Top 19 Lead data scientist Jobs in Chicago Il

Lead, AI Engineering
Bain & Co. —Chicago, IL
- $203,500 a year
- Full-time
- System design
- Office
- Continuous improvement
- Wellness program
- Paid holidays
Quick Apply
Lead Data Science Engineer
Health Care Service Corporation —Chicago, IL
- $121,200 - $225,200 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Doctor of Philosophy
Lead Data Scientist (Remote)
Hyatt Corporate Office —Chicago, IL
- $160,000 - $170,000 a year
- Full-time
- Remote
- Computer science
- Computer Science
- System design
- Health insurance
- Dental insurance
14d
Lead Data Scientist
Pursuit Aerospace —Chicago, IL
- $144,000 - $198,000 a year
- Full-time
- Remote
- Azure
- Ability to walk for extended periods
- ERP systems
- Paid holidays
- Disability insurance
Quick Apply
Lead Data Scientist
Capgemini Sogeti —Chicago, IL
- $150,000 - $210,000 a year
- Full-time
- 5 years
- System design
- Mentoring
- Paid holidays
- Disability insurance
Lead Data Scientist (P3764)
84.51° —Chicago, IL
- $125,000 - $207,000 a year
- Azure
- 6 years
- Computer Science
10d
Lead Data Scientist
Capgemini —Chicago, IL
- $150,000 - $210,000 a year
- Full-time
- 5 years
- System design
- Mentoring
- Paid holidays
- Disability insurance
Lead Data Scientist
US AMR-Jones Lang LaSalle Americas, Inc. —Chicago, IL
- $140,000 - $150,000 a year
- Online Application
- Background check
- Azure
- Doctoral degree
- Paid parental leave
- Paid holidays
Quick Apply
Lead Data Scientist
Independence Pet Group —Chicago, IL
- Full-time
- Hybrid work
- Bachelor of Science
- Office
- SQL
- Commuter assistance
- Paid parental leave
Machine Learning Lead
Coinflow —Chicago, IL
- $175,000 - $235,000 a year
- Full-time
- Management
- Continuous improvement
- Senior level
- Health insurance
Lead Data Scientist
The Chamberlain Group LLC —Oak Brook, IL
- $102,600 - $193,425 a year
- Full-time
- Hybrid work
- Azure
- Management
- Doctoral degree
- 401(k)
Quick Apply
Lead Machine Learning / Data Science Engineer
CapTech Consulting —Chicago, IL
- $90,000 - $200,000 a year
- Full-time
- 7 years
- Azure
- Management
- Loan repayment program
- Disability insurance
Quick Apply
Lead Insurance Data Scientist
EPIC Brokers —Chicago, IL
- $100 an hour
- Hybrid work
- Azure
- Computer Science
- Office
- Paid parental leave
- Paid holidays
Quick Apply
Applied AI Lead
Coinflow —Chicago, IL
- $150,000 - $220,000 a year
- Full-time
- System design
- APIs
- Senior level
- Health insurance
Machine Learning Research Lead
IMC Financial Markets —Chicago, IL
- $250,000 - $300,000 a year
- Full-time
- Computer Science
- Engineering
- Math
Lead GenAI Engineer – $160k – $210k
Jarvis Recruitment —Chicago, IL
- $160,000 - $210,000 a year
- Full-time
- Computer Science
- 5 years
- Senior level
Lead AI/ML Engineer (P4645)
84.51° —Chicago, IL
- $125,000 - $207,000 a year
- Computer Science
- System design
- Office
3d
Lead, Decision Science Analyst (Marketing)
The Chamberlain Group LLC —Oak Brook, IL
- $102,600 - $193,425 a year
- Full-time
- Hybrid work
- Azure
- SQL
- Senior level
- 401(k)
Quick Apply
Program Leader, Artificial Intelligence Transformation
Life Fitness / Hammer Strength —Rosemont, IL
- $149,400 - $182,500 a year
- Full-time
- 6 years
- Product management
- Military encouraged
- Commuter assistance
- Health savings account
Quick Apply
10d

