Working in Technology (WiT) Data Science - Summer 2026

William Blair is seeking graduate students to join our innovative technology team for a 12-week internship program during the summer of 2026. The program is designed to promote technology careers among high performing individuals from underrepresented backgrounds in the technology space, including but not limited to women currently enrolled, or intending to enroll, in a technology related program. Selected participants will have a unique opportunity to explore areas of statistical analysis, machine learning, deep learning, data science, data visualization, and data engineering to support mission critical business use cases. The summer program also includes training, community service, and social events. 

Responsibilities include but may not be limited to: 

• 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 

Required Technical Skills: 

• Currently pursuing a Master’s Degree in Statistics, Business Analytics, Data Science or Computer Science with anticipated graduation between December 2026 and June 2027
• 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  

Preferred Technical Skills: 

• 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