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Copywriter Marketing Communications jobs at Apple in United Kingdom, London

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United Kingdom
London
15 jobs found
25.08.2025
A

Apple Senior Data Scientist - Apple Pay Marketing United Kingdom, England, London

Limitless High-tech career opportunities - Expoint
Description:
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.- 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.
  • 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
  • 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
Expand
21.07.2025
A

Apple Senior Marketing Insights Analyst - Apple Ads EMEA United Kingdom, England, London

Limitless High-tech career opportunities - Expoint
Description:
  • A postgraduate degree in Business, Marketing, Economics, or a related field or equivalent experience is beneficial.
  • Significant demonstrable experience in advertising research and analytics, ideally at a technology platform, media company, or advertising agency.
  • Proven experience collecting, analysing and interpreting third-party data (e.g. Comscore, Nielsen, GWI, MRI/Simmons), first-party data (e.g. advertising performance and media usage data), and custom market research (e.g. ad effectiveness, brand lift, usage & attitude studies).
  • Experience crafting market research studies.
  • Advanced knowledge of search, display, and video ad formats, programmatic advertising, and the evolving digital media landscape.
  • Skilled at building relationships, discussing and debating ideas in a collaborative way, developing an informed point of view, and driving quality work across a geographically distributed team.
  • Extraordinary communication, presentation, storytelling, and data visualization skills, with proven ability to simplify complex information into actionable and compelling insights.
  • Effective project leader who is proactive, self-motivated, and excels at moving initiatives forward by navigating ambiguity and leading through influence.
  • High attention to detail, team-orientation, and an ability to work under tight deadlines.
  • Experience collaborating with technical and non-technical teams to develop best in class analytical tools and data products.
  • Experience querying large datasets using SWL and developing reports and dashboards with Tableau or similar data visualization tools.
  • Familiarity with database architecture and data stores like AWS and Snowflake.
Expand
20.07.2025
A

Apple Senior Data Scientist - Apple Pay Marketing United Kingdom, England, London

Limitless High-tech career opportunities - Expoint
Description:
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.- 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.
  • 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
  • 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
Expand
08.07.2025
A

Apple Marketing Data Scientist - Apple Pay United Kingdom, England, London

Limitless High-tech career opportunities - Expoint
Description:
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.- 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.
  • 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
  • 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
Expand
07.06.2025
A

Apple Digital Partner Communications Manager United Kingdom, England, London

Limitless High-tech career opportunities - Expoint
Description:
  • 7+ years experience in marketing communications
  • Experience in brand communications - from strategy to execution to analysis of results
  • Experience in digital marketing and CRM strategy & execution
  • Experience in international account management and/or strategy at a advertising agency or in-house marketing communications for a global brand for consumer and/or business audiences.
  • Ability to delve deep into a partner’s business, marketing strategy and consumer insights, to understand challenges and find opportunities.
  • Deep understanding of digital platforms (social, eCRM, e-commerce platforms, content, performance marketing, digital in-store) and how they can be leveraged to deliver the most compelling product experience throughout the customer journey.
  • Passion for great work, seeing potential and nourishing it, with a tremendous ability to influence both internal and external stakeholders to drive the work forward.
  • Passion and eagerness to drive thoughtful strategy, build innovative communication plans and develop great creative and integrated campaigns.
  • Thrive as part of a cross-functional team, flexible and adaptable in a dynamic environment as a member of a high-performing team, yet also have the ability to lead.
  • You can confidently build rapport, credibility and influence across multiple stakeholders in a highly matrix’d organization.
  • Experience in understanding business and product strategy and consumer insights, to build a global communications strategy for partners.
  • Bachelor’s degree, MBA or advanced business degree
Expand
Limitless High-tech career opportunities - Expoint
Description:
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.- 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.
  • 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
  • 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
Expand
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