Senior Data Scientist - Apple Pay Marketing

Apple Inc.; London; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading technology company is seeking a Senior Data Scientist for its Apple Pay Marketing team based in London. In this role, you will be responsible for analyzing marketing campaign performance and providing insights to enhance strategy and user experience. The ideal candidate will have significant expertise in data analytics, SQL, and Python, along with strong communication skills. You will work collaboratively across functions to ensure effective stakeholder engagement and data-driven decision-making.

Qualifications

• Relevant background in Strategy & Planning, Analytics, or Data Science.
• Outstanding verbal and written communication skills.
• Professional experience with SQL and Python.

Responsibilities

• Perform diagnostic and causal analyses to optimize marketing campaigns.
• Collaborate with marketing teams to understand goals and define success metrics.
• Design and run experiments to evaluate marketing strategies and product features.

Skills

Communication

Strategic thinking

Data Analysis

Stakeholder Management

Education

Degree in Analytics, Data Science, or Marketing

Tools

SQL

Python

Tableau

Job description

Senior Data Scientist - Apple Pay Marketing

London, England, United Kingdom Software and Services

Description

The Data Scientist will play a key role in enabling insights for marketing campaign performance. This individual will provide measurement and campaign optimization insights for Apple Pay globally, which will inform and shape marketing strategy and user experience across the Apple Pay ecosystem. The successful candidate be a thought partner to the marketing team, will work closely with the collaborators to understand their goals and critical metrics, and then analyze data to provide actionable recommendations.Our culture is about getting things done iteratively and rapidly, with open feedback and discussion. We believe analytics is a team sport, but we strive for independent decision-making and taking smart risks.Data Scientist's day-to-day activities will include, but not be limited to:- Perform diagnostic analyses, including ML/statistical modeling and causal inference analyses, to quantify the lift of marketing campaigns.- Analyze marketing campaign performance across channels using sophisticated statistical and econometrics models to derive actionable insights.- Conduct descriptive analysis and deep dives in large-scale data to identify key insights and opportunities that will craft the future of marketing strategy and user experience.- Collaborate across functions with marketers and business partners to define hypotheses and success metrics.- Design and run experiments (A/B, multivariate) to evaluate new product features and marketing strategies, and use statistical methods to ensure valid and reliable results.- Supervise experiment performance, conduct interim analyses, and communicate findings clearly to technical and non-technical audiences.- Build data/model pipelines to automate recurring data pull and modeling processes.- Leverage Tableau and Keynote to visualise insights and deliver results in business presentations and dashboards.

Minimum Qualifications

• Relevant background in Strategy & Planning, Analytics, Data Science
• Stakeholder Management: Outstanding verbal and written communication skills.
• Strategic thinking and a consultative approach
• Programming: Professional experience with SQL and Python.
• Visualisation: Proven experience with Tableau for data visualisation and dashboard development
• Prior professional experience in financial products and services
• Strong experience in Business Analytics and Consulting

Preferred Qualifications

• Proven experience in marketing, advertising, or customer analytics
• Data handling: Fluency with SQL queries in large and complex fragmented datasets and relational databases.
• Statistics: Expertise in causal inference modeling and advanced statistical/ econometrics models, including regression and time series modeling.
• Degree in Analytics, Data Science, Marketing or similar