10 ott - Milano
LG Electronics
Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier, better life for all.
With a rich history spanning over six decades and a global presence of more than 100 subsidiaries, we operate on a truly global scale. Since our establishment in 1958, our dedication to enhancing lives worldwide through innovative products has remained unwavering. Our business domains include Home Appliance & Air Solution, Home Entertainment, Vehicle Components Solutions, and Business Solutions.
Our management philosophy, ""Jeong-do Management,"" embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom, fostering a collaborative work environment.
Join us and become a part of a company that is not just about creating solutions for a better life, because at LG, Life's Good.
We are looking for passionate and curious graduates who bring energy, a learning mindset, and interest in markets, data, and product management activities within a global organization.
INTERNSHIP TRACKS – PRODUCT MARKETING
- Support market and competitor analysis to contribute to product positioning and strategic decisions
- Help develop customer personas and journey maps to improve messaging and targeting
- Analyze market trends, consumer demand patterns, and growth opportunities
- Support New Product Introduction (NPI) activities, including product materials and launch preparation
INTERNSHIP TRACKS – TRADE MARKETING
- Support the development of channel strategies and promotional calendars
- Assist in in-store activations and help evaluate campaign effectiveness
- Monitor sell-out data and field activities to support strong retail execution
- Contribute insights to improve store-level and channel performance
INTERNSHIP TRACKS – DIGITAL DATA SCIENCE & AI
- Support the integration and analysis of internal and external data from digital platforms, e-commerce, sales reporting, and other business sources
- Help develop reports, dashboards, and data visualizations to identify trends and support business decisions
- Contribute to the analysis of digital marketing, CRM, and e-commerce performance, providing actionable insights to improve results and ROI
- Support AI and machine learning projects related to customer segmentation, churn analysis, next-best-action modelling, and sales and marketing optimization
What you must-have
- Final-year student or recent graduate in Economics, Marketing, Business Analytics, Data Science, Statistics, Computer Science, Engineering, or related fields
- Availability for a full-time, on-site internship
- Fluent in English and Italian, both spoken and written
- Strong analytical mindset and curiosity towards data and insights
- High level Excel skills, data structuring,
and analyses
- Ability to learn quickly and adapt in a dynamic environment
- Proactive, hands-on attitude with willingness to take ownership of tasks
- Strong attention to detail and a structured way of working
- Team-oriented mindset with good communication skills
- Interest in marketing, consumer behaviour, digital technologies, and business dynamics
Nice if you have
- Familiarity with KPIs, dashboards, data visualization, or performance-tracking tools
- Basic understanding of consumer insights, market analysis, customer segmentation, or predictive analytics
- Foundational knowledge of Python, SQL, or other data-analysis tools
- Interest in AI, machine learning, and their application to marketing, CRM, e-commerce, and sales
- International mindset and interest in multinational environments
- Previous internship, university project, or case study related to marketing, data, analytics, or AI
What you’ll gain
- Practical experience across product marketing, trade marketing, digital analytics, and data science
- Exposure to real business applications of AI and machine learning
- Continuous learning through mentorship and involvement in real business projects
- Experience working with data, dashboards, and actionable business insights
- Exposure to cross-functional and international teams
- A dynamic and collaborative environment where data, technology, creativity, and ideas come together
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, gender, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any characteristic protected by applicable federal, state, or local law.
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