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ai/machine learning data engineer Jobs in Chicago

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ai/ml engineer (senior associate) - remote Jobs in Chicago

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applied ai/ml - senior associate

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associate business analyst – genai

lead data scientist

Stratosys Technologies LLC

About the role: We are seeking a seasoned Lead Data Scientist to spearhead AI and machine learning initiatives for our insurance operations. You will design, develop, and deploy advanced GenAI solutions like RAG and Agentic AI workflows to optimize risk assessment, claims automation, fraud detection, and personalized underwriting. Leading a team, you'll integrate AI into production systems on Cloud platforms, drive model performance, and align innovations with business goals in the dynamic insurance landscape.Key Responsibilities:Generative AI &amp; Agentic Workflows:<ul><li>Design and implement RAG systems and Agentic AI workflows using prompt engineering, fine-tuning of LLMs, and frameworks like LangGraph/LangChain to automate insurance processes such as policy binding and claims adjudication.</li><li>Develop autonomous AI agents for tasks like real-time risk scoring and customer query resolution.</li><li>Evaluate LLMs for accuracy, bias mitigation, and alignment with insurance regulations (e.g., IRDAI compliance).</li></ul>Model Development &amp; Deployment:<ul><li>Architect, build, and refine ML/GenAI models (traditional and generative) to tackle insurance challenges like predictive analytics for market risk, anomaly detection in claims, and isolation forests for fraud.</li><li>Deploy scalable models in production on AWS/Azure/GCP.</li><li>Optimize models using performance metrics, feedback loops, and A/B testing for cost-efficiency and reliability.</li></ul>Leadership &amp; Collaboration:<ul><li>Lead cross-functional teams to integrate AI into existing workflows, enhancing efficiency in underwriting, binding authority, and operations.</li><li>Develop robust benchmarks, evaluation metrics, and monitor model drift/bias in large insurance datasets.</li><li>Stay ahead of AI advancements, mentoring juniors and presenting insights to stakeholders.</li></ul>Qualifications &amp; Talents:<ul><li>Bachelor&rsquo;s/master&rsquo;s in computer science, Statistics, Data Science, or related field.</li><li>10+ years in ML/Data Science, with 3+ years leading GenAI projects in insurance/finance.</li><li>Expertise in Python, ML libraries (Pandas, NumPy, scikit-learn, TensorFlow, PyTorch), and GenAI frameworks (LangChain, LangGraph).</li><li>Strong stats, algorithms, data structures; experience with large datasets, visualization (Matplotlib, Seaborn, Tableau).</li><li>Excellent communication, problem-solving, and team leadership skills.</li><li>Passion for AI innovation and insurance domain knowledge (e.g., binding authority, actuarial models).</li></ul>Pay: $70.00 - $75.00 per hourBenefits:<ul><li>Referral program</li></ul>Work Location: Hybrid remote in Chicago, IL 60617

Lead Data Scientist

TransUnion

<div>TransUnion's Job Applicant Privacy Notice
Personal Information We Collect
Your Privacy Choices
What We'll Bring:
At TransUnion, we strive to build an environment where our associates are in the driver&rsquo;s seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day.
 
