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Working in Technology (WiT) Data Science - Summer 2026

at William Blair

Back to all Data Science / AI / ML jobs
William Blair logo
Investment Banking

Working in Technology (WiT) Data Science - Summer 2026

at William Blair

InternshipNo visa sponsorshipData Science/AI/ML

Posted 6 days ago

No clicks

Compensation
$35 – $35 USD

Currency: $ (USD)

City
Chicago
Country
United States

William Blair seeks undergraduate students to join its WiT Data Science internship for 10 weeks in summer 2026. The program promotes technology careers among students from underrepresented backgrounds and offers exposure to statistics, machine learning, data visualization, and data engineering. Interns will work on data science, ML, and data engineering projects in Azure and SPARK, assembling large datasets and translating insights into business recommendations. The program includes training, community service, and social events, with opportunities to present results to business stakeholders.

// get job ID from URL query string (e.g. https://www.williamblair.com/careers/job-board-showjob.html?gh_jid=4175523007) // load job listing from https://boards-api.greenhouse.io/v1/boards/williamblair/jobs/{job_id} into an array // example job ID: 4175523007 // with fields: title, location, absolute_url, updated_at, content // metadata[0] holds AreasOfInterest // metadata[1] holds Location // metadata[2] holds Additional Locations // Put the title in first h1 with class hero-content-title // Put the content in jobcontent div // Put the locations in joblocation div // Put the areas of interest in jobareasofinterest div // If jobid is blank output error message "We're sorry but this job is no longer available." to jobcontent div and make jobtitle say "Job Not Found" window.addEventListener('DOMContentLoaded', async () => { // Get job ID from URL query string const urlParams = new URLSearchParams(window.location.search); const jobId = urlParams.get('gh_jid'); if (!jobId) { // If jobid is blank, output error message document.querySelector('h1.hero-content-title').textContent = 'Job Not Found'; document.getElementById('jobcontent').textContent = "We're sorry but this job is no longer available."; } else { // Load job listing const response = await fetch(`https://boards-api.greenhouse.io/v1/boards/williamblair/jobs/${jobId}`); const job = await response.json(); // Exit if Job Not Found if (job.status === 404 && job.error === 'Job not found') { document.querySelector('h1.hero-content-title').textContent = 'We\'re sorry but this job is no longer available.'; return; } let areasOfInterest = []; if (job.metadata[0] && Array.isArray(job.metadata[0].value) && job.metadata[0].value[0] !== '' && job.metadata[0].value[0] !== undefined) { areasOfInterest.push(...job.metadata[0].value); } areasOfInterest = areasOfInterest.length > 0 ? areasOfInterest : ['No Specified Area of Interest']; // Sort the areas of interest alphabetically areasOfInterest = areasOfInterest.sort(); // add in job.requisition_id as an extra area of interest if (job.requisition_id !== '' && job.requisition_id !== undefined) { areasOfInterest.push(job.requisition_id); } let locations = []; if (typeof job.metadata[1].value === 'string' && job.metadata[1].value !== '' && job.metadata[1].value !== undefined) { locations.push(job.metadata[1].value); } if (Array.isArray(job.metadata[2].value) && job.metadata[2].value[0] !== '' && job.metadata[2].value[0] !== undefined) { locations.push(...job.metadata[2].value); } locations = locations.length > 0 ? locations : ['No Specified Location']; // Sort the locations alphabetically locations = locations.sort(); // Put the title in the first h1 with class hero-content-title document.querySelector('h1.hero-content-title').textContent = job.title; // Create a temporary div let tempDiv = document.createElement('div'); // Set the innerHTML of the temp div to the escaped HTML string tempDiv.innerHTML = job.content; // Get the unescaped HTML string let unescapedHTML = tempDiv.textContent; // Put the unescaped content in the jobcontent div document.getElementById('jobcontent').innerHTML = unescapedHTML; // Put the locations in hero-content-type p document.getElementById('joblocation').textContent = locations.flat().join(' | '); // Put the areas of interest in hero-content-type document.getElementById('jobareasofinterest').textContent = areasOfInterest.flat().join(' | '); // Add "Job Description" header in and H3 after the content-intro div that comes back inside jobcontent, but only if content-intro div exists if (document.querySelector('.content-intro')) { let jobDescriptionHeader = document.createElement('h3'); jobDescriptionHeader.textContent = 'Job Description'; document.querySelector('.content-intro').insertAdjacentElement('afterend', jobDescriptionHeader); } // Add the correct fields to these elements too: //

//

//

document.getElementById('applyAreasOfInterest').textContent = areasOfInterest.flat().join(' | '); document.getElementById('applyTitle').textContent = job.title; document.getElementById('applyLocations').textContent = locations.flat().join(' | '); } }); // .bg-[#00578F] or .bg-[#005E48] for the hero module background color

Information Technology | JR100959

Working in Technology (WiT) Data Science - Summer 2026

Chicago, Illinois

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

Join William Blair, the Premier Global Partnership.

