IT Data & AI Intern

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