 
Come be a part of our team &ndash; you&rsquo;ll work with great people, pioneering products and cutting-edge technology.
What You'll Bring:
<ul><li>Master&rsquo;s or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. A track record of academic excellence
</li><li>At least four (4) years of professional experience performing analytic work in Financial Services or related industries
</li><li>Multiple examples of demonstrated success in client-facing roles over a period of at least three (3) years
</li><li>Advanced programming skills; mastery of a statistical language such as R or SAS; experience using other programming and data manipulation languages (SQL, Hive, Pig, Python, C/C++, Java); familiarity with relational, MPP, and/or Hadoop data management frameworks; proficiency with Microsoft Office tools
</li><li>Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment
</li><li>Strong project management skills with the ability to manage multiple assignments effectively
</li></ul>We&rsquo;re also looking for the preferred skills below. Whether you are proficient or could use some brushing up, we&rsquo;re happy to support your development in :
<ul><li>An understanding of current industry challenges and trends at the level needed to proactively identify customers&rsquo; analytical needs and related business opportunities
</li></ul>Impact You'll Make:
At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation we&rsquo;re &ndash; consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius.
The Financial Services Analytics team is an industry recognized, client-facing department that rewards an entrepreneurial spirit. We have deep technical expertise and an established reputation as an analytic solutions provider in the Financial Services industry. We have a wealth of data and industry experience within our large group of highly-trained analysts, statisticians, engineers, and economists. We also have a modern computing environment based on best-in-class &ldquo;big data&rdquo; technologies and the freedom to explore new data sources and statistical and machine learning methodologies. All of these resources will enable you to help us deliver next-generation analytic solutions for our customers.
You will apply your analytical skills to work on all aspects of the account lifecycle in the consumer credit domain on behalf of a diverse set of clients, ranging from marketing and propensity models for customer acquisition and retention, fraud detection solutions, credit risk models for acquisition and account management, cross-sell applications, portfolio models for regulatory applications, event-based trigger solutions, and strategy analyses of various kinds. You will also develop complex analytic solutions directly with TransUnion customers, business partners and other departments.
This position is responsible for developing credit risk management and business intelligence analytic solutions through consulting engagements and research serving TransUnion&rsquo;s clients. This position requires an understanding of US consumer lending and credit risk management practices.
<ul><li>You will partner with internal and external cross-functional teams to drive new business initiatives and deliver long term value-added product propositions for B2B customers in the US financial services segment at TransUnion. This includes but is not limited to the development of predictive risk management and business intelligence solutions for credit card issuers, auto &amp; mortgage lenders, collections agencies and retail banks.
</li><li>You will lead analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging a variety of techniques (e.g., segmentation, logistic regression, survival analysis, principal component analysis, Monte Carlo simulation, scenario and sensitivity analysis).
</li><li>You will design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, SAS, SQL, Hive, and Pig on Linux, PC, and mainframe computing platforms.
</li><li>You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience.
</li><li>You will develop project proposals, sales presentations and promotional collateral to enable the adoption of integrated customer solutions supported by TransUnion.
</li><li>You will identify strategies and opportunities for customers to test and adopt TransUnion&rsquo;s analytic products and services.
</li><li>You will provide mentorship and training to junior colleagues and maintain progress on all initiatives under limited direct supervision.
</li><li>You will foster a high performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.
</li></ul>Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act.
Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company&rsquo;s reputation are also essential expectations of this position.
This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.
Benefits:
TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion&rsquo;s Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans.
We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans&rsquo; Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion&rsquo;s Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com.
<h2 class="jobSectionHeader">Pay Scale Information :
</h2>The U.S. base salary range for this position is $90,000.00 - $150,000 annually. *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual&rsquo;s education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations.
Regular, fulltime non-sales positions may be eligible to participate in TransUnion&rsquo;s annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents. 
 
TransUnion's Internal Job Title:
Sr Consultant, Data Science and Analytics
Company:
TransUnion LLC</div>