 

Job Description

Working in Technology (WiT) Data Science - Summer 2026

William Blair is seeking undergraduate students to join our innovative technology team for a 10-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 Bachelor's Degree in Statistics, Business Analytics, Data Science or Computer Science with anticipated graduation between December 2026 and June 2029
  • 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 

#LI-CH

A reasonable estimate of the current hourly range at time of posting is below.

Hourly Range
$35$35 USD

 

About Our Firm

William Blair strives to attract qualified candidates who specialize in investment banking, investment management, private wealth management, and other strategic resource groups. We are committed to empowering our colleagues to deliver client success and engage in our communities. Our firm has delivered trusted advice for nine decades, continuing to deepen our expertise and relationships across asset classes and markets throughout North America, Europe, Asia, and Australia. We provide advisory services, strategies, and solutions to meet clients’ evolving needs amid dynamic market conditions and varying industries. What sets us apart is that we are an independent partnership, with colleagues who have unique experiences, perspectives, and backgrounds. We empower our people to bring their best thinking so we can deliver the tailored, thoughtful work and problem-solving abilities that our clients expect. We invite you to learn more about us by visiting williamblair.com.

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

Be aware of hiring scams: William Blair has clear processes and guidelines with regards to recruiting. We do not request personal financial information in connection with an employment application nor does William Blair extend any employment offers without first conducting an interview through one of its registered offices. William Blair does not use instant messaging services such as WhatsApp, Telegram, or iMessage as part of the recruiting or interviewing process.

Note to External Recruiters / Search Firms: William Blair does not accept unsolicited resumes and will not pay for any placement resulting from the receipt of an unsolicited resume. Any unsolicited resumes received will not be considered as a valid submission.

Download William Blair's privacy policies for job applicants:

Contact us should you have any questions or concerns.

Apply For This Position

Information Technology | JR100959

Working in Technology (WiT) Data Science - Summer 2026

Chicago, Illinois

Working in Technology (WiT) Data Science - Summer 2026

at William Blair

Back to all Data Science / AI / ML jobs
William Blair logo
Investment Banking

Working in Technology (WiT) Data Science - Summer 2026

at William Blair

InternshipNo visa sponsorshipData Science/AI/ML

Posted 6 days ago

No clicks

Compensation
$35 – $35 USD

Currency: $ (USD)

City
Chicago
Country
United States

William Blair seeks undergraduate students to join its WiT Data Science internship for 10 weeks in summer 2026. The program promotes technology careers among students from underrepresented backgrounds and offers exposure to statistics, machine learning, data visualization, and data engineering. Interns will work on data science, ML, and data engineering projects in Azure and SPARK, assembling large datasets and translating insights into business recommendations. The program includes training, community service, and social events, with opportunities to present results to business stakeholders.

