1

Data Science Consulting Jobs in Chicago, IL (NOW HIRING)

Data Scientist

Chicago, IL · On-site

$90K - $130K/yr

Masters or advanced certificate in data analytics preferred. 7-10 years of experience in the data science field; 1-3 years in consulting preferred; 1-3 years in casualty or absence management ...

Architect, Data Science

Chicago, IL · On-site

$155 - $190/hr

As part of our growing Data Science practice, this role offers an exciting opportunity to lead ... with seasoned consulting acumen to influence both technical execution teams and C‑suite ...

Readiness to serve as a consultative first-point-of-contact between data science practitioners and technology teams, interface independently with stakeholders to design human-in-the-loop AI workflows ...

Thus, bookending the "data science" itself, you will be responsible for communicating with ... consulting subject matter experts * Experience in Financial Services, Hedge Funds, Private Equity ...

Thus, bookending the "data science" itself, you will be responsible for communicating with ... consulting subject matter experts * Experience in Financial Services, Hedge Funds, Private Equity ...

As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to ...

VP of Data Science

Chicago, IL · On-site

$180 - $320/hr

Partner with and manage engagements with external consultants who bring domain‑specific expertise Preferred Qualifications * 10+ years in data science within AdTech/MarTech, with 4+ years leading a ...

Posted today

next page

Showing results 1-20

Data Science Consulting information

See Chicago, IL salary details

$24.1K

$115.8K

$216.1K

How much do data science consulting jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data science consulting in Chicago, IL is $115,777.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,045.00 and $160,634.00 per year, depending on experience, location, and employer.

What is data science consulting?

Data science consulting involves providing expert advice and solutions to organizations on how to use data effectively to solve business problems, make decisions, and gain insights. Consultants analyze large sets of data, develop predictive models, and help implement data-driven strategies tailored to a client's needs. Their work often includes data cleaning, statistical analysis, machine learning, and translating complex findings into actionable recommendations. Data science consultants work across industries, helping organizations optimize operations, improve customer experiences, and drive innovation.

What are some common challenges faced by data science consultants when working with clients from diverse industries?

Data science consultants often encounter challenges such as translating complex technical findings into actionable business insights for clients who may not have a technical background. Adapting analytical approaches to fit unique industry requirements and data quality issues—like missing or inconsistent data—are also frequent hurdles. Consultants must quickly learn about different business models and maintain strong communication to ensure project goals are aligned. Effective collaboration and flexibility are crucial for delivering value across varied client environments.

What are the key skills and qualifications needed to thrive as a data science consultant, and why are they important?

To thrive as a Data Science Consultant, you need expertise in statistics, machine learning, data analysis, and a strong foundation in programming languages such as Python or R, usually supported by a quantitative degree. Familiarity with data visualization tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications can enhance your technical capabilities. Outstanding communication, problem-solving skills, and the ability to translate complex data insights for diverse stakeholders set top consultants apart. These skills are crucial for delivering actionable business solutions and driving data-driven decision-making for clients.

What is the difference between Data Science Consulting vs Data Analyst?

AspectData Science ConsultingData Analyst
Required CredentialsTypically requires a degree in data science, statistics, or related fields; often advanced certificationsUsually requires a degree in statistics, mathematics, or related fields; certifications are common but less advanced
Work EnvironmentConsults with multiple clients, often in diverse industries; project-based workWorks within a company or department; focuses on internal data analysis
Employer & Industry UsageUsed by consulting firms, tech companies, and large enterprises for strategic insightsEmployed by organizations across industries for operational reporting and data interpretation

Data Science Consulting involves providing strategic, high-level insights to clients using advanced analytics and machine learning, often across multiple industries. Data Analysts focus on interpreting existing data to support business decisions within a single organization. Both roles require strong analytical skills, but Data Science Consulting typically demands more technical expertise and a broader project scope.

How much does a data science consultant make?

Data science consultants typically earn between $70,000 and $150,000 annually, depending on experience, location, and industry. Senior or specialized consultants with advanced skills in machine learning and data analysis can earn higher salaries, especially when working on complex projects or for large organizations.

What do data science consultants do?

Data science consultants analyze data to identify patterns, develop models, and provide insights that help organizations make informed decisions. They often use tools like Python, R, and SQL, and may work on projects involving machine learning, data visualization, and statistical analysis. Their role includes advising clients on data strategies and implementing solutions to improve business outcomes.

What job categories do people searching Data Science Consulting jobs in Chicago, IL look for?

The top searched job categories for Data Science Consulting jobs in Chicago, IL are:

Infographic showing various Data Science Consulting job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $115,777 per year, or $55.7 per hour.