Hazel Seybert Consulting

We are Hazel Seybert Consulting - A boutique consulting firm dedicated to helping leaders and their teams transform their business, particularly in the area of analytics and project management. OverviewWe are seeking a high-impact Internal Supply Chain Consultant to act as a strategic utility player within our Supply Chain team. Reporting directly to the Sr. Director of Supply Chain Inventory, you will bridge the gap between data-driven problem identification and operational execution. This role is designed for a &quot;boots-on-the-ground&quot; strategist who can numerically diagnose root causes&mdash;such as evaluating the financial and operational case for decommissioning a distribution center&mdash;and then pivot to lead the project through to a successful launch. You are part data scientist, part project manager, and part cross-functional diplomat.What You Will Do<ul><li>Numerical Problem Solving: Identify supply chain bottlenecks and root causes through rigorous data analysis; build the business case for major shifts (e.g., DC launches or closures) using financial modeling and KPIs.</li><li>Execution &amp; Playbook Management: Utilize project management tools and established playbooks to lead large-scale initiatives from inception to the &quot;finish line.&quot;</li><li>Cross-Functional Facilitation: Host and lead joint meetings between Inventory and Operations to align on solving high-stakes problems and ensure transparent communication.</li><li>Milestone Tracking &amp; KPIs: Define, track, and report on critical milestones and performance metrics to ensure new facilities or processes meet their intended ROI at launch.</li><li>Internal Advisory: Lead internal maturity assessments of our sourcing, procurement, and operational practices to identify gaps and develop executable improvement plans.</li><li>Strategy to Action: Determine the correct methodology (Lean, Six Sigma, etc.) to solve a specific problem and partner with stakeholders to capture savings and efficiency gains.</li></ul>Ideal Profile<ul><li>The Utility Player: You are a self-starter who takes total ownership, moving fluidly between a high-level strategy presentation and a detailed project plan.</li><li>The Analytical Consultant: You have a creative mind for data and can articulate complex technical concepts&mdash;and their business impacts&mdash;to everyone from warehouse staff to executives.</li><li>The Finisher: You are obsessed with getting a problem to the finish line, ensuring that solutions are not just suggested but fully operationalized.</li><li>Collaborative Leader: You excel at managing &quot;the middle,&quot; keeping both Inventory and Ops teams accountable and focused on a singular goal.</li></ul>Required Experience<ul><li>Background: 5 to 7 years of experience in a supply chain optimization or consulting environment.</li><li>Location: Ability to work on-site in the Chicago, IL area.</li><li>Education: Bachelor&rsquo;s degree in Supply Chain Management, Logistics, or a related field.</li><li>Technical Skills: Proficiency in Microsoft Office (Advanced Excel and PowerPoint); experience with Power BI or Tableau for data visualization is preferred.</li><li>Certifications (Nice to Have): PMP, Lean Six Sigma Green Belt, CSCM, or CPSM certifications.</li></ul>Job Type: Full-timeBenefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li><li>Vision insurance</li></ul>Work Location: Hybrid remote in Chicago, IL 60617

Manager, Supply Chain Optimization & Execution

84.51°

<div><div>84.51&deg; Overview:

84.51&deg; is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.

Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51&deg; Insights, 84.51&deg; Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.

84.51&deg; follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection.

Join us at 84.51&deg;!

__________________________________________________________</div> 
Senior Data Scientist / P3358

Summary

We are seeking a Senior Data Scientist to join our Proprietary Models team. In this role, you will play a critical part in developing, evaluating, and democratizing our foundation models portfolio&mdash;including embeddings, pre-trained LLMs, and fine-tuned language models. You will build and optimize embedding pipelines, design rigorous evaluation frameworks, drive models from experimentation to production, and guide business stakeholders through the process of integrating these models into their workflows. The ideal candidate combines deep technical expertise in machine learning and AI with strong problem-solving abilities, a commitment to engineering excellence, and a passion for enabling others to leverage AI effectively.

Responsibilities

Your work will cover a lot of ground, from engineering data pipelines to testing novel AI methodologies to guiding business stakeholders. You will be expected to flex between these skill domains as work progresses through its lifecycle, and to collaborate within a team to make it all happen.
<ul>
<li>Develop and optimize embedding pipelines for vector search, retrieval-augmented generation (RAG), and downstream ML applications.</li>
<li>Conduct rigorous model testing, evaluation, and validation against quality metrics, performance benchmarks, and reliability standards prior to release.</li>
<li>Design and execute proof of concepts to demonstrate feasibility for specific business problems.</li>
<li>Build and maintain automated testing frameworks for model performance, data quality, and pipeline integrity.</li>
<li>Collaborate with MLE/Researchers/Engineers to develop, fine-tune, and deploy foundation models.</li>
<li>Perform exploratory data analysis (EDA), feature engineering, and data preprocessing to support model development.</li>
<li>Develop and maintain Jupyter notebooks, scripts, and workflows for reproducible experimentation and analysis.</li>
<li>Contribute to building and maintenance of code packages, APIs, hosted applications, and other foundation model delivery mechanisms.</li>
<li>Troubleshoot integration challenges and provide technical guidance for model integrations.</li>
<li>Guide business stakeholders, data science and engineering teams through adoption and integration of foundation embedding and generative AI models.</li>
<li>Create documentation, user guides, and best practices for internal model adoption and usage.</li>
<li>Serve as a liaison between the Foundation Models team and business stakeholders, gathering feedback to inform the development roadmap.</li>
</ul>
Qualifications and Experience