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Lead Data Science Engineer
Health Care Service Corporation —Chicago, IL
Bachelor degree and 5 years of work experience in a computer science, engineering, or related field OR Master’s degree and 4 years of work experience in a…
$121,200 - $225,200 a year
Lead, AI Engineering
Bain & Co. —Chicago, IL
Share knowledge with peers and support a culture of technical learning around RAG, agents, prompt engineering, and AI safety. The Impact You’ll Have.
$203,500 a year
Quick Apply

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Lead, AI Engineering

Bain & Co. -
Chicago, IL

Quick Apply

Job Details

Full-time
$203,500 a year

Benefits

Wellness program
Paid holidays
Disability insurance
Health insurance
Dental insurance
401(k)
Paid time off
Parental leave
401(k) 5% Match
Vision insurance
401(k) matching

Qualifications

AI models
Cost management
Regression testing implementation
Software engineering
Continuous Delivery (CD) implementation
Engineering development testing
React
Full-stack development
Tooling
Generative models
System design
AI platforms (beyond public GPTs)
Business consulting
Enterprise software systems development
Prompt engineering
Infrastructure architecture design
Microservices
Client services experience within consulting industry
Production systems
Collaboration with product development teams
Data caching
Clean architecture
Continuous improvement
Model deployment
Mentoring
Prototype creation
Cloud Native Design
APIs
System deployment
Cloud solution engineering

Full Job Description

What Makes Us A Great Place To Work

We are proud to be consistently recognized as one of the world’s best places to work. We are currently the top ranked consulting firm on [1] Glassdoor’s Best Places to Work list and have earned the #1 spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.

About Bain AI, Insights & Solutions (AIS)

Bain’s [2] AI, Insights & Solutions (AIS) team works with clients to design and deliver AI-powered solutions that create measurable business impact. You’ll operate in multidisciplinary teams alongside Bain consultants, other experts in product, design, architecture and engineering, and client stakeholders, translating ambiguous business problems into robust AI applications that can be piloted, scaled, and adopted.

The Impact You’ll Have

Bain works with clients on board-level and executive priorities, helping deliver step-change results across growth, productivity, and resilience. In that context, AI is rarely a point solution. The most meaningful outcomes come from building AI as part of an integrated system that combines technology with redesigned processes, operating model changes, and adoption at scale across the organization.

As an AI Engineer in AIS, you will build the technical core of these transformations and work as part of broader Bain consulting teams to move solutions from prototype to real adoption. The result is measurable impact at the company or enterprise level and, in many cases, helps clients set new performance standards for their industries.

The Role

The Lead AI Engineer will design, build, and ship generative AI systems and agentic solutions for Bain’s clients. You will contribute across the full development lifecycle — from early experimentation and prototyping through to production deployment — collaborating closely with senior engineers, product managers, and data scientists. This is a hands-on individual contributor role with growing influence on technical direction and an opportunity to begin mentoring more junior team members.

You will have opportunities to work with major AI ecosystem partners through Bain’s partnerships, collaborating on real client deployments and helping shape how emerging capabilities are applied in enterprise settings.

Bain offers significant learning and growth opportunities through the breadth and depth of problems we solve, the level of impact we help clients achieve, and our apprenticeship model. You will learn by doing, with support from experienced teammates, frequent feedback, and increasing responsibility over time.

What You’ll Do

Contribute to the design, development, and deployment of end-to-end generative AI systems, including multi-agent workflows and production-grade AI applications.
Build and iterate on multi-component AI pipelines, including:
Retrieval-Augmented Generation (RAG)
Fine-tuning and parameter-efficient tuning
Embedding generation and optimization
Hybrid retrieval strategies (vector, graph, keyword)
Implement reasoning, tool use, function calling, and orchestration across AI workflows
Build and contribute to agentic systems, applying sound engineering principles around separation of concerns, memory architecture, and tool integration
Contribute across the full stack: model experimentation, evaluation design, and production system deployment
Build and maintain APIs, microservices, CI/CD pipelines, and cloud-native deployments with attention to observability and reliability
Support and help build GenAIOps processes for automated testing, regression evaluation, latency monitoring, and continual improvement
Balance performance, safety, responsible AI principles, and cost across system design:
Implement guardrails, fallbacks, red-teaming strategies, and human-in-the-loop (HITL) workflows
Partner with global ethics teams to ensure alignment with Bain’s Responsible AI standards
Build automated evaluation suites integrating user signals, continual learning cycles, and ongoing model updates
Design and implement evaluation frameworks covering:
Hallucination rate and factual consistency
Relevance and precision/recall
Latency, throughput, and system-level performance
Cost tracking and efficiency
Partner closely with product, engineering, data science, ethics, and infrastructure teams to build robust, compliant AI systems
Contribute technical insights and communicate findings clearly to cross-functional stakeholders and, where relevant, clients
Share knowledge with peers and support a culture of technical learning around RAG, agents, prompt engineering, and AI safety

