*This internship does not offer the ability to convert to a full-time position.

During this internship, students will work on new Data Science and Machine Learning initiatives - with business impact. Students will join a small, highly collaborative team to create the next generation of data products and solve real-world problems using the latest machine learning/intelligence tools and techniques.

Successful candidates will be curious, independent thinkers who are excited by challenges and driven by building great products. They will play a key role in developing new product ideas that will help grow Nasdaq’s Intelligence business.*

• Plan, develop, and apply leading-edge analytic and quantitative tools and modeling techniques to help Nasdaq clients gain insights and improve decision-making
• Review internal and external analytical techniques, processes, and tools - to improve efficiency and better serve Nasdaq clients worldwide
• Work closely with product sponsors to understand business needs and propose solutions
• Collaborate with Data Engineers and Software Developers to develop experiments and deploy solutions to production
• Use domain knowledge and analytical expertise to suggest new product ideas
• Rapidly conduct experiments to validate new product ideas. Write research reports describing the experiment conducted, results, and findings. Based on these results, recommend actions to technology, product, and senior management
• Contribute ideas and constructive feedback to the tech and business teams
• Take ownership of new projects and initiatives
• Stay current on technological and analytical trends
• Be passionate about experimentation and testing new ideas
• Maintain a positive attitude
• Motivate and coach other members of the team

Skills Required:

• Excellent problem solving ability
• Fluency in current analytical techniques and machine learning algorithms
• Familiarity with Big Data technologies and concepts: Hadoop, Spark, Pandas, data frames, etc
• Good Programming Skills: Python, Java, R, SQL
• Excellent verbal and written communication
• Business Acumen and Understanding
• Some familiarity with Data Visualization techniques and technologies: matplotlib, ggplot, etc

Preferred Skills:

• Familiarity with financial data sets and use cases
• Excellent programming skills
• Time series analysis and complex event processing
• Experience writing quantitative research for peer review
• Proficiency communicating complex concepts to technical and non-technical audiences

Nasdaq's mission is to fuel the world’s economic growth one investor, one company, one market at a time. Nasdaq connects buyers and sellers, visionaries and experts, dreamers and doers to transform the global economy.