Job Summary

We are seeking hands-on interns who can work and learn data analysis & data science using industry platforms such as Snowflake, Dataiku, Alteryx, Tableau, PowerBI. Learn to build AI/ML models to analyze and solve complex data problems.

What Will You Learn

• Good understanding of data analytics, data science and AI/ML modelling
• Researching and analyzing large data sets and building machine learning models, including prototyping and measuring their performance
• Data analysis to identify patterns and insights, and use visualization tools to present their findings
• Collaboration with other team members, including data scientists and analysts to solve data-driven challenges

Responsibilities

Specific tasks, duties, essential functions of the job

• Design, construct, install, and maintain efficient and scalable data pipelines for ingesting, processing, transforming and storing large volumes of structured and unstructured data
• Partner with Information Security teams to ensure data is secure and in compliance with GDPR, CCPA, Data Privacy, and data retention policies
• Work with IT and data teams to implement data automation for ingestion, preparation, transformation and presentation using tools such as Dataiku, Alteryx, Tableau and PowerBI
• Work closely with business and IT stakeholders to explore and build AI/ML models for data intelligence for specific use cases
• Assist in the creation of technical specifications, system data flows, and concepts for large cross-functional data needs focusing on business processes, data flows, and integration standards
• Work closely with IT team to help build data governance framework, data catalogs & lineage, and data privacy

Qualifications

Experience and Education

• Enrolled in a bachelor’s or master’s degree in Information Systems, Computer Science, Business Analytics, or related field
• Knowledge of Snowflake, Python, Alteryx, DBT, Dataiku platforms for data management and automation
• Knowledge of BI tools such as Tableau, PowerBI and Alteryx
• Good understanding of data architecture principles, methodologies, and data governance framework
• Understanding of predictive modelling, NLP in Snowflake or equivalent
• Strong analytical, statistical and problem-solving skills to address complex data challenges
• Understanding of mobile & web applications automated and manual QA process and automation tools like Selenium, SonarCloud, BrowserStack, X-Ray or equivalent
• Exposure to application development lifecycle and frameworks
• Eager to learn how AI and automation can improve business engagement workflows