Cons - Tech Cons-AI and Quant Modelling-AI Data Scientist - Manager - Multiple Positions - 1731669

Ernst & Young Advisory Services Sdn Bