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Industry/SectorHealth ServicesSpecialismOperationsManagement LevelSenior AssociateJob Description &amp; SummaryAt PwC, our people in operations consulting specialise in providing consulting services on optimising operational efficiency and effectiveness. These individuals analyse client needs, develop operational strategies, and offer guidance and support to help clients streamline processes, improve productivity, and drive business performance. As an operations consulting generalist at PwC, you will possess a broad understanding of various aspects of operations consulting. You will provide comprehensive guidance and support to clients in optimising operational efficiency and effectiveness. Working in this area, you will analyse client needs, develop operational solutions, and offer recommendations tailored to specific business requirements.Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:<ul><li>Respond effectively to the diverse perspectives, needs, and feelings of others.</li><li>Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.</li><li>Use critical thinking to break down complex concepts.</li><li>Understand the broader objectives of your project or role and how your work fits into the overall strategy.</li><li>Develop a deeper understanding of the business context and how it is changing.</li><li>Use reflection to develop self awareness, enhance strengths and address development areas.</li><li>Interpret data to inform insights and recommendations.</li><li>Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm&#39;s code of conduct, and independence requirements.</li></ul>The OpportunityAs part of the Operations Consulting team, you will design and build a next-generation analytics platform tailored for healthcare payers. As a Senior Associate, you will analyze complex problems, mentor junior team members, and maintain exemplary standards while building meaningful client relationships and navigating increasingly complex situations. This role offers the chance to work alongside healthcare experts and data scientists, directly influencing client outcomes and contributing to innovative solutions in a dynamic consulting environment.Responsibilities- Design and implement advanced analytics solutions for healthcare payers- Analyze intricate challenges and develop actionable insights- Mentor and guide junior team members in their professional growth- Maintain exceptional standards in deliverables- Build and nurture substantial relationships with clients- Navigate complex project environments and adapt to changing needs- Collaborate with healthcare experts and data scientists to drive innovation- Contribute to the development of impactful solutions in a consulting settingWhat You Must Have- Bachelor&#39;s Degree- At least 4 years of experience in software engineering or data engineeringWhat Sets You Apart- Master&#39;s Degree in Computer Science, Data Engineering, Software Engineering preferred- Experience operating dbt at scale on Databricks- Prior work with healthcare analytics packages- Designing CI/CD pipelines for Databricks Asset Bundles- Provisioning Azure Databricks workspaces and managing isolation patterns- Building Python CLI tools with argparse and YAML configuration- Designing AI agent systems for development workflows- Familiarity with corporate network constraints- Experience with multi-cloud data flowsTravel RequirementsUp to 80%Job Posting End DateThe salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws.  At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

Payer Dev, Git & ML-Ops Engineer, Senior Associate

Payer Dev, Git & ML-Ops Engineer

Bachelor's degree; 4+ years software or data engineering; experience with dbt on Databricks; healthcare analytics experience; CI/CD pipelines for Databricks; Azure Databricks workspace provisioning; Python CLI tools.

Industry/SectorNot ApplicableSpecialismProduct InnovationManagement LevelSenior ManagerJob Description &amp; SummaryAt PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences.Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:<ul><li>Craft and convey clear, impactful and engaging messages that tell a holistic story.</li><li>Apply systems thinking to identify underlying problems and/or opportunities.</li><li>Validate outcomes with clients, share alternative perspectives, and act on client feedback.</li><li>Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.</li><li>Deepen and evolve your expertise with a focus on staying relevant.</li><li>Initiate open and honest coaching conversations at all levels.</li><li>Make difficult decisions and take action to resolve issues hindering team effectiveness.</li><li>Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm&#39;s code of conduct, and independence requirements.</li></ul><div><div>Key Responsibilities </div><div><ul><li>Lead assessment, planning, and execution of full stack application migrations to AWS. </li></ul></div><div><ul><li>Analyze existing application portfolios for cloud readiness, dependencies, and modernization opportunities. </li></ul></div><div><ul><li>Architect end-to-end migration solutions including re-hosting, re-platforming, and refactoring of front-end, back-end, and data components. </li></ul></div><div><ul><li>Design AWS-native architectures using Lambda, EC2, ECS/EKS, API Gateway, RDS, DynamoDB, S3, CloudFront, Cognito, and IAM. </li></ul></div><div><ul><li>Develop Infrastructure as Code using Terraform, CloudFormation, or AWS CDK. </li></ul></div><div><ul><li>Implement CI/CD pipelines incorporating AI-powered code quality gates, automated security scanning, and AI-assisted deployment validation. </li></ul></div><div><ul><li>Define and drive AI-native engineering strategy across teams, establishing standards for AI tool adoption, measuring productivity gains, and reporting efficiency metrics to leadership. </li></ul></div><div><ul><li>Lead and mentor engineering teams on modern development frameworks (React, Angular, Vue.js) and backend technologies (Node.js, Java, Python) with AI-augmented workflows as the default. </li></ul></div><div><ul><li>Design applications with AI agent integration points, evaluating and architecting agentic AI solutions within modernization and migration initiatives. </li></ul></div></div><div><div><ul><li>Implement AWS security best practices and govern identity, compliance, and networking. </li></ul></div><div><ul><li>Collaborate with DevOps, Security, QA, and business teams for delivery excellence. </li></ul></div><div><ul><li>Use CloudWatch, X-Ray, and CloudTrail for observability and performance optimization. </li></ul></div><div><ul><li>Evaluate emerging AI development tools and platforms; set adoption strategy and measure ROI for the engineering organization. </li></ul></div><div><ul><li>Maintain architecture and migration documentation. </li></ul></div><div> </div><div>AI-Native Engineering Expectations </div><div><ul><li>Use AI coding assistants (GitHub Copilot, Cursor, Claude Code, Codex, Kiro) as your default development workflow and define the AI-native engineering strategy for the organization. </li></ul></div><div><ul><li>Evaluate emerging AI development tools and platforms; set adoption strategy and measure ROI. </li></ul></div><div><ul><li>Establish organization-wide standards for AI-assisted development, code review, testing, and deployment. </li></ul></div><div><ul><li>Drive measurable efficiency gains through AI tool adoption and report metrics to leadership. </li></ul></div><div><ul><li>Architect applications with AI agent integration points, leveraging agentic AI frameworks (LangChain, Claude Agent SDK, Bedrock Agent SDK). </li></ul></div><div><ul><li>Mentor engineering leaders and teams on AI-native practices as the standard operating model. </li></ul></div><div> </div><div>Required Qualifications </div><div><ul><li>Bachelor&#39;s or Master&#39;s degree in Computer Science, Engineering, or related field. </li></ul></div><div><ul><li>15&#43; years of experience in software engineering and architecture. </li></ul></div><div><ul><li>6&#43; years of hands-on AWS experience including modernization or migration. </li></ul></div><div><ul><li>Daily proficiency with AI coding assistants (GitHub Copilot, Cursor, Claude Code, Codex, or Kiro) with a track record of establishing AI-native engineering practices across teams. </li></ul></div><div><ul><li>Experience evaluating and adopting new AI development tools and platforms for engineering organizations. </li></ul></div></div><div><div><ul><li>Hands-on experience with agentic AI frameworks including LangChain, Claude Agent SDK, and Bedrock Agent SDK. </li></ul></div><div><ul><li>Experience designing applications with AI agent integration points and understanding how agentic AI intersects with the application layer. </li></ul></div><div><ul><li>Ability to measure and report AI-driven efficiency metrics to leadership. </li></ul></div><div><ul><li>Proficiency in front-end frameworks such as React, Angular, or Vue.js. </li></ul></div><div><ul><li>Strong back-end development skills with Node.js, Java, Python, or equivalent. </li></ul></div><div><ul><li>Experience migrating legacy applications to AWS using methodologies like lift-and-shift, re-platforming, and refactoring. </li></ul></div><div><ul><li>Hands-on experience with AWS services including Lambda, S3, RDS, DynamoDB, API Gateway, CloudFront, Cognito, IAM. </li></ul></div><div><ul><li>Strong knowledge of Infrastructure as Code (Terraform, CloudFormation, CDK). </li></ul></div><div><ul><li>Familiarity with containerization and orchestration tools (Docker, Kubernetes, ECS/EKS). </li></ul></div><div><ul><li>Strong understanding of application security, identity management, and cloud governance in AWS. </li></ul></div><div><ul><li>Strong communication, leadership, and stakeholder management skills. </li></ul></div><div><ul><li>Proven track record leading cloud migration or modernization projects. </li></ul></div><div><ul><li>Knowledge of Agile methodology and practices. </li></ul></div><div><ul><li>Prior experience with microservices architecture, serverless patterns, and event-driven design. </li></ul></div><div> </div><div>Preferred Qualifications </div><div><ul><li>AWS Professional or Associate certifications. </li></ul></div><div><ul><li>DevOps experience (CI/CD pipelines using CodePipeline, GitHub Actions, Jenkins). </li></ul></div><div><ul><li>Experience with AWS migration tools (DMS, SCT, Migration Hub). </li></ul></div><div><ul><li>Experience working in enterprise multi-account AWS environments. </li></ul></div></div>Travel RequirementsUp to 60%Job Posting End DateThe salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws.  At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

