Senior Data Scientist

Quantum

London, United Kingdom

Hybrid

Who this role is best for

Candidates with commercial data science experience and strong communication skills will find this hybrid role in London's analytics team.

Best fit for

Candidates with a track record of deploying models in commercial settings and translating data into actionable insights
— “building and shipping statistical and machine learning models in production, ideally in a commercial or performance-driven setting”
Individuals who excel in end-to-end model infrastructure and are comfortable with Python and SQL
— “Fluent in Python and SQL, and comfortable owning model infrastructure end to end”
Candidates who thrive in collaborative, fast-paced environments and can work with non-technical stakeholders
— “You thrive when working as part of a team”

Things to consider

The role requires a 3-day in-office presence, which may not align with remote-only preferences
— “Hybrid Working (3 days in office)”
Candidates must be able to provide honest evaluations of model effectiveness and avoid over-reliance on AI
— “honest about how to evaluate what actually works”

How to stand out

Highlight experience with real-time campaign optimization and measurable outcomes in your resume and interviews
— “Every campaign is measurable, optimised in real time, and designed to scale”
Demonstrate your ability to turn complex models into clear, non-technical reporting
— “Turn model output into clear, decision-ready reporting that non-technical stakeholders can act on”
Showcase your ability to challenge AI and ensure rigorous model evaluation in your application materials
— “You challenge AI rather than lean on it, using it to move faster without losing rigour”

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

owns models driving forecasting and strategy
builds and evaluates statistical and machine learning models
translates complex models into clear reporting

Typical background

several years of experience in data sciencecommercial or performance-driven setting

Skills & requirements

Required

Data ScienceMachine LearningStatistical ModelingData InfrastructureExperiment DesignModel EvaluationReporting

Preferred

Commercial ExperienceAI Challenge

Stack & domain

PythonSQLMachine LearningStatistical ModelsData InfrastructureModel InfrastructureExperiment DesignModel SelectionReportingLeadershipCommunicationTeamworkPunctualityAttention To DetailData ScienceBusiness AnalyticsForecastingStrategy

About the role

Original posting from Quantum via Ashby

Our Company
At Quantum, we connect global brands with high-intent consumers. We turn intent into action and complexity into clarity.
Our Mission is clear, to help smarter, faster buying decisions. Our vision, to be the world’s most used digital comparison service, delivering value and simplicity to millions.
We drive growth through data-driven affiliate marketing built for performance from day one. Every campaign is measurable, optimised in real time, and designed to scale.
With in-house tech, full-stack analytics, and a compliance-first mindset, we give our partners an edge. We drive confident decisions and growth in regulated and high-growth sectors. We’ve helped ambitious brands grow faster, smarter, and globally.
THE ROLE
Our Business Analytics team is growing! We’re looking for a Senior Data Scientist to join our team in London.
In this role you will own the models that drive our forecasting and strategy, from the data infrastructure behind them to the experiments that prove them out, turning statistical and machine learning work into reporting the business actually acts on.
KEY RESPONSIBILITIES
Own the infrastructure and outcomes of our models, building algorithms and pipelines to merge, manage and interrogate data for tailored reporting
Design and run experiments to test hypotheses and sharpen how we forecast
Select, build and evaluate the most appropriate statistical and machine learning models for each problem
Turn model output into clear, decision-ready reporting that shows how customers and clients interact with our business
Raise the modelling bar across the analytics team, challenging and working alongside AI rather than deferring to it
ABOUT YOU
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, and comfortable owning model infrastructure end to end
Strong on experiment design and model selection, and honest about how to evaluate what actually works
Able to translate complex modelling into clear reporting that non-technical stakeholders can act on
You challenge AI rather than lean on it, using it to move faster without losing rigour
You thrive when working as part of a team
Comfortable in a fast-paced environment
Have excellent written and verbal English skills
Last but not least, you’ll have no ego!
What You’ll Get
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
What’s the next step?
Our hiring process ensures we're recruiting the right people for the role. We ensure that people are as suitable for us as we are for them.
If you like the sound of what we're all about at Quantum and want to join a team where you can make an impact, please apply or contact us at careers@quantum.media.

Source: Quantum careers (Ashby)