// get job ID from URL query string (e.g. https://www.williamblair.com/careers/job-board-showjob.html?gh_jid=4175523007) // load job listing from https://boards-api.greenhouse.io/v1/boards/williamblair/jobs/{job_id} into an array // example job ID: 4175523007 // with fields: title, location, absolute_url, updated_at, content // metadata[0] holds AreasOfInterest // metadata[1] holds Location // metadata[2] holds Additional Locations // Put the title in first h1 with class hero-content-title // Put the content in jobcontent div // Put the locations in joblocation div // Put the areas of interest in jobareasofinterest div // If jobid is blank output error message "We're sorry but this job is no longer available." to jobcontent div and make jobtitle say "Job Not Found" window.addEventListener('DOMContentLoaded', async () => { // Get job ID from URL query string const urlParams = new URLSearchParams(window.location.search); const jobId = urlParams.get('gh_jid'); if (!jobId) { // If jobid is blank, output error message document.querySelector('h1.hero-content-title').textContent = 'Job Not Found'; document.getElementById('jobcontent').textContent = "We're sorry but this job is no longer available."; } else { // Load job listing const response = await fetch(`https://boards-api.greenhouse.io/v1/boards/williamblair/jobs/${jobId}`); const job = await response.json(); // Exit if Job Not Found if (job.status === 404 && job.error === 'Job not found') { document.querySelector('h1.hero-content-title').textContent = 'We\'re sorry but this job is no longer available.'; return; } let areasOfInterest = []; if (job.metadata[0] && Array.isArray(job.metadata[0].value) && job.metadata[0].value[0] !== '' && job.metadata[0].value[0] !== undefined) { areasOfInterest.push(...job.metadata[0].value); } areasOfInterest = areasOfInterest.length > 0 ? areasOfInterest : ['No Specified Area of Interest']; // Sort the areas of interest alphabetically areasOfInterest = areasOfInterest.sort(); // add in job.requisition_id as an extra area of interest if (job.requisition_id !== '' && job.requisition_id !== undefined) { areasOfInterest.push(job.requisition_id); } let locations = []; if (typeof job.metadata[1].value === 'string' && job.metadata[1].value !== '' && job.metadata[1].value !== undefined) { locations.push(job.metadata[1].value); } if (Array.isArray(job.metadata[2].value) && job.metadata[2].value[0] !== '' && job.metadata[2].value[0] !== undefined) { locations.push(...job.metadata[2].value); } locations = locations.length > 0 ? locations : ['No Specified Location']; // Sort the locations alphabetically locations = locations.sort(); // Put the title in the first h1 with class hero-content-title document.querySelector('h1.hero-content-title').textContent = job.title; // Create a temporary div let tempDiv = document.createElement('div'); // Set the innerHTML of the temp div to the escaped HTML string tempDiv.innerHTML = job.content; // Get the unescaped HTML string let unescapedHTML = tempDiv.textContent; // Put the unescaped content in the jobcontent div document.getElementById('jobcontent').innerHTML = unescapedHTML; // Put the locations in hero-content-type p document.getElementById('joblocation').textContent = locations.flat().join(' | '); // Put the areas of interest in hero-content-type document.getElementById('jobareasofinterest').textContent = areasOfInterest.flat().join(' | '); // Add "Job Description" header in and H3 after the content-intro div that comes back inside jobcontent, but only if content-intro div exists if (document.querySelector('.content-intro')) { let jobDescriptionHeader = document.createElement('h3'); jobDescriptionHeader.textContent = 'Job Description'; document.querySelector('.content-intro').insertAdjacentElement('afterend', jobDescriptionHeader); } // Add the correct fields to these elements too: //

//

//

document.getElementById('applyAreasOfInterest').textContent = areasOfInterest.flat().join(' | '); document.getElementById('applyTitle').textContent = job.title; document.getElementById('applyLocations').textContent = locations.flat().join(' | '); } }); // .bg-[#00578F] or .bg-[#005E48] for the hero module background color

Information Technology | JR100959

Working in Technology (WiT) Data Science - Summer 2026

Chicago, Illinois

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

Join William Blair, the Premier Global Partnership.

 

Job Description

Working in Technology (WiT) Data Science - Summer 2026

William Blair is seeking undergraduate students to join our innovative technology team for a 10-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 Bachelor's Degree in Statistics, Business Analytics, Data Science or Computer Science with anticipated graduation between December 2026 and June 2029
  • 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 

#LI-CH

A reasonable estimate of the current hourly range at time of posting is below.

Hourly Range
$35$35 USD

 

About Our Firm

William Blair strives to attract qualified candidates who specialize in investment banking, investment management, private wealth management, and other strategic resource groups. We are committed to empowering our colleagues to deliver client success and engage in our communities. Our firm has delivered trusted advice for nine decades, continuing to deepen our expertise and relationships across asset classes and markets throughout North America, Europe, Asia, and Australia. We provide advisory services, strategies, and solutions to meet clients’ evolving needs amid dynamic market conditions and varying industries. What sets us apart is that we are an independent partnership, with colleagues who have unique experiences, perspectives, and backgrounds. We empower our people to bring their best thinking so we can deliver the tailored, thoughtful work and problem-solving abilities that our clients expect. We invite you to learn more about us by visiting williamblair.com.

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

Be aware of hiring scams: William Blair has clear processes and guidelines with regards to recruiting. We do not request personal financial information in connection with an employment application nor does William Blair extend any employment offers without first conducting an interview through one of its registered offices. William Blair does not use instant messaging services such as WhatsApp, Telegram, or iMessage as part of the recruiting or interviewing process.

Note to External Recruiters / Search Firms: William Blair does not accept unsolicited resumes and will not pay for any placement resulting from the receipt of an unsolicited resume. Any unsolicited resumes received will not be considered as a valid submission.

Download William Blair's privacy policies for job applicants:

Contact us should you have any questions or concerns.

Apply For This Position

Information Technology | JR100959

Working in Technology (WiT) Data Science - Summer 2026

Chicago, Illinois

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