2 months ago

Lead Data Scientist - Marketing

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead data science initiatives for Wise Marketing, building predictive models (LTV, MMM) to identify growth opportunities, prioritize marketing investments, and target audiences. Collaborate with analysts and marketers to translate model insights into actionable growth strategies across Organic and Paid Acquisition, shaping Wise’s cross-border money movement platform.

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design and implement predictive models (e.g., LTV, MMM) to support marketing growth and budgeting decisions.
•Collaborate with marketing and analytics teams to translate model outputs into actionable campaigns and priorities.
•Maintain and tune existing models used by multiple marketing teams, and evaluate new modeling ideas.
•Explain model results and business implications to non-technical stakeholders to inform strategy.
•Partner with Data Analysts to ensure effective adoption and usage of models across the marketing organization.

Pay and Benefits

Salary: GBP 90,500 - 127,000 annually

Key Requirements

•Develop predictive models (LTV, Marketing Mix Models) to guide growth investments and reduce measurement uncertainty.
•Model customer behavior data and product usage to identify target audiences and inform marketing strategy.
•Collaborate with Data Analysts to help them understand and use the models you build.
•Build and maintain models used across the marketing tribe; evaluate new ideas and communicate model insights clearly.
•Directly partner with marketing teams (Organic and Paid Acquisition) to drive impact for millions of people and businesses.

Experience:Marketing analyticsData science

Skills:StatisticsMachine learningData analysisModeling

Languages:English

Company Brief

Wise

Wise (formerly TransferWise) is a London-based fintech that provides low-cost international money transfers, multi-currency accounts and payment infrastructure for individuals and businesses worldwide.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 2011

Glassdoor: 3.8

Website LinkedIn Glassdoor

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Wise

2 months ago

Lead Data Scientist - Marketing

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design and implement predictive models (e.g., LTV, MMM) to support marketing growth and budgeting decisions.
•Collaborate with marketing and analytics teams to translate model outputs into actionable campaigns and priorities.
•Maintain and tune existing models used by multiple marketing teams, and evaluate new modeling ideas.
•Explain model results and business implications to non-technical stakeholders to inform strategy.
•Partner with Data Analysts to ensure effective adoption and usage of models across the marketing organization.

Pay and Benefits

Salary: GBP 90,500 - 127,000 annually

Key Requirements

•Develop predictive models (LTV, Marketing Mix Models) to guide growth investments and reduce measurement uncertainty.
•Model customer behavior data and product usage to identify target audiences and inform marketing strategy.
•Collaborate with Data Analysts to help them understand and use the models you build.
•Build and maintain models used across the marketing tribe; evaluate new ideas and communicate model insights clearly.
•Directly partner with marketing teams (Organic and Paid Acquisition) to drive impact for millions of people and businesses.

Experience:Marketing analyticsData science

Skills:StatisticsMachine learningData analysisModeling

Languages:English

Company Brief

Wise

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 2011

Glassdoor: 3.8

Website LinkedIn Glassdoor