Senior Marketing Scientist

🔒 Confidential Employer
Posted 28 April 2026
LOCATION
London
TYPE
Full-time
LEVEL
Mid-Senior level
SALARY
£120,000 / year
CATEGORY
Fintech
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Data Analytics SQL Python R dbt Experimentation Frameworks A/B testing Google AdWords

FULL DESCRIPTION

Senior Marketing Scientist

[Employer hidden — view at passion-project.co.uk]

London

Salary not provided

Plus equity

Hybrid (3+ days a week in office)

Mid and Senior level

Who you are

  • 3+ years of experience in data analytics, ideally within a product-led or high-growth tech environment
  • Deep expertise in analytical methods including funnel optimisation, segmentation, cohort analysis, LTV modelling, and regression techniques
  • High proficiency in SQL and strong command of one or more analytics tools or statistical packages (e.g., Python, R)
  • Hands-on experience with DBT and familiarity with data modelling best practices
  • Skilled in experimentation frameworks (A/B testing, hypothesis testing, causal inference)
  • Demonstrated ability to turn ambiguous problems into structured, hypothesis-driven, data-supported insights
  • Excellent communication skills with experience influencing cross-functional stakeholders and product leaders

Desirable

  • Experience in credit marketing (credit cards, loans, car finance etc.)
  • Experience with paid media platforms (Google Ads, Meta, Tiktok etc.) and working with marketing teams
  • Experience building or contributing to Marketing Mix Models or incrementality testing frameworks
  • Familiarity with data instrumentation and schema design in product development cycles

What the job involves

Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of [Employer hidden] from day 1

Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo

Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting

We are looking for an experienced Senior Marketing Scientist to run marketing and growth analytics in our rapidly evolving multi-product app

As [Employer hidden] scales its products across lending, engagement features and other financial services, the complexity and volume of data-driven decisions have grown exponentially

This role is central to unlocking insights that will shape our drive acquisition efficiency and fuel product innovation, overseeing the full breadth of digital and non-digital channels across multiple products

You will be the senior analytical voice across our Zable direct marketing initiatives - owning end-to-end marketing funnel data, capture requirements, insight generation, experimentation strategy, and advanced analytics projects

Beyond individual contribution, you will instill best practices and be a key thought partner to product, growth, and engineering leaders

Analyse marketing campaign performance across multiple channels and conduct analyses to identify trends and opportunities for optimisation

Structure and execute high-impact analyses in acquisition funnels to inform marketing spend and product evolution

Drive experimentation rigor: design, implement, and analyze A/B tests, multivariate experiments, and cohort studies

Co-operate with product and credit teams to ensure mid to deep funnel performance is improved

Influence data architecture by contributing to schema design that enable more insights

Build high quality, scalable pipelines and transformations that increase interpretability of data and increase the teams’ agility

Serve as a thought partner to Product Managers and Credit Managers - ensuring analytical insight drives roadmap prioritisation and credit assessments

Collaborate with the creative and design team to deepen insights at the creative and campaign level to enhance prioritisation of their ideas

Application process

  • Screening call
  • Take home task and cognitive tests
  • Case study
  • Final Interview
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