Senior Python Consultant Jobs in Wethersfield, CT

In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.

Recruiting for this role ends on 12/01/2026

Work you'll do

As a Finance Analytics & AI Senior Consultant, you'll work with the best in the business to solve the toughest client problems. From learning to leadership, this is your chance to take your career to the next level. Our Senior Consultants are expected to contribute to the firm's growth and development in a variety of ways.

         Support the design and delivery of finance transformation solutions that use data, automation, machine learning, and generative and agentic AI capabilities

         Architect generative and agentic AI solutions across infrastructure, model, and application layers for finance use cases such as planning, budgeting, forecasting, profitability, close, and consolidations

         Analyze business, functional, and technical requirements and translate them into AI-related design requirements, solution designs, workflows, and implementation plans

         Partner with developers and technical teams to build AI-enabled solutions, providing functional guidance and design clarification throughout development and testing

         Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL), and cloud-based platforms

         Contribute to client workshops, solution demos, testing, deployment activities, and stakeholder communications, helping translate client needs into technical solution requirements

         Identify delivery risks, track dependencies, and support project execution across cross-functional teams

A successful candidate would possess these skills:

  Ability to work independently and collaborate as part of a team

  Effective written and verbal communication skills

  Meticulous attention to detail and quality of work product

  Ability to build and sustain professional relationships

  Ability to lead projects or workstreams

  Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment

  Strong interpersonal skills and professional demeanor

  Ability to meet deadlines

  Ability to provide clear guidance to others

The team

Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Within our Finance Transformation offering, the Business Finance team helps unlock strategic value through enhanced financial planning, forecasting, and analytics capabilities. By combining next-generation processes, scalable data platforms, and AI, we deliver insights that are accurate, timely, and actionable.

Qualifications

Required:

         Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics

         Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.

         4+ years of experience with software development using Python or similar coding languages.

         Experience architecting AI systems on cloud platforms (e.g., GCP).

         Experience taking production-grade AI-driven solutions from conception to launch for customers.

         Experience leading technical discovery sessions with customers.

         Experience building pipelines for structured and unstructured data using both vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions.

         Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments

         Experience architecting generative and agentic AI solutions across infrastructure, model, and application layers, including one or more of the following infrastructure platforms: NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of the following model platforms: GPT-4o, Claude, or Llama; and one or more of the following application platforms: ChatGPT, Claude, or Gemini

         Experience working with finance data and use cases related to planning, budgeting, forecasting, close, profitability, or cost allocations

         Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.

         Limited immigration sponsorship may be available.

Preferred:

         Master's degree in Computer Science, Data Science, Analytics, Finance, Mathematics, or Statistics

• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and patterns (e.g., ReAct, self-reflection, hierarchical delegation).
• Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

         Experience with finance platforms such as SAP, Oracle, Anaplan, OneStream, or Workday

         One or more certifications in artificial intelligence, machine learning, Amazon Web Services, Microsoft Azure, or Google Cloud Platform, Snowflake, Databricks

In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.

Recruiting for this role ends on 12/01/2026

Work you'll do

As a Finance Analytics & AI Senior Consultant, you'll work with the best in the business to solve the toughest client problems. From learning to leadership, this is your chance to take your career to the next level. Our Senior Consultants are expected to contribute to the firm's growth and development in a variety of ways.

         Support the design and delivery of finance transformation solutions that use data, automation, machine learning, and generative and agentic AI capabilities

         Architect generative and agentic AI solutions across infrastructure, model, and application layers for finance use cases such as planning, budgeting, forecasting, profitability, close, and consolidations

         Analyze business, functional, and technical requirements and translate them into AI-related design requirements, solution designs, workflows, and implementation plans

         Partner with developers and technical teams to build AI-enabled solutions, providing functional guidance and design clarification throughout development and testing

         Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL), and cloud-based platforms

         Contribute to client workshops, solution demos, testing, deployment activities, and stakeholder communications, helping translate client needs into technical solution requirements

         Identify delivery risks, track dependencies, and support project execution across cross-functional teams

A successful candidate would possess these skills:

  Ability to work independently and collaborate as part of a team

  Effective written and verbal communication skills

  Meticulous attention to detail and quality of work product

  Ability to build and sustain professional relationships

  Ability to lead projects or workstreams

  Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment

  Strong interpersonal skills and professional demeanor

  Ability to meet deadlines

  Ability to provide clear guidance to others

The team

Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Within our Finance Transformation offering, the Business Finance team helps unlock strategic value through enhanced financial planning, forecasting, and analytics capabilities. By combining next-generation processes, scalable data platforms, and AI, we deliver insights that are accurate, timely, and actionable.

Qualifications

Required:

         Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics

         Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.

         4+ years of experience with software development using Python or similar coding languages.

         Experience architecting AI systems on cloud platforms (e.g., GCP).

         Experience taking production-grade AI-driven solutions from conception to launch for customers.

         Experience leading technical discovery sessions with customers.

         Experience building pipelines for structured and unstructured data using both vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions.

         Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments

         Experience architecting generative and agentic AI solutions across infrastructure, model, and application layers, including one or more of the following infrastructure platforms: NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of the following model platforms: GPT-4o, Claude, or Llama; and one or more of the following application platforms: ChatGPT, Claude, or Gemini

         Experience working with finance data and use cases related to planning, budgeting, forecasting, close, profitability, or cost allocations

         Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.

         Limited immigration sponsorship may be available.

Preferred:

         Master's degree in Computer Science, Data Science, Analytics, Finance, Mathematics, or Statistics

• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and patterns (e.g., ReAct, self-reflection, hierarchical delegation).
• Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

         Experience with finance platforms such as SAP, Oracle, Anaplan, OneStream, or Workday

         One or more certifications in artificial intelligence, machine learning, Amazon Web Services, Microsoft Azure, or Google Cloud Platform, Snowflake, Databricks