Compliance Data Science Consultant

Ropes & Gray

Chicago, IL • On-site

Full-time

Posted yesterday

New


Job description

About Ropes & Gray

Ropes & Gray is a preeminent global law firm. The firm has been ranked in the top three on The American Lawyer's prestigious A-List for eight consecutive years and #1 on Law.com's UK A-List twice in the past three years - rankings that honor the "best of the best" law firms.The firm has approximately 2,500 lawyers and professionals serving clients in major centers of business, finance, technology, and government in Boston, Chicago, Dublin, Hong Kong, London, Los Angeles, Milan, New York, Paris, San Francisco, Seoul, Shanghai, Silicon Valley, Singapore, Tokyo and Washington, D.C.The firm has consistently been recognized for its leading practices in many areas, including asset management, private equity, M&A, finance, real estate, tax, antitrust, life sciences, health care, intellectual property, litigation & enforcement, privacy & cybersecurity, and business restructuring.Ropes & Gray is an equal opportunity employer.

Overview

The Compliance & Data Science Consultant supports the Lab's compliance advisory and data analytics service lines by combining substantive regulatory knowledge with quantitative and computational skill. The incumbent in the role will contribute to client-facing compliance assessments, portfolio monitoring engagements, and data-driven risk analytics projects.

Responsibilities

Compliance Program Advisory:

  • Support the design, implementation, and evaluation of client compliance programs.
  • Conduct compliance risk assessments, gap analyses, and portfolio monitoring reviews under senior Lab supervision.
  • Assist with substantive regulatory analysis in areas including sanctions, anti-bribery and corruption, and sector-specific frameworks.
  • Prepare client-ready deliverables including assessment reports, program design recommendations (including policy revisions), and remediation roadmaps.
  • Continue to develop AI-driven workflows to derive efficiency on PE monitoring and compliance advisory work.

 

Data Science & Analytics:

  • Develop and execute data analytics workflows for compliance monitoring, risk stratification, and regulatory reporting engagements.
  • Apply statistical methods, data visualization, and computational techniques to identify patterns, anomalies, and risk indicators in client datasets.
  • Contribute to the Lab's data governance advisory offerings, including data mapping, classification frameworks, and quality assurance protocols.
  • Support the integration of AI and machine learning tools into compliance workflows, including prompt engineering, output validation, and tool evaluation.

 

Cross-Functional:

  • Collaborate with the existing data science consultant on projects requiring both regulatory context and quantitative execution, serving as the compliance-substance bridge.
  • Assist with business development by creating and maintaining proposal content, scoping documents, and assisting with through leadership at the compliance/analytics intersection.
  • Maintain active engagement with professional communities (e.g., SCCE, SCCE Data Analytics Working Group) to inform service line development.

 

THE PERSON:

This is a career opportunity for a curious, analytical, and practical problem-solver who can connect regulatory requirements with data-driven approaches. You'll bring sound judgment, energy, and creativity to client engagements and help translate complex compliance and analytical concepts into clear, actionable advice for attorneys, clients, and other stakeholders.

You'll be comfortable working across disciplines and learning quickly in a dynamic, entrepreneurial environment. You'll need to communicate clearly, collaborate with lawyers and data scientists, take ownership of your work, and be confident contributing ideas while developing toward independent engagement management.

Qualifications
  • Bachelor's degree required.
  • Three to five years of professional experience in compliance, regulatory consulting, or a related advisory role within healthcare, banking/investment management, or biotech/pharmaceutical industries.
  • Demonstrated applied experience in data science, data analytics, or quantitative risk analysis (academic or professional).
  • Foundational knowledge of compliance program structure, including the DOJ Evaluation of Corporate Compliance Programs framework or equivalent regulatory guidance.
  • Substantive familiarity with at least two of the following: sanctions screening, anti-bribery/FCPA compliance, data governance, or regulatory risk modeling.

Proficiency with analytical tools such as Python, R, SQL, or comparable platforms; comfort working with structured and unstructured datasets.

Compensation and Total Rewards Package

The Ropes & Gray Insights Lab is proud to offer a comprehensive Total Rewards package to employees. The firm also offers comprehensive health and well-being benefits, personal and professional development, career growth opportunities, and a collegial and supportive culture. The anticipated pay range for this role is $150,000 - $200,000, which represents our good faith and reasonable estimate of the starting salary range at the time of posting. In addition, this role is eligible for a discretionary bonus based on performance. The actual offered rate for this position will be determined based on job-related, non-discriminatory factors, including qualifications and experience, geographic location, education, external market data, and consideration of internal equity.

Working Conditions

This position requires hybrid on-site presence as an essential function of the role. Consistent and predictable on-site presence is required for ongoing business continuity, professional development and effective collaboration with colleagues and management.

Employment Type: OTHER