Integra is a boutique economic consulting and forensic analytics firm that works with government agencies and private entities to identify financial fraud. Integra is hiring quantitatively-skilled students/graduates with data science, data analytics, or software development experience who are interested in translating their academic interests into the real-world applications. Our team leverages a variety of data science/analytics techniques to extract meaningful insights from large datasets. As an intern you will develop tools used to collect large data sets, automate data pipelines, and perform cloud-based analytics. You will additionally gain experience at all stages of the data lifecycle in a professional environment.

Responsibilities

Design, develop, and maintain existing tools/scripts for retrieving, ingesting, and processing data in a cloud environment
Build data pipelines and transform data to support usage in econometric analysis
Work with our team to identify needs, design and implement solutions, and test results
Apply appropriate data mining, analytics, or NLP techniques to verify integrity of and glean information from large datasets
Document processes and present results to our team

Required Qualifications

Currently enrolled in a PhD or Master's degree program in Data Science, Data Analytics, Computer Science, Software Engineering, Applied Math, or other quantitative fields
Experience scripting/programming in Python (3.1x)
Experience designing, implementing, or interfacing with SQL databases
Experience with data cleaning and preparation
Experience interfacing with REST APIs
Basic knowledge of cloud computing / storage technologies
Knowledge of statistical methods and machine learning techniques

Preferred Qualifications

Strong background in SQL and Python as applied to data science, analysis, engineering, or warehousing tasks
Experience with cloud based data warehousing tools (e.g., Google BigQuery, AlloyDB, CloudSQL, Amazon Redshift / Aurora, Azure Data Warehouse/Synapse, Snowflake)
Experience using Github for version control
At least one Python based project available for our team to review

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Fall 2024 (August - December) Full Time (40 hours/week)
Fall 2024 (August - December) Part Time (10-20 hours/week)

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Data Analytics and Engineering Intern

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