Senior Manager, Solution Architect

Senior Manager

15+ years software engineering/architecture; 6+ years AWS; AI-native engineering; leading cloud migration/modernization; strong front-end and back-end skills; AWS security and IaC expertise.

<div class="content-intro">The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data.
At HumanSignal, we’re building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.
Our open-source product,&nbsp;Label Studio, has become the&nbsp;de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it’s the most widely adopted OSS solution for teams working on building AI systems.&nbsp;
Label Studio Enterprise&nbsp;builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we’re doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we’d love to talk.</div>Software Engineering Intern - AI Data Operations HumanSignal | Columbus, Ohio | Hybrid | Spring/Summer 2026
About Us HumanSignal builds Label Studio Enterprise, the data annotation platform trusted by Fortune 500 companies including Apple. We're expanding our 400+ person Columbus facility and need engineering talent to build systems that power AI training pipelines.
What You'll Build
<ul>
<li>Full-stack web applications for crowdsourced data collection with quality control workflows</li>
<li>Admin dashboards with bulk operations, analytics, and workflow management</li>
<li>Data pipelines integrating Label Studio, AWS S3, and automated quality checks</li>
<li>JSON transformation systems processing thousands of annotation files for enterprise clients</li>
</ul>
Technical Skills (Strong in Several Required)
<ul>
<li>Frontend:&nbsp;React, TypeScript, responsive UI, state management</li>
<li>Backend:&nbsp;Python (data processing, APIs, automation), RESTful design</li>
<li>Data:&nbsp;Database design, JSON manipulation, multi-status workflows</li>
<li>Deployment:&nbsp;Vercel, serverless functions, CI/CD</li>
</ul>
Bonus:&nbsp;AWS S3, email integration, real-time updates, admin dashboards
Who You Are
<ul>
<li>Ohio State engineering student (CS, Software Engineering, Data Science, or related)</li>
<li>Can architect solutions and ship working code autonomously</li>
<li>Comfortable with full-stack development and data pipelines</li>
<li>Interested in AI infrastructure and training data systems</li>
</ul>
Details
<ul>
<li>Location:&nbsp;Hybrid in Columbus (2-3 days/week in-office)</li>
<li>Compensation:&nbsp;$35-50/hour based on experience</li>
<li>Schedule:&nbsp;Flexible part-time or work-study arrangements</li>
<li>Duration:&nbsp;Minimum 12 weeks, potential for extension/conversion</li>
</ul>
To Apply Email resume, GitHub, and brief note to careers@humansignal.com including:
<ul>
<li>A technical challenge you've solved with data or workflows</li>
<li>Your availability and preferred start date</li>
</ul>
HumanSignal is committed to building a diverse team. We encourage applications from candidates of all backgrounds. We're moving fast—strong candidates will be interviewed on a rolling basis.
&nbsp;

HumanSignal | Columbus, Ohio | Hybrid | Spring/Summer 2026

Software Engineering Intern

Ohio State engineering student; experience with full-stack development (React/TypeScript, Python); data pipelines; JSON manipulation; REST APIs; familiarity with AWS S3 a bonus.

