Technology; WiT Data Science - Summer

Solutions for Today’s Challenges. Vision for Tomorrow’s Opportunities.

Join William Blair, the Premier Global Partnership.

William Blair has delivered trusted advice for nine decades, and we continue to deepen our expertise and relationships across regions, asset classes, and markets throughout North America, Europe, Asia, and Australia.

We are committed to our people and culture, values, clients, and local communities.

What sets us apart is that we are an independent partnership, with employees who have unique experiences, perspectives, and backgrounds. We provide advisory services, strategies, and solutions to meet clients’ evolving needs amid dynamic market conditions and varying industries.

We strive to attract the most qualified, passionate candidates who specialize in investment banking, investment management, private wealth management, and a variety of other business functions.

We work tirelessly to create an inclusive culture and take pride in fostering employees’ professional and personal growth. We empower our people to bring their best thinking each day so we can deliver the tailored, thoughtful work and problem-solving abilities that our clients expect.

Equally, we are proud of our long‑term partnerships with the communities in which we live and work, a legacy we inherited from our founder.

We invite you to learn about how we are seeking excellence in everything we do and empowering our clients’ success with passion, creativity, and rigor. For more information, visit

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 No
  
  SQL 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
• Exp…