You are viewing a preview of this job. Log in or register to view more details about this job.

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

A reasonable estimate of the current base salary range at time of posting is below. Base salary does not include other forms of compensation or benefits. Actual base salary within the specified range is based on several factors, including but not limited to applicant's skills, prior relevant experience, specific degrees and certifications, job responsibilities, market considerations and, if applicable, the location of the position.

Salary Range

$35—$42 USD

William Blair is an equal opportunity employer. It complies with all laws and regulations that prohibit discrimination in employment practice because of race, color, religion, creed, ancestry, marital status, gender, age, national origin, sexual orientation, unfavorable discharge from the military service or on the basis of a physical or mental disability that is unrelated to the employee's ability to perform the duties of the job applied for. EOE m/f/d/v