<h1>Chemical Abstracts Service (CAS)</h1>
BN31P2- Data Scientist CAS Columbus, OH
CAS uses unparalleled scientific content, specialized technology and unmatched human expertise to help R&D organizations across Commercial, Government and Academic sectors create groundbreaking innovations that benefit the world. As the Scientific Information Solutions Division of the American Chemical Society, CAS manages the largest curated reservoir of scientific knowledge, and for 111 years, has helped innovators mine, assess and apply that information to keep businesses thriving. The CAS team is global, diverse, endlessly curious and strives to make actionable scientific insights accessible to innovators worldwide.
CAS is currently seeking a Data Scientist. This position will be located in our headquarters in Columbus, Ohio.
Job Summary:
This is an individual contributor role on the Data Analytics and Insights (DAI) team, which carries a dual mandate: build production-grade agentic AI solutions that power CAS products, and lead the company in product innovation through emerging AI capabilities. You will develop and deliver agentic AI features across CAS’s product suite, including SciFinder, BioFinder, and our cross-domain omni-agent platform, working alongside senior engineers, product managers, and scientific domain experts. This role emphasizes hands-on software development, agentic system design, and engineering quality. Success in this role requires strong programming fundamentals, a genuine interest in agentic AI, and a collaborative mindset oriented toward building reliable, production-grade systems. Because CAS’s AI systems serve scientists and must be grounded in deep scientific content, candidates who combine strong software engineering skills with formal training in a scientific discipline relevant to CAS’s customers (chemistry, life sciences, materials science, or related fields) bring a valuable perspective and will find real opportunities to apply both dimensions of their expertise.
Job Accountabilities:
<ul>
<li>Develop and deploy agent-based workflows, retrieval-augmented generation (RAG) pipelines, and LLM-powered features within CAS products using Python, LangGraph/LangChain, and related tools.</li>
<li>Deliver clean, tested, well-documented software following team engineering standards, including unit, integration, and end-to-end tests, containerized development, and CI/CD practices.</li>
<li>Work with product managers, scientific domain experts, and engineering teams to translate business and research requirements into working technical solutions.</li>
<li>Contribute to evaluation frameworks for GenAI systems, focusing on accuracy, reliability, and continuous improvement of agentic features.</li>
<li>Build and operate solutions on cloud infrastructure (AWS, Azure, GCP, or similar), supporting the production deployment and ongoing operations of AI systems.</li>
<li>Use agentic software development tools such as Claude Code as a core part of the daily workflow to accelerate delivery and maintain quality.</li>
<li>Contribute to DAI’s product innovation mandate by prototyping and evaluating emerging AI capabilities for potential integration into CAS offerings.</li>
<li>Stay current with advances in generative AI and agentic architectures, and share knowledge with the team through demos, documentation, and internal learning sessions.</li>
</ul>
Qualifications:
<ul>
<li>Bachelor’s degree in Computer Science, Engineering, Data Science, or a related quantitative or scientific discipline, or equivalent practical experience.</li>
<li>2+ years of professional experience in software engineering, applied machine learning, or data science, with demonstrated delivery of working systems.</li>
<li>Hands-on experience building applications with large language models, including agentic workflows, RAG, prompt engineering, or similar patterns.</li>
<li>Strong Python programming skills with solid software engineering fundamentals (version control, testing, code review, documentation).</li>
<li>Experience with or strong interest in agentic AI frameworks such as LangGraph, LangChain, or equivalent platforms.</li>
<li>Proficiency with agentic software development tools (e.g., Claude Code or similar AI-assisted development environments).</li>
<li>Experience deploying and operating software in at least one cloud environment (AWS, Azure, or GCP).</li>
<li>Strong written and verbal communication skills, with the ability to work effectively in cross-functional teams.</li>
</ul>
Desired, But Not Required:
<ul>
<li>Formal training or a graduate degree in a scientific discipline relevant to CAS’s customer domains (chemistry, life sciences, materials science, or related fields), combined with strong software engineering skills. The ability to bridge scientific understanding and software development is one of the most valuable combinations a candidate can bring to this team, and candidates with this profile will be given strong consideration.</li>
<li>Graduate degree (M.S. or Ph.D.) in Computer Science, Engineering, Statistics, or a related field.</li>
<li>Experience with cloud AI/ML services and model hosting platforms.</li>
<li>Familiarity with containerized development workflows and API design.</li>
<li>Experience with evaluation frameworks for AI/ML systems, including accuracy, reliability, and cost optimization.</li>
</ul>
CAS offers a competitive salary and comprehensive benefits package, including a generous vacation plan, medical, dental, vision insurance plans, and employee savings and retirement plans. Candidates for this position must be authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future. EEO/Disabled/Veteran

BN31P2-Data Scientist

Data Scientist

Bachelor's in CS/Engineering/Data Science or related field; 2+ years software/ML experience; Python; LLM/agentic AI exp; cloud deployment; strong communication.

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