AI & Digital Marketing Internship

Visual Earth Sdn Bhd; Hong Kong; On-site; HKD 420,000 - 780,000; Full time

Job summary

Visual Earth Sdn Bhd is seeking professionals to drive AI-powered content creation and data-driven marketing initiatives in Hong Kong. You will employ tools like Python, Excel, Google Analytics, and Power BI to analyze data, build dashboards, and support campaign optimization.

The role involves developing AI-generated content, exploring ML for personalization, and collaborating with product/tech teams on AI features and user experiences to enhance customer engagement.

Responsibilities

• Utilize AI tools such as ChatGPT, Midjourney, Runway, Canva AI, and other emerging platforms to create engaging marketing content.
• Generate AI-powered images, videos, animations, and promotional materials.
• Explore generative AI applications for marketing, branding, and customer engagement.
• Research and implement AI tools to automate workflows and improve operational efficiency.
• Collect, clean, organize, and analyze marketing, customer, and product-related datasets.
• Apply statistical analysis and data visualization techniques to identify patterns, trends, and actionable insights.
• Develop dashboards and reports using Python, Excel, Google Analytics, Power BI, or similar tools.
• Support the development of predictive models for customer behavior, market trends, and campaign performance.
• Explore machine learning applications for customer segmentation, personalization, and product recommendations.
• Assist in analyzing anonymized sensor-generated data from TechPup's smart wearable products to identify potential health, activity, and behavioral patterns.
• Support data-driven decision-making across product development, marketing, and business strategy.
• Assist in developing and executing digital marketing strategies for TechPup's product launches.
• Support Meta Ads, Google Ads, SEO, and email marketing campaigns.
• Analyze key performance indicators, including engagement, conversion rates, customer acquisition cost (CAC), and return on advertising spend (ROAS).
• Conduct A/B testing and evaluate campaign effectiveness.
• Research competitors, market trends, customer segments, and emerging technologies.
• Use data insights to optimize marketing strategies and improve customer acquisition.
• Research AI-powered automation tools for marketing, analytics, and business operations.
• Experiment with machine learning models and AI-driven workflows.
• Identify opportunities to integrate data science into customer engagement and business growth strategies.
• Collaborate with the product and technical teams on AI-powered features and personalized user experiences.

Tools

Python

Excel

Google Analytics

Power BI

Job description

• Artificial Intelligence & Content Creation
• Utilize AI tools such as ChatGPT, Midjourney, Runway, Canva AI, and other emerging platforms to create engaging marketing content.
• Generate AI-powered images, videos, animations, and promotional materials.
• Explore generative AI applications for marketing, branding, and customer engagement.
• Research and implement AI tools to automate workflows and improve operational efficiency.
• Data Science & Analytics
• Collect, clean, organize, and analyze marketing, customer, and product-related datasets.
• Apply statistical analysis and data visualization techniques to identify patterns, trends, and actionable insights.
• Develop dashboards and reports using Python, Excel, Google Analytics, Power BI, or similar tools.
• Support the development of predictive models for customer behavior, market trends, and campaign performance.
• Explore machine learning applications for customer segmentation, personalization, and product recommendations.
• Assist in analyzing anonymized sensor-generated data from TechPup's smart wearable products to identify potential health, activity, and behavioral patterns.
• Support data-driven decision-making across product development, marketing, and business strategy.
• Assist in developing and executing digital marketing strategies for TechPup's product launches.
• Support Meta Ads, Google Ads, SEO, and email marketing campaigns.
• Analyze key performance indicators, including engagement, conversion rates, customer acquisition cost (CAC), and return on advertising spend (ROAS).
• Conduct A/B testing and evaluate campaign effectiveness.
• Research competitors, market trends, customer segments, and emerging technologies.
• Use data insights to optimize marketing strategies and improve customer acquisition.
• Research AI-powered automation tools for marketing, analytics, and business operations.
• Experiment with machine learning models and AI-driven workflows.
• Identify opportunities to integrate data science into customer engagement and business growth strategies.
• Collaborate with the product and technical teams on AI-powered features and personalized user experiences.