Analytics Consultant Jobs at Deloitte with Visa Sponsorship
Deloitte hires Analytics Consultants across its federal, commercial, and strategy practices, with roles spanning data modeling, business intelligence, and advanced analytics. The firm has a well-established sponsorship infrastructure that supports international candidates through H-1B, E-3, and employment-based Green Card pathways.
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Get Access To All JobsGenAI Full Stack Developer - Senior Consultant
Deloitte's Audit & Assurance professionals help organizations navigate business risks and opportunities—across financial, operational, information technology (IT), business, and regulatory areas—to build resilience and accelerate performance. In this role, you'll design and deliver end-to-end Generative AI (GenAI) solutions—including Retrieval-Augmented Generation (RAG) and agentic AI—that are production-ready, scalable, and aligned to enterprise risk and governance expectations.
Recruiting for this role ends on
Work you'll do
- Lead business and technical requirements elicitation with client stakeholders; own end-to-end gap analysis; translate needs into solution architecture, detailed technical specifications, and delivery-ready backlog artifacts.
- Drive design, build, test, and deployment of full-stack Generative AI (GenAI) applications (web user interface (UI), backend services, and data/model components); ensure non-functional requirements (security, performance, reliability) are met.
- Own end-to-end retrieval-augmented generation (RAG) implementations (ingestion, chunking, embedding, indexing, retrieval, orchestration); define prompt engineering standards and evaluation harnesses to measure quality and reduce hallucinations.
- Architect agentic AI workflows (tool-using agents, multi-step orchestration, multi-agent patterns); integrate into enterprise platforms and business processes with appropriate controls, auditability, and human-in-the-loop checkpoints.
- Lead model training, fine-tuning, and validation; establish evaluation approaches and key performance indicators (KPIs) for quality, robustness, bias/safety, and cost/latency; run benchmarking and iteration cycles to meet acceptance criteria.
- Own API and integration service design; deliver scalable RESTful interfaces; coordinate integration with downstream/upstream systems, identity and access management (IAM), and operational workflows.
- Lead extract, transform, load (ETL) and data engineering pipeline delivery to curate governed datasets for GenAI solutions; partner with data governance and risk teams on lineage, access controls, and data quality standards.
- Operationalize deployments using containerized patterns and cloud services; implement monitoring/observability (performance, cost, drift, quality signals) and drive continuous improvement through incident learnings and release management.
- Advise on emerging GenAI models, frameworks, and toolkits; prototype and recommend options with explicit tradeoffs across value, delivery effort, risk, compliance, and total cost of ownership (TCO).
- Collaborate with cross-functional teams (product, engineering, data, risk, and stakeholders) to deliver adoption-ready solutions and documentation.
The team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.
Qualifications
Required:
- Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field (advanced degree a plus).
- 4+ years of experience in software engineering, full stack development, and/or AI/ML solution delivery.
- Python programming (production-grade) and strong SQL.
- Natural Language Processing (NLP) applied to GenAI solutions.
- Agentic AI design/implementation, including LangChain, LangGraph, and LlamaIndex.
- Hands-on experience with RAG architectures and implementation.
- Strong prompt engineering (design, iteration, and evaluation).
- Experience with vector databases (e.g., Pinecone, Chroma, FAISS or similar) and embedding-based retrieval.
- Experience with GenAI model build: training, fine-tuning, and validation; practical LLM evaluation using common metrics.
- Experience with model deployment (serving, monitoring, iteration) and production hardening.
- Experience with containers (e.g., Docker) and scalable runtime patterns.
- Experience building ETL pipelines and data engineering solutions (data quality, preprocessing, and curation).
- API development and integration (RESTful services); backend development using FastAPI (or equivalent).
- Full stack web development with JavaScript/TypeScript.
- Proficiency with HTML/CSS and preprocessors (SASS/LESS).
- Experience with front-end frameworks (React, Angular, or Vue).
- Working knowledge of UI/UX design principles (accessibility, usability, responsive design).
- Experience with cloud AI/ML services across Azure, AWS, and GCP, including Vertex AI.
- You should reside within a commutable distance of your assigned office with the ability to commute daily, if required.