Required
<ul>
<li>Bachelor's degree in Data Science, ML, Computer Science, or a related discipline</li>
<li>3+ years of hands-on experience in data science or machine learning roles</li>
<li>3+ years' experience building in Python using big data tools (e.g. Hadoop, Databricks)</li>
<li>Hands-on experience building processes incorporating LLMs, embeddings, or related model architecture</li>
<li>Experience applying embeddings within AI projects and machine learning applications</li>
<li>Track record of shipping, measuring, and maintaining machine learning models in production</li>
<li>Exceptional communication skills with ability to explain complex technical concepts to non-technical audiences</li>
<li>Experience in stakeholder management, technical documentation creation, and cross-functional collaboration</li>
</ul>
Preferred
<ul>
<li>Experience building in cloud data platforms (i.e. Azure, GCP)</li>
<li>Previous developer relations, technical evangelism, or advocacy experience</li>
<li>Background in NLP, conversational AI, or generative AI applications</li>
<li>Open-source contributions or thought leadership in AI/ML community</li>
</ul>
#LI-SSS</div>

Senior Data Scientist (P3358)

<div><div>84.51&deg; Overview:

84.51&deg; is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.

Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51&deg; Insights, 84.51&deg; Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.

84.51&deg; follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection.

Join us at 84.51&deg;!

__________________________________________________________</div><h1 class="jobSectionHeader"> 
Senior Data Scientist Consultant, SPI &ndash; Agent Platform Team</h1>
<h2 class="jobSectionHeader">Summary</h2>

The Agent Platform Team, within AI Enablement at 84.51&deg;, owns and manages the core platforms that power data science and AI across the organization. This role sits on the SPI (Science Platform Innovation) squad and is focused specifically on the Databricks environment and its evolving AI/ML capabilities.

You will be the bridge between the engineers building and maintaining our Databricks platform and the data scientists who use it every day. You are not building models for end-clients. Instead, you ensure the platform behaves as expected for the people on it&mdash;that new capabilities are tested, documented, and adopted smoothly, and that practitioner pain points make it back to the platform team in a way that shapes the roadmap.

You'll build deep familiarity with Databricks' infrastructure and AI powered capabilities &mdash;including Genie Code, Genie spaces, Agent Bricks, MLflow, and other features as they emerge&mdash;as well as the Unity Catalog governance layer that underpins them. You'll test and evaluate new Databricks features and relevant third-party integrations from the perspective of an end-user, document your findings, and help the team decide what to adopt, how to roll it out, and what to skip.

This is a small, highly collaborative squad. Everyone pitches in on a bit of everything. Priorities shift frequently as the Databricks roadmap evolves. Success in this role is less about fixed technical expertise and more about comfort with ambiguity, good judgment about where to spend your time, and the ability to influence without direct authority.
<h2 class="jobSectionHeader">
Responsibilities</h2>
<ul><li>Voice of the practitioner: Serve as the primary liaison between data scientists using Databricks and the platform engineering team. Gather requirements, surface pain points, and translate practitioner needs into actionable feedback that shapes platform decisions and roadmaps.</li>
<li>Technology evaluation: Lead the testing and evaluation of new Databricks capabilities (e.g., Mosaic AI features, Model Serving enhancements, Genie, new Unity Catalog functionality) and relevant third-party tools. Document findings, recommended use cases, limitations, and rollout considerations. Over time, this may evolve from hands-on beta testing toward designing and coordinating evaluation efforts across groups of practitioners.</li>
<li>Onboarding &amp; enablement: Write guides, maintain documentation, lead training sessions, and run office hours to help data scientists adopt new platform capabilities. Partner with Learning &amp; Development where appropriate. Serve as a first line of support when teams hit roadblocks.</li>
<li>Adoption &amp; communication: Evangelize Databricks capabilities to increase awareness and drive adoption. Produce clear release notes, communications, and materials for both technical and non-technical audiences.</li>
<li>Cross-functional collaboration: Work closely with the solution architect, cloud engineer, and product senior on the squad to ensure proposed technologies have well-defined use cases and that guidelines and best practices are established. Act as a data science ambassador to cross-functional teams, explaining recommended workflows and the reasoning behind platform choices.</li>
<li>Governance &amp; compliance support: Help validate that new platform capabilities meet enterprise requirements around security, compliance, observability, and data governance (e.g., Unity Catalog lineage, Azure connectivity).</li>
</ul><h2 class="jobSectionHeader">Qualifications &amp; Experience</h2>
<ul><li>Bachelor's degree in mathematics, statistics, computer science, economics, or a related discipline.</li>
<li>2&ndash;4 years of experience in data science, AI/ML development, or applied analytics.</li>
<li>2&ndash;4 years of experience in tech consulting, retail analytics, or related professional services.</li>
<li>Hands-on experience with Python, SQL, and PySpark.</li>
<li>Experience gathering user needs, documenting requirements, and driving issues to resolution with technical teams.</li>
<li>Experience partnering with software engineering and/or product management teams.</li>
<li>Familiarity with LLMs, prompt engineering, or agentic AI concepts is a strong plus.</li>
<li>Experience with the Databricks ecosystem (Unity Catalog, MLflow) is a strong plus.</li>
<li>Exposure to agent frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen) is a plus.</li>
</ul><h2 class="jobSectionHeader">Skills</h2>
<ul><li>Strong written and verbal communication, including the ability to explain technical concepts clearly to non-technical audiences and produce high-quality documentation.</li>
<li>Ability to influence across teams and seniority levels without direct authority.</li>
<li>Comfort operating in ambiguity&mdash;priorities shift frequently, and you need good instincts about where to focus.</li>
<li>Strong project and time management skills; able to manage multiple priorities with minimal oversight.</li>
<li>Curiosity and enthusiasm for emerging AI technologies and a genuine desire to become a subject matter expert on the Databricks platform and its AI capabilities.</li></ul> 