What We’re Looking For (Qualifications)

3-5+ years in software engineering, ML engineering, or applied AI roles with hands-on building responsibilities
Demonstrated experience shipping generative AI features or systems end-to-end, from prototyping through production
Clear communication skills with the ability to explain technical concepts to non-technical collaborators and stakeholders
Demonstrated ability to collaborate effectively across engineering, product, and data science teams; some experience supporting or informally mentoring peers is a plus
Solid prompt engineering and context engineering skills; familiarity with conversation design principles
Working knowledge of evaluation design, experimentation frameworks, and data labeling strategies for LLM applications
Experience with:
RAG architectures (vector-based retrieval; exposure to hybrid or graph-based approaches is a plus)
Agentic patterns (tool use, routing, memory management; multi-agent systems experience is a plus)
ReAct, RLAIF, and other HITL + feedback loops.
AI-Specific Tools & Frameworks - Orchestration frameworks, Vector and graph databases and Model + API ecosystems
Strong background in system design, architecture, and production-grade deployment
Familiarity with cost and latency tradeoffs when working with LLM workloads
Comfort operating in high-ambiguity environments with collaborative cross-functional teams
Eagerness to grow into a technical leadership role and support junior team members
Experience in client-facing consulting or enterprise transformation environments is a strong plus

Working Model & Travel

This role requires a minimum of three days per week working together in person, either at a client location or at your Bain home office.
Travel is required beyond your home office / primary working location. Frequency and destination vary by project needs.

U.S. Compensation Information

Compensation for this role includes base salary, annual discretionary performance bonus, 401(k) plan with an annual employer contribution based on years of service and Bain’s best in class benefits package (details listed below).

Some local governments in the United States require a good-faith, reasonable salary range be included in job postings for open roles. The estimated annualized compensation for this role is as follows:

In New York City, California, Washington State, and Washington D.C, the good-faith, reasonable annualized full-time salary for this role is $203,500; In the state of Illinois, Georgia, Massachusetts, and Texas, the good-faith, reasonable annualized full-time salary for this role is $179,500.

For all other locations, the good-faith, reasonable annualized full-time salary range for this role is commensurate with competitive geographic market rates for this role and will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level.

Annual discretionary performance bonus
This role may also be eligible for other elements of discretionary compensation
4.5% 401(k) company contribution, which increases after 3 years of service and is 100% vested upon start date
Bain & Company's comprehensive benefits and wellness program is designed to help employees achieve personal independence, protection and stability in the areas most important to you and your family.
Bain pays 100% individual employee premiums for medical, dental and vision programs, offering one of the most comprehensive medical plans for employees without impacting your paycheck
Generous paid time off, including parental leave, sick leave and paid holidays
Fully vested 401(k) company contribution
Paid Life and Long-Term Disability insurance
Annual fitness reimbursements

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability
References

Visible links
1. https://www.bain.com/about/awards-recognition/
2. https://www.bain.com/careers/work-with-us/integrated-teams/ai-insights-solutions-ais/

Quick Apply

Refine Your Search

lead data scientist jobs in chicago il

Lead, AI Engineering

Lead Data Science Engineer

Lead Data Scientist (Remote)

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist (P3764)

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Machine Learning Lead

Lead Data Scientist

Lead Machine Learning / Data Science Engineer

Lead Insurance Data Scientist

Applied AI Lead

Machine Learning Research Lead

Lead GenAI Engineer – $160k – $210k

Lead AI/ML Engineer (P4645)

Lead, Decision Science Analyst (Marketing)

Program Leader, Artificial Intelligence Transformation

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