Katten has an opportunity for a Data Science Intern to work, learn, and gain experience under the tutelage of its resident Data Scientist. You can put your skills into practice to solve actual business problems in a new and growing field of analytics.
Requirements
- Required experience, or have familiarity, with some or all of the following: Basic data science tools (Python), and basic data science concepts (probability, statistics, hypothesis testing, machine learning, data visualization)
- Preferred experience, or have familiarity, with some or all of the following: ETL tools and SQL queries, visualization tools (Power BI or Tableau), and Natural Language Processing techniques
Responsibilities
- Write code to automate data processing and generate insights.
- Perform exploratory data analysis.
- Apply machine learning to develop predictive models, statistical techniques to test and generate hypotheses.
- Collect, combine, and clean data and also perform visualization and other analysis.
- Generative AI projects involving used of prompt templates, LangChain, and otherwise matching technology to workflows.
Other
- Must be pursuing a bachelor's or graduate degree in data science, statistics, computer science, engineering, applied mathematics or a similar quantitative analytics field.
- The Data Science Intern maintains professionalism and strict confidentiality in all client and firm matters.
- Displays intelligence, creativity, resilience, and persistence in solving varied, complex, and non-routine problems.
- Comfortable working both independently and in diverse teams.
- Excellent interpersonal, verbal, and written communication skills. Ability to communicate with courtesy and diplomacy, efficiently follow written and verbal instructions, provide information, and maintain effective relationships with a diverse group of attorneys, clients, staff, and outside contacts.
- Displays excellent time management and project management skills to meet objectives and deadlines.
- Able to effectively distill complex information, synthesize, simplify, and present to firm Management, attorneys, and business professionals.
