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William Blair - Chicago, IL
posted 2 months ago
About the position
William Blair is offering a 12-week internship program for graduate students in the summer of 2025, focusing on technology careers in data science. This program aims to promote diversity in the tech field by targeting high-performing individuals from underrepresented backgrounds, including women in technology-related programs. Interns will engage in various projects involving statistical analysis, machine learning, data visualization, and data engineering, while also participating in training, community service, and social events.
Responsibilities
- Work on multiple data science, machine learning and data engineering projects in Azure cloud and SPARK environment
- Assemble large, complex data sets that meet functional / non-functional business requirements
- Work with large, complex data sources to derive actionable business insights with an aim of increased ROI
- Develop, test and deploy predictive models using various machine learning algorithms and translate results into business recommendations
- Communicate results to business audience through reports, dashboards and presentation
- Collaborate cross-functionally with business and technical stakeholders to identify & prioritize project requirements
- Work with data and analytics experts to strive for greater functionality in our data systems
Requirements
- Currently pursuing a Master's Degree in Statistics, Business Analytics, Data Science or Computer Science with anticipated graduation between December 2025 and June 2026
- Experience using statistical programming languages (R, Python) to manipulate data and draw insights from large data sets
- Working SQL knowledge and experience working with relational databases as well as NoSQL databases
- Knowledge and experience in statistical and data mining techniques
- Experience working with various machine learning / deep learning algorithms and frameworks
- Text Mining, NLP and Social Network Analysis
- Experience with data discovery and visualization tools
- Hands-on data engineering experience using structured and unstructured data
Nice-to-haves
- A successful history of manipulating, processing and extracting value from large disconnected datasets
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with data pipeline and workflow management tools: Airflow, Azure Data Factory etc.
- Experience with building processes supporting data transformation, data structures, metadata, dependency and workload management
- Experience with cloud cognitive eco-system like Azure, AWS
Benefits
- Training and development opportunities
- Community service involvement
- Social events during the internship
