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About the Role

Lead a commercially driven Data Science function that delivers measurable improvements in customer acquisition, marketing performance, and long-term business growth. You will lead a growing team of Data Scientists while partnering closely with Engineering, Analytics, Product, and Commercial teams to ensure predictive models become trusted, production-ready products that drive measurable commercial outcomes.

Responsibilities

Lead the strategy and delivery of predictive models that improve customer acquisition, marketing performance, and long-term commercial value, shaping capabilities including lifetime value modelling, propensity modelling, customer segmentation, forecasting, and value-based bidding.
Partner with Marketing, Product, and Commercial teams to apply Data Science to real business problems, defining how predictive analytics, experimentation, and AI improve campaign performance, customer understanding, and strategic decision making.
Work closely with Engineering and ML Ops to ensure models become reliable, production-ready products, championing reproducible experimentation, scalable deployment, model monitoring, retraining strategies, and continuous improvement.
Lead and develop a growing team of Data Scientists while building trusted relationships across the business, translating complex modelling into clear commercial recommendations and influencing senior stakeholders.
Represent the company in strategic conversations with technology partners and stay connected to advances in AI, machine learning, and marketing science, evaluating emerging technologies and bringing new ideas into the organization.

Requirements

Experience leading commercial Data Science, Marketing Science, or Decision Science teams.
Strong expertise in predictive analytics, customer analytics, machine learning, and statistical modelling.
Experience applying Data Science to marketing performance, customer acquisition, lifetime value, or value-based bidding.
Experience productionizing machine learning solutions within modern cloud environments and working closely with Engineering and ML Ops teams.
Strong understanding of SQL, Python, and modern machine learning frameworks.
Experience working with Google Ads, Meta, or other major advertising platforms.
Excellent stakeholder management and communication skills, with the ability to influence both technical and commercial audiences.
Experience building and developing high-performing Data Science teams.
Strong commercial judgment, balancing technical excellence with measurable business impact.
A pragmatic approach to AI, applying emerging technologies where they create genuine commercial value.
Experience within affiliate marketing, digital publishing, or lead-generation businesses.
Experience working in financial services, insurance, or regulated industries.
Experience working directly with Google or Meta Data Science teams.
Experience with attribution modelling and marketing measurement.
Experience building optimisation algorithms for DSPs or advertising platforms.
Experience with causal inference, experimentation frameworks, or incrementality testing.
Experience forecasting marketing or commercial performance.
Experience with Vertex AI or equivalent cloud-based machine learning platforms.

Skills

Data Science
Machine Learning
Predictive Analytics
Customer Analytics
Statistical Modelling
Marketing Performance Analysis
Customer Acquisition
Lifetime Value Modelling
Value-Based Bidding
SQL
Python
Google Ads
Meta
Stakeholder Management
Communication
Commercial Judgement
AI
Attribution Modelling
Marketing Measurement
Causal Inference
Experimentation Frameworks
Incrementality Testing
Forecasting
Vertex AI

Location

Remote

Work Type

Remote
Full-time

Experience Level

Leadership

About the Company

Our Data & Analytics organisation builds the products, platforms and intelligence that power every marketing, product and commercial decision across the business.

Equal Opportunity

Forbes Advisor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.