#LI-SSS</div>

Senior Data Scientist Consultant - Agentic Platform (P2393)

QuantumBlack, AI by McKinsey

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 As a Data Scientist II, you will collaborate with clients and interdisciplinary teams to understand client needs, develop impactful advanced analytics and AI solutions, optimize code, and solve complex business challenges across industries.
 
 
 You will grow your expertise by contributing to cutting-edge projects, R&amp;D, and global conferences while working alongside top-tier talent in a dynamic, innovative environment.
 
 
 Your work will drive meaningful change. By uncovering patterns in data and delivering innovative solutions, you&rsquo;ll help clients stay competitive, transform operations, and achieve lasting improvements. Here&rsquo;s how you might contribute in a given year:
 
 
 <ul>
 <li>
 Build a digital twin of a defense supply chain to enhance military hardware availability.
 </li>
 <li>
 Leverage agentic AI to improve customer service outcomes for a global travel company.
 </li>
 <li>
 Optimize the schedule and funding of a multi-billion-dollar capital project to accelerate delivery.
 
 
 </li>
 </ul>
 You&rsquo;ll contribute to projects across industries and data science expertise areas, eventually choosing your own path to build your expertise and skills. You should expect this role to include at least some work in critical industries (Aerospace, Defense, Utilities, Oil and Gas), but you will have the ability to serve other industries as well.
 
 
 Day to day, you&rsquo;ll tackle complex challenges in partnership with senior data scientists, engineers, designers, and domain experts. You will:
 
 
 <ul>
 <li>
 Translate business questions into analytical approaches and select the right techniques for each problem
 </li>
 <li>
 Conduct exploratory data analysis
 </li>
 <li>
 Design, implement, and evaluate models&mdash;from traditional machine learning to deep learning to LLMs -- using rigorous metrics and A/B tests. When appropriate, you&rsquo;ll build production-grade RAG pipelines and assess LLM output quality / hallucinations
 </li>
 <li>
 Deploy models via APIs or batch pipelines, write unit tests, and set up monitoring dashboards to track performance and drift
 </li>
 <li>
 Document assumptions, communicate results in clear, actionable language, and collaborate with engineers to integrate solutions into user-facing applications.
 </li>
 <li>
 Build models which are accurate, explainable, and free from bias
 </li>
 <li>
 Optimize inference latency and cost through parameter-efficient tuning, quantization, and accelerated serving stacks
 
 
 </li>
 </ul>
 Additionally, you will contribute to internal tools, participate in R&amp;D projects, and have opportunities to attend and present at leading conferences like NIPS and ICML.
 
