recognition & Reward Scheme
  • Annual Company Conference
  • Regular Happy Hours & Team Lunches
  • Free Coffee, Drinks & Snacks