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# AI Senior Consultant - AI for Sustainability & Infrastructure, AI & Data

- **Company:** Deloitte
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Code Review, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Mining, Data Security, Data Systems, Data Visualization, Data Warehousing, Python (Programming Language), Machine Learning, Power BI, SQL Databases, Tableau (Software), Technical Data Management Systems, Digital Twin, Qliksense, Data Processing, Scripting, Data Storage Technologies, Data Ingestion, GitHub Copilot, Prompt Engineering, Kubernetes, Data Analytics, Tools for Reporting, Terraform, Looker Analytics, Data Pipelines, Docker
- **Published:** August 29, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2944678188-2

## About the Role

range of expertise, we help our clients' become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more. What brings us all together at Deloitte? It's how we approach the thousands of decisions we make every day. How we behave, our beliefs and our attitudes. In other words: our values. Whatever we do, wherever we are in the world, we lead the way, serve with integrity, take care of each other, foster inclusion, and collaborate for measurable impact. These five shared values lead every decision we make and action we take, guiding us to deliver impact how and where it matters most.Connect to your opportunity We are seeking a Senior Consultant to join our Sustainable Business Solutions team, specialising in leveraging data and advanced analytics to drive business transformation and solve complex client challenges. This role
is ideal for individuals who combine strong technical data skills with a proven ability to deliver impactful, data-driven projects, from strategic insights to operational efficiencies.You will work hands-on across the full data lifecycle: from data ingestion and engineering to advanced analytics, modelling, and compelling visualisation. You will collaborate with stakeholders across various business functions, including strategy, finance, operations, and IT, to translate complex business problems into data solutions and ensure robust, scalable, and actionable outcomes.We welcome applicants who enjoy bridging the gap between business strategy and cutting-edge technology. If you have practical experience in data analysis, modelling, visualisation, and robust data engineering, and are ready to help clients unlock the full potential of their data, we encourage you to apply.Key ResponsibilitiesData-Driven Solution DeliveryLead the delivery of data-driven projects, encompassing data
analysis, statistical modelling, and advanced analytics to generate actionable insights.Design and develop compelling data visualisations and interactive dashboards using modern analytics tools to communicate complex findings clearly.Translate business requirements into technical data solutions, ensuring alignment with client objectives and data strategy.Data Engineering & ArchitectureDesign, build, and optimise robust data pipelines and ETL/ELT processes on cloud platforms to ensure data quality, availability, and scalability.Develop and maintain data models, schemas, and data governance frameworks to support analytical and operational needs.Utilise SQL and scripting languages (Python or R) for data extraction, transformation, validation, and integration across diverse data sources.Project Management & Stakeholder EngagementManage project timelines, scope, and deliverables effectively, ensuring successful outcomes and client satisfaction.Collaborate closely with cross-functional
teams, including business users, IT, and other technical specialists, to drive project success.Engage with stakeholders at all levels, running requirements workshops, communicating technical topics clearly to non-technical audiences, and managing expectations.Connect to your skills and professional experience EssentialsProven experience in delivering data-driven projects, including end-to-end data analysis, statistical modelling, and advanced analytics.Strong technical skills in data engineering, including designing, building, and optimising ETL/ELT processes.Hands-on experience working with cloud platforms (GCP, AWS, or Azure) for data storage, processing, and analytics services.Proficiency in SQL and at least one scripting language (Python or R) for data manipulation, analysis, and automation.Skilled in modern analytics and BI/reporting tools (e.g., Power BI, Tableau, Looker, Qlik Sense) for data visualisation and dashboard development.Experience with data modelling, data
governance, quality controls, and exception handling.Effective project delivery capabilities, with demonstrable experience managing timelines, scope, and deliverables.Strong stakeholder engagement and communication skills, with the ability to translate complex technical concepts for diverse audiences.Experience producing clear project documentation, technical specifications, and client-ready deliverables.Desirable Experience with advanced analytical techniques, such as machine learning, predictive modelling, or optimisation.Familiarity with data orchestration tools (e.g., Airflow, dbt, Prefect, Cloud Composer).Experience with containerisation or infrastructure-as-code (e.g., Docker, Kubernetes, Terraform).Knowledge of data warehousing concepts and technologies.Experience contributing to proposals, scoping documents, or client development activities.Understanding of data privacy regulations (e.g., GDPR) and data security best practices.Proficiency with AI-assisted development tools
(e.g., Claude Code, GitHub Copilot), including prompt engineering and code review of AI-generated output.Connect to your business - Technology and TransformationDistinctive thinking, deep expertise, innovation and collaborative working. That's what connects us. That's what makes us Deloitte. If you want to help solve some of the biggest tech and transformational challenges around, join us. Together, we'll make an impact that matters. Engineering, AI and DataWe lead transformation at the heart of our clients; re-engineering the core of our clients' organisations, helping to unleash growth, and creating better futures for their customers, citizens and employees.Personal independence Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to a number of audit regulations, one of which requires that certain colleagues abide by specific personal

## Description

Connect to your IndustryDeloitte's AI for Sustainability and Infrastructure team sits within our Engineering, AI & Data offering area and is purpose built to help our client's lead and win through the transition to a low-carbon, digitally enabled, prosperous, equitable and resilient economy.We take work across four core domains:Energy TransitionResilient InfrastructureSustainable and Resilient Supply Chains & ProductsDigital & AI-enabled Reporting, Compliance & Decision-MakingWe work across all industry verticals. We bring deep technical and transformation expertise and point it at Sustainability related problems. Working within our business allows you to empower clients with cutting edge technology assets and alliances including AI and Data foundations, Geospatial Analytics and Digital Twin Modelling, Sustainability infused ERP, Supply Chain Traceability and AI enabled reporting and performance management.Connect to your career at Deloitte Deloitte drives progress. Using our vast


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