 
 You will be based in one of our North America locations and collaborate closely with data scientists, data engineers, machine-learning engineers, designers, and product managers around the world.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science with 2+ years of professional experience OR Masters or PhD a discipline such as computer science, mathematics, statistics or electrical engineering
 </li>
 <li>
 Professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data
 </li>
 <li>
 Development experience (focus on machine learning): SQL and Python&rsquo;s data-science stack; proficiency with Spark/PySpark for distributed workloads. We use the right tech for the task and often work within clients&rsquo; stacks. Technologies you may encounter include Airflow, Databricks, Dask/RAPIDS, containerization with Docker and Kubernetes, and the major clouds (AWS, GCP, Azure, Oracle)
 </li>
 <li>
 GenAI experience a plus: parameter-efficient tuning, RAG architectures, vector-store technologies, LLM evaluation
 </li>
 <li>
 Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
 </li>
 <li>
 Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels
 </li>
 <li>
 Willingness to travel
 </li>
 </ul>
</div>

Data Scientist II - QuantumBlack, AI by McKinsey

<div><h2 class="jobSectionHeader">Description</h2>
<div>
Our Health and Benefits business helps large and mid-size clients control health and welfare plan costs, improve health outcomes and promote employee engagement through broad-based, state-of-the-art interventions. We provide solutions encompassing creative plan design, vendor evaluation and management, pricing and funding strategies, data analytics, valuation support, legal compliance and governance strategies. We also provide specialty consulting services including clinical/health management program design, pharmacy solutions, disability/absence management strategies and claims audit services. Product-based solutions such as our pharmacy purchasing coalition round out our broad-based suite of offerings. 


About the role 


The Principal Data Engineer is a senior, hands‑on technical leader responsible for designing, building, and evolving scalable, reliable, and cost‑efficient data and analytic platforms that power analytics, reporting, and advanced AI/predictive use cases. This role sets engineering standards, drives platform modernization, and mentors engineering teams while partnering closely with architecture, analytics, product, and governance stakeholders. 


Technical Leadership &amp; Architecture
<ul>
<li>Lead the design and evolution of enterprise‑scale data platforms, including ingestion, transformation, storage, and consumption layers</li>
<li>
Define and enforce data engineering standards, patterns, and best practices (e.g., pipeline design, testing, CI/CD, observability)</li>
<li>
Serve as a technical authority on data architecture decisions, trade‑offs, and platform strategy</li>
</ul>
Platform &amp; Pipeline Engineering
<ul>
<li>Design, build, and optimize high‑performance batch and streaming data pipelines</li>
<li>
Improve reliability, performance, scalability, and cost efficiency of existing data assets</li>
<li>
Implement reusable frameworks and reference architectures to accelerate delivery across teams</li>
</ul>
Databricks &amp; Lakehouse Focus (Strongly Preferred)
<ul>
<li>Design and operate Databricks‑based lakehouse solutions using Delta Lake, Spark, and notebooks/jobs</li>
<li>Establish best practices for Databricks workspace architecture, security, performance tuning, and cost management</li>
<li>Lead or support migrations to Databricks and modernization of legacy data pipelines</li>
</ul>
Data Quality, Governance &amp; Security
<ul>
<li>Partner with data governance and security teams to embed data quality checks, metadata, lineage, and access controls into pipelines</li>
<li>Ensure platforms support regulatory, compliance, and enterprise risk requirements</li>
</ul>
Cross‑Functional Collaboration
<ul>
<li>Work closely with data architects, analytic engineers, data scientists, product owners, and business stakeholders</li>
<li>Translate business and analytic requirements into scalable technical solutions</li>
<li>Influence roadmaps by tying platform investments to measurable business outcomes</li>
</ul>
Mentorship &amp; Engineering Excellence
<ul>
<li>Mentor senior and mid‑level engineers; raise the overall technical bar of the team</li>
<li>Lead by example through hands‑on contribution to critical pipelines and platform components</li>
</ul></div><h2 class="jobSectionHeader">Qualifications</h2>
<div>
The Requirements
<ul>
<li>University or college degree in Computer Science, Information Systems, Mathematics, Engineering, Statistics, or related field of study.</li>
<li>8+ years of experience in data engineering or platform engineering roles</li>
<li>Deep expertise in building large‑scale data pipelines and platforms in cloud environments (Azure, AWS, or GCP)</li>
<li>Strong proficiency with distributed data processing (e.g., Spark)</li>
<li>Advanced SQL and strong Python programming skills</li>
<li>Experience designing data models and architectures for analytics and downstream consumption</li>
<li>Experience in data ingestion tools such as Matillion, FiveTran, Airbyte, etc. a plus</li>
<li>Strong analytical skills and experience with data modeling</li>
<li>Strong project management and organizational skills</li>
<li>Proven ability to work independently and with a team</li>
<li>Extensive hands‑on experience with Databricks and Lakehouse architecture strongly preferred</li>
<li>Experience with Delta Lake, Spark optimization, and cost/performance tuning strongly preferred</li>
<li>Experience supporting advanced analytics, machine learning, or AI‑driven use cases</li>
<li>Familiarity with modern data tooling (e.g., orchestration, data quality frameworks, metadata/catalog tools)</li>
<li>Prior experience setting engineering standards or leading platform modernization initiatives</li></ul> 


