Knowledge & AI Optimization Intern at LexisNexis… · Remote

Summary: LexisNexis Risk Solutions is a global leader in information and analytics, and they are seeking a Knowledge & AI Optimization Intern to help advance responsible AI practices and improve user experience. This internship involves maintaining and enhancing the knowledge base and AI-driven systems, collaborating with teams, analyzing data for insights, and contributing to strategic initiatives. Responsibilities: - Maintain and improve the Knowledge Base (KB) by creating, reviewing, and standardizing content for accuracy, clarity, and consistency - Collaborate with cross-functional teams to align knowledge strategies and key performance indicators - Analyze data and customer feedback to identify trends and opportunities for improvement - Curate and validate AI-generated content, ensuring compliance with data privacy, governance, and ethical standards - Support AI optimization tasks such as data cleaning, content tagging, classification, and fact-checking for model training - Lead a capstone project related to evaluating and implementing drive to web strategies across relevant products, and consuming Knowledge Management data, that could lead to query reduction and Customer Satisfaction - Promote responsible AI practices and foster a self-help community through knowledge sharing and process innovation Required Qualifications: - Be currently pursuing a bachelor's or master's degree in data analytics, data science, software engineering, or a related field of study with a graduation date of May 2027 - Demonstrate understanding of AI concepts, machine learning techniques, and Natural Language Processing (NLP) - Possess proficiency in programming languages such as Python and R for AI model development - Have experience with data processing, analysis, and familiarity with big data tools and cloud platforms (AWS, Google Cloud, Azure) - Possess effective communication skills, with the ability to write clearly and concisely - Display a customer-focused mindset and structured approach to problem-solving - Be able to manage multiple priorities and maintain organized processes - Be fluent in English and comfortable with digital tools and emerging technology trends Required Skills: AI concepts, Machine learning, Natural Language Processing, Python Important Skills: Data analysis, Big data tools, Cloud platforms Nice-to-Have Skills: Fluency in English, Effective communication, Customer-focused mindset, Problem-solving, Organizational skills