Job Title: Customer Service Automations Specialist Location: Zug Start: 01.02.2025 Johnson & Johnson is currently seeking a Customer Service Automations Specialist to join our CS Centre EMEA Team located in Zug. At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Join us to advance the future of human health and take the first steps toward building a career with a purpose. Position Overview - Tasks & Responsibilities: As an intern in Customer Service Automations you will be a part of our CS Central Team and support our Platform Owner in developing Projects related to machine learning techniqus.Tasks include but are not limited to: + Data Collection and Preprocessing: + Gather and preprocess data from various channels + Ensure data quality and perform exploratory data analysis to identify patterns and trends. + Model Development and Optimization: + Build, train, and validate machine learning models to predict customer needs, preferences, and potential service issues. + Implement natural language processing (NLP) techniques to analyze text-based customer interactions. + Automation and Deployment: + Develop automation scripts for customer query categorization and ticket prioritization. + Work with the development team to integrate machine learning models into existing customer service platforms. + Performance Monitoring and Reporting: + Evaluate the performance of machine learning models and refine them based on feedback and new data. + Create dashboards and reports to present findings and recommendations to stakeholders. + Collaboration: + Work closely with customer service, IT, and data science teams to align machine learning solutions with organizational goals. + Assist in user testing and provide technical support for deploying machine learning solutions. **Qualifications** + Pursuing a degree in Computer Science, Data Science, or a related field. + Knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, or Scikit-learn). + Experience with programming languages such as Python or R. Qualifications - Skills: + Understanding the end-to-end process of leveraging machine learning in customer service management. + Fluent in English. + Strong communication & interpersonal skills. + Familiarity with natural language processing (NLP) techniques and tools. + Strong analytical skills and attention to detail. + Ability to work collaboratively in a team environment and communicate technical concepts to non-technical stakeholders. Our Offering: + 6 months full time internship in an international healthcare company to grow your professional experience, start date 2nd of February 2025 + Exciting and intensive insight into one of the largest MedTech companies in the world + Great team and excellent sense of belonging + Flexible working conditions with the opportunity of 40% remote work if the job allows + Many attractive benefits to support your physical, mental and financial wellbeing. Learn more here. For more than 130 years, diversity, equity & inclusion (DEI) has been a part of our cultural fabric at Johnson & Johnson and woven into how we do business every day. We know that the success of our business – and our ability to deliver meaningful solutions – depends on how well we understand and meet the diverse needs of the communities we serve. Which is why we foster a culture of inclusion and belonging where all perspectives, abilities and experiences are valued and our people can reach their potential. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, ability, or background.