Technical Competencies

Subject Matter Expertise 

<ul>
<li>Developing expertise<ul>
<li>You strengthen your depth and/or breadth of subject matter knowledge and skills across multiple areas.</li>
<li>You define the expertise required in your area based on emerging technologies, industry practices. You build the team&rsquo;s capability accordingly.</li>
</ul></li><li>Applying expertise<ul><li>

You apply subject matter knowledge and skills across multiple areas to assess the impact of complex issues and implement long-term solutions. You foster innovation using subject matter knowledge to enhance tools, practices, and processes for the team. 

</li></ul>
</li></ul>Solution Development
<ul>
<li>Systems thinking<ul>
<li>You lead and foster collaboration across H&amp;B Data Platform Technology to develop solutions to complex issues.</li>
<li>You apply a whole systems approach to evaluating impact, and take ownership for ensuring links between structure, people and processes are made.</li>
</ul></li><li>Focusing on quality<ul><li>

You instill a quality mindset to the team and ensure the appropriate methods, processes and standards are in place for teams to deliver quality solutions. You create and deliver improvement initiatives. 

</li></ul>
</li></ul>Technical Communication
<ul>
<li>Simplifying complexity<ul><li>
You develop tools, aids and/or original content to support the delivery and/or understanding of complex information. You guide others on best practice.</li></ul>
</li><li>Influencing stakeholders<ul><li>
You are adaptive across a range of situations, effectively tailoring your delivery methods based on your knowledge of stakeholders to have maximum impact and influence.</li></ul>
</li>
</ul>This position will remain posted for a minimum of three business days from the date posted or until sufficient/appropriate candidate slate has been identified. 


Compensation and Benefits 


Benefits information for this position are being included in accordance with requirements of various state/local pay transparency legislation. Please note that salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, qualifications/experience, performance in the role and potential for revenue generation (Producer roles only). 


Compensation

The base salary compensation range being offered for this role is $180,000.00-$225,000.00 USD annually.

This role is also eligible for an annual short-term incentive bonus. 


Company Benefits

WTW provides a competitive benefit package which includes the following (eligibility requirements apply):
<ul>
<li>Health and Welfare Benefits: Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Group Accident, Group Critical Illness, Life Insurance, AD&amp;D, Group Legal, Identify Theft Protection, Wellbeing Program and Work/Life Resources (including Employee Assistance Program)</li>
<li>
Leave Benefits: Paid Holidays, Annual Paid Time Off (includes paid state/local paid leave where required), Short-Term Disability, Long-Term Disability, Other Leaves (e.g., Bereavement, FMLA, ADA, Jury Duty, Military Leave, and Parental and Adoption Leave), Paid Time Off</li>
<li>
Retirement Benefits: Contributory Pension Plan and Savings Plan (401k). All Level 38 and more senior roles may also be eligible for non-qualified Deferred Compensation and Deferred Savings Plans.</li></ul> 


Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles County Fair Chance Ordinance for Employers, we will consider for employment qualified applicants with arrest and conviction records. 


EOE, including disability/vets</div></div>

Principal Data Engineer - H&B Data & Analytics Platform

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