Ernst & Young
Global professional services: consulting, assurance, tax
Artificial Intelligence Data Scientist Manager - Technology Consulting, Artificial Intelligence and Quantitative Modelling
More locations: McLean, VA, USA
Client-serving roles typically work in person 40–60% of the time; travel may reach 80%, including up to 10% international travel.
About the job
- A Bachelor's degree in Mathematics, Information Systems, Statistics, Operations Research, Data Science, Analytics, Computer Science, Engineering, Machine Learning, or a related field with five years of progressive, post-baccalaureate related work experience, or a Master's degree in one of these fields with four years of related work experience.
- Three years of experience in external advisory professional services, external consulting, or customer success.
- Four years of hands-on experience with artificial intelligence, machine learning, data science, or data engineering.
- Four years of experience working with Python.
- Two years of combined experience using at least two generative artificial intelligence models or frameworks, including the OpenAI family, open-source large language models, DALL-E, LlamaIndex, LangChain, Retrieval Augmented Generation, or other frontier model families such as Anthropic.
- One year of combined experience using Git, Azure DevOps, and Agile tools to develop and deploy analytical solutions with multiple features, pipelines, and releases.
- Two years of experience designing, building, and maintaining machine learning models, frameworks, and pipelines and deploying end-to-end machine learning workflows on at least one major cloud computing platform.
- Four years of experience with SQL, Pandas, or Spark for data manipulation.
- Two years of experience with containerization, scaling models, and integrating models and feedback from downstream consumption systems.
- Two years of experience directly managing technical teams.
- Willingness to travel up to 80%, including up to 10% international travel.
- Employer will accept any suitable combination of education, training, or experience.
- Work with clients to design, build, and maintain scalable solutions that unify, enrich, and analyze data from multiple sources.
- Use data science, big data technologies, and operations research techniques to create client solutions.
- Develop approaches combining data science, analytics, and software engineering to address client problems.
- Clarify client problems by identifying the underlying issue.
- Use machine learning workflows to ingest, analyze, and transform data, evaluate results, make predictions, and support decision-making.
- Apply data mining and statistical analysis techniques, including hypothesis testing, segmentation, and modelling, to analyze large datasets.
- Use generative artificial intelligence modelling, frameworks, and large language models with structured and unstructured datasets.
- Build predictive models and advise clients on data mining practices.
- Build and apply algorithms for data mining, statistics, machine learning, natural language processing, sentiment analysis, and text mining.
- Design, architect, and develop data-technology solutions that ingest, process, and analyze large, disparate datasets.
- Design, build, and maintain machine learning models, frameworks, and pipelines.
- Design and deploy end-to-end machine learning workflows to unify and enrich customer data and derive insights and opportunities.
- Manage and motivate teams of professionals with diverse skills and backgrounds.
- Monitor progress to deliver quality client services.
- Maintain long-term client relationships and professional networks.
- Cultivate business development opportunities.
About the company
EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.
Company Size
5,001-10,000
Company Stage
N/A
Total Funding
N/A
Headquarters
Boston, Massachusetts
Founded
1991
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Simplify's Take
What believers are saying
- EY's January 2026 acquisitions of couniq and Qiado expand public-sector and FAAS consulting.
- EY's April 2026 agentic AI rollout strengthens audit quality and client delivery speed.
- EY's Microsoft alliance and AI assurance services attract transformation work from regulated enterprises.
What critics are saying
- EY paid £105.5 million over NMC Health in 2026, signaling recurring audit liability exposure.
- KPMG, Deloitte, and PwC relentlessly poach EY partners after the failed 2021 split.
- Agentic AI standardizes audit workflows by 2028, compressing billable hours and weakening junior leverage.
What makes Ernst & Young unique
- EY Canvas embeds agentic AI across 160,000 audits with Microsoft Azure, Foundry, and Fabric.
- EY-Parthenon ties consulting, assurance, tax, and transactions into one global client platform.
- EY's sector teams, especially banking and capital markets, deepen specialization across regulated industries.
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Benefits
Professional Development Budget
Flexible Work Hours
Remote Work Options
Company News
Ernst & Young's US division is allocating $100 million this fiscal year to bonus payments rewarding employees who demonstrate adaptability, innovation, and judgement. Individual spot awards reach $500, whilst employees or teams making significant contributions can receive between $10,000 and $25,000, five times the previous programme's ceiling. The initiative also covers AI experimentation. "What we recognise signals what we value," said Ginnie Carlier, chief talent and culture officer for EY Americas. The bonuses form part of a broader strategy to reshape employee development across all career levels. Other professional services firms are pursuing similar approaches. KPMG restructured its audit internship this summer to emphasise critical thinking, whilst PwC US introduced training combining AI proficiency with human qualities like empathy. EY reported AI-related revenue grew 30% year-over-year in 2025.
EY-Parthenon has acquired SparkOptimus, a Dutch digital strategy consultancy founded in 2010. The Amsterdam-based firm employs around 50 consultants and specialises in AI transformation, digital business model redesign and technology-driven transformation. SparkOptimus founders Alexandra Jankovich and Tom Voskes, both former McKinsey consultants, said joining EY-Parthenon will create significant value for clients and staff whilst providing access to broader capabilities. The acquisition marks EY-Parthenon's first European deal since 2021. EY-Parthenon, established in 2014, is EY's strategy consulting and transactions advisory business with around 25,000 professionals globally. Mark Reich, Partner at EY-Parthenon Netherlands, said SparkOptimus' expertise will complement existing capabilities in the Dutch market. The deal closes on 1 September 2026. Financial terms were not disclosed.
The UK Government has awarded a contract worth up to £456 million to KPMG and EY to train civil servants, the Financial Times reported, citing government procurement tracker Tussell. Under the arrangement, the firms will train officials across various skills areas, including AI, between 2026 and 2028. KPMG's share is capped at £319 million, representing almost a quarter of its total UK advisory net sales from last year. EY's portion is worth £137 million, equivalent to around 13% of its UK consulting revenue. The deal is the largest single contract awarded to Big Four companies since Tussell started tracking records in 2012. The previous record was a £322 million deal between the Foreign Office and PricewaterhouseCoopers in 2012.
EY has introduced an "invisible" AI router to manage internal AI spending, helping cut token consumption by up to 60% since its April rollout. The router sits behind specialised AI tools and directs employee queries to the most appropriate model for each task, rather than defaulting to the most powerful option. Token costs have become a growing concern as AI providers increasingly charge based on usage. EY's AI Pulse survey found that 82% of senior leaders at companies investing in AI were worried about token usage. The router has been deployed on department-specific platforms, including tax and risk functions, though not on the general Microsoft Copilot chatbot available to all staff. EY has also implemented token budgets based on employees' roles and departments. The firm's global consulting AI leader Dan Diasio said companies should focus AI investment on areas with the deepest impact rather than spreading resources thinly.
The UK's Financial Reporting Council has fined EY nearly £1.2m and audit partner Julie Carlyle £49,000 for failings in their 2021 audit of Made.com. Both received severe reprimands for breaching international auditing standards regarding going concern and deferred tax assets. The FRC said the auditors relied on management forecasts without sufficient challenge or adequate testing. Made.com, an online furniture retailer that listed on the London Stock Exchange in June 2021, entered administration in November 2022 after reporting a £35.3m loss. EY later disclaimed its opinion on Made.com's 2022 interim statements due to material uncertainty about the company's ability to continue operating.