- You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations.
- Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
- Familiarity with AI/GenAI ethics, governance, and responsible AI implementation practices.
- Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $124,658 to $179,431.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
GenAI Full Stack Developer - Senior Consultant
Deloitte's Audit & Assurance professionals help organizations navigate business risks and opportunities—across financial, operational, information technology (IT), business, and regulatory areas—to build resilience and accelerate performance. In this role, you'll design and deliver end-to-end Generative AI (GenAI) solutions—including Retrieval-Augmented Generation (RAG) and agentic AI—that are production-ready, scalable, and aligned to enterprise risk and governance expectations.
Recruiting for this role ends on
Work you'll do
- Lead business and technical requirements elicitation with client stakeholders; own end-to-end gap analysis; translate needs into solution architecture, detailed technical specifications, and delivery-ready backlog artifacts.
- Drive design, build, test, and deployment of full-stack Generative AI (GenAI) applications (web user interface (UI), backend services, and data/model components); ensure non-functional requirements (security, performance, reliability) are met.
- Own end-to-end retrieval-augmented generation (RAG) implementations (ingestion, chunking, embedding, indexing, retrieval, orchestration); define prompt engineering standards and evaluation harnesses to measure quality and reduce hallucinations.
- Architect agentic AI workflows (tool-using agents, multi-step orchestration, multi-agent patterns); integrate into enterprise platforms and business processes with appropriate controls, auditability, and human-in-the-loop checkpoints.
- Lead model training, fine-tuning, and validation; establish evaluation approaches and key performance indicators (KPIs) for quality, robustness, bias/safety, and cost/latency; run benchmarking and iteration cycles to meet acceptance criteria.
- Own API and integration service design; deliver scalable RESTful interfaces; coordinate integration with downstream/upstream systems, identity and access management (IAM), and operational workflows.
- Lead extract, transform, load (ETL) and data engineering pipeline delivery to curate governed datasets for GenAI solutions; partner with data governance and risk teams on lineage, access controls, and data quality standards.
- Operationalize deployments using containerized patterns and cloud services; implement monitoring/observability (performance, cost, drift, quality signals) and drive continuous improvement through incident learnings and release management.
- Advise on emerging GenAI models, frameworks, and toolkits; prototype and recommend options with explicit tradeoffs across value, delivery effort, risk, compliance, and total cost of ownership (TCO).
- Collaborate with cross-functional teams (product, engineering, data, risk, and stakeholders) to deliver adoption-ready solutions and documentation.
The team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.
Qualifications
Required:
- Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field (advanced degree a plus).
- 4+ years of experience in software engineering, full stack development, and/or AI/ML solution delivery.
- Python programming (production-grade) and strong SQL.
- Natural Language Processing (NLP) applied to GenAI solutions.
- Agentic AI design/implementation, including LangChain, LangGraph, and LlamaIndex.
- Hands-on experience with RAG architectures and implementation.
- Strong prompt engineering (design, iteration, and evaluation).
- Experience with vector databases (e.g., Pinecone, Chroma, FAISS or similar) and embedding-based retrieval.
- Experience with GenAI model build: training, fine-tuning, and validation; practical LLM evaluation using common metrics.
- Experience with model deployment (serving, monitoring, iteration) and production hardening.
- Experience with containers (e.g., Docker) and scalable runtime patterns.
- Experience building ETL pipelines and data engineering solutions (data quality, preprocessing, and curation).
- API development and integration (RESTful services); backend development using FastAPI (or equivalent).
- Full stack web development with JavaScript/TypeScript.
- Proficiency with HTML/CSS and preprocessors (SASS/LESS).
- Experience with front-end frameworks (React, Angular, or Vue).
- Working knowledge of UI/UX design principles (accessibility, usability, responsive design).
- Experience with cloud AI/ML services across Azure, AWS, and GCP, including Vertex AI.
- You should reside within a commutable distance of your assigned office with the ability to commute daily, if required.
- You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations.
- Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
- Familiarity with AI/GenAI ethics, governance, and responsible AI implementation practices.
- Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $124,658 to $179,431.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
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Get Access To All JobsTips for Finding Analytics Consultant Jobs at Deloitte Jobs
Align your degree to Deloitte's specialty occupation standard
Deloitte's Analytics Consultant roles typically require a bachelor's degree or higher in a quantitative field like statistics, computer science, or economics. A degree in a general field paired with analytics coursework may face USCIS scrutiny, so document the direct connection between your major and the role's technical requirements before applying.
Target Deloitte's campus and experienced hire pipelines separately
Deloitte recruits Analytics Consultants through distinct tracks: campus hiring for recent graduates and experienced hire portals for professionals with two or more years in data or consulting. Applying through the wrong track lowers your visibility, so confirm which pipeline fits your background before submitting your application.
Clarify visa type eligibility before your offer conversation
Deloitte sponsors H-1B, H-1B1, and E-3 visas for this role, and each has different eligibility rules and timelines. Australian citizens should ask about E-3 processing early, since it bypasses the H-1B lottery and can move faster once you have a signed offer and certified Labor Condition Application from DOL.
Use Migrate Mate to surface open Analytics Consultant roles
Deloitte posts Analytics Consultant openings across multiple practice areas and locations, making it easy to miss relevant listings. Use Migrate Mate to filter specifically for Deloitte roles that have an active visa sponsorship record so you're applying to positions where sponsorship is already part of the hiring process.
Prepare for Deloitte's structured interview before discussing sponsorship
Deloitte's Analytics Consultant interviews combine case analysis with behavioral questions. Interviewers assess your analytical framework and communication before sponsorship logistics come up. Get your case performance to a strong level first so sponsorship discussions happen from a position of clear hire intent, not as a contingency.
Understand the H-1B cap timeline relative to your current status
If you're on OPT, the H-1B cap lottery in March determines whether you can maintain status past your OPT expiration. For an October 1 start, Deloitte's legal team typically initiates the LCA with DOL weeks before the USCIS petition window opens, so confirm your status end date before accepting an offer.
Analytics Consultant at Deloitte jobs are hiring across the US. Find yours.
Find Analytics Consultant at Deloitte JobsFrequently Asked Questions
Does Deloitte sponsor H-1B visas for Analytics Consultants?
Yes, Deloitte sponsors H-1B visas for Analytics Consultants. The firm has dedicated immigration legal support that manages the LCA filing with DOL and the I-129 petition with USCIS on the employee's behalf. Cap-subject candidates need to clear the annual H-1B lottery, so timing your offer relative to the March registration window matters significantly for your start date.
Which visa types does Deloitte commonly sponsor for Analytics Consultant roles?
Deloitte sponsors H-1B, H-1B1, and E-3 visas for Analytics Consultant positions, along with employment-based Green Card pathways including EB-2 and EB-3. Australian citizens are often well positioned for the E-3, which has no lottery and can be processed at a U.S. consulate with a certified LCA and a signed offer letter.
How do I apply for Analytics Consultant jobs at Deloitte?
Apply through Deloitte's careers portal at deloitte.com/careers, filtering by the Analytics and Cognitive or Government and Public Services practice depending on your target sector. Deloitte runs distinct campus and experienced hire pipelines, so confirm which track matches your experience level. Browse visa-sponsored Analytics Consultant openings at Deloitte specifically through Migrate Mate to narrow your search to roles where sponsorship is active.
What qualifications does Deloitte expect for Analytics Consultant candidates requiring sponsorship?
Deloitte generally expects a bachelor's degree or higher in a quantitative discipline such as statistics, data science, computer science, or a related field. Proficiency in tools like SQL, Python, R, or Tableau is commonly required. For sponsored candidates, the degree field must align closely enough with the role's duties to satisfy USCIS specialty occupation criteria, so vague or mismatched credentials can complicate the petition.
How do I manage the timeline between a Deloitte offer and my visa filing?
Once you receive a written offer, Deloitte's immigration team typically initiates the DOL Labor Condition Application process. For H-1B, the petition window opens in April for an October 1 start, so offers made outside that window may require bridge strategies such as OPT STEM extension or a change of status from another visa category. Discuss your current status and its expiration date with your Deloitte HR contact early in the offer process.
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