**Job Description** One of the best-known names in cruising, Princess is the world’s leading international premium cruise line and tour company, carrying millions of guests each year to hundreds of destinations around the globe. We give our guests the Medallion Class experience others simply can’t. The Love Boat promises something for everyone. The Princess Summer Internship Program is a 10-week paid (remote) summer internship opportunity designed to provide exposure and insight to professional careers in the amazing leisure travel, cruise industry. The selected interns will work on departmental projects as well as participate in professional development and enrichment activities. **Essential Functions** + The Data Scientist will be a key contributor to transformative data science initiatives, optimizing operational efficiency and enhancing guest experiences across Princess. + Drives execution of a portfolio of Machine Learning (ML) projects/programs in alignment with and supporting our emerging Strategic Roadmap. Leverage data science tools and techniques to analyze large data sets and develop custom models/algorithms to uncover trends, patterns and insights in the data. + Design, build and launch new data models and visualizations in production, leveraging common development toolkits. Insight discovery: Deliver data insights and drive for adoption through tools (e.g., dashboards, self-serve reporting), memos, and presentations. Analyze data to identify trends, discrepancies, and opportunities for improvement. + Develop and optimize performant database, data model, integration and ETL in data warehouse environments. + Develop and maintain systems for monitoring the performance and impact of data science initiatives. Provide regular reports and updates to management. + Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, Python, Power BI). Format, re-structure, and validate data to ensure quality. Independently design, build and launch new data extraction, transformation and loading processes in production, supporting others around efficient queries. Support existing processes running in production and implement optimized solutions. + Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics. + Data Collection and Analysis: Collect and analyze data from various sources to identify trends, patterns, and opportunities related to guest experience and operational efficiency. Work closely with internal stakeholders to understand data requirements and ensure data accuracy. Enhance data collection to capture valuable data necessary to analyze operations and construct a data warehouse to integrate data from multiple systems to optimize further data analytics and ensure data quality. + Promote and role-model best practices of data science, engineering, and communication throughout the organization. + Work closely with cross-functional teams, including marketing, finance, and operations, to understand their data needs and provide actionable insights. Serve as a point of contact for data-related inquiries and support. + Through team collaboration and individual contribution, this position is responsible for delivering complex data projects that will ultimately drive brand performance, continuous improvement, and accountability to the guest experience within the fleet. + Stays updated with the latest trends and advancements in data science, machine learning, and AI. Continuously improve existing models and processes by experimenting with new techniques and technologies. **2025 Program Dates** + Program runs 10 weeks from June 9th - August 18th **Eligibility** + Eligible candidates are enrolled in a four-year accredited undergraduate program (where they are at least a rising junior) or in a graduate/Ph.D. program and have a GPA of 3.0 or higher. + MUST NOT be a graduating senior in the summer 2025. **Compensation** + Undergraduate - $25.00/hr, Graduate - $35.00/hr, Ph.D. - $45.00/hr **Requirements** + Bachelor’s degree or Master’s degree in Data Science, Computer Science, Engineer, Information Technology or equivalent educational or job experience, master’s degree preferred. + 2 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years of work experience with a master’s degree).Great research skills. + Proficiency using MS office Suite including Outlook & MS Teams. + Strong SQL skills and ability to create queries to extract and build tables and database concepts required. + Extensive experience with SQL and database concepts required. + Proficiency in data visualization tools such as Tableau, Power BI, or equivalent. + Experience with data orchestration/ETL tools (e.g. Airflow) **Majors Preferred** + STEM fields, including Data Science, Computer Science, Statistics, Analytics, Engineer, Information Technology or equivalent degrees. **Skills Preferred** + Experience in data science or engineering roles. + Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices. + Experience writing ETL processes. + Proven experience with at least one major RDBMS. + Experience with programming languages (e.g. Python, Pyspark, R). + Excellent analytical and problem-solving abilities. + Strong experience with database systems, both SQL and NoSQL, and their optimization. + Ability to work independently, remotely and self-manage + Well organized and able to communicate effectively with colleagues and managers. + The types of duties the students will perform will vary and may require some technical tasks, projects and/or work that may require specific proficiencies, technical abilities and/or computer skills. **What You Can Expect** + Gain valuable experience. Gain confidence. + Explore a new career path. + Opens the opportunity to a future full-time job after graduation. + Develop and refine skills. + Network with professionals in the field. + Develop an understanding of the type of working environment, field and industry that align with your career goals. + Obtain job-related skills and experiences that will enhance your qualifications for future opportunities. **Deadlines** + Our 2025 application period will close on November 30, 2024. **Our Culture… Stronger Together** Our highest responsibility and top priority is compliance, environmental protection and the health, safety and well-being of our guests, the people in the communities we touch and serve, and our shipboard and shoreside employees. Please visit our site to learn more about our Culture Essentials, Corporate Vision Statement and our Core Values at: **https://www.princess.com/aboutus/culture-framework/** Princess is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. **Americans with Disabilities Act (ADA)** Princess will provide reasonable accommodations with the application process, upon your request, as required to comply with applicable laws. If you have a disability and require assistance in this application process, please contact recruiting@hollandamericagroup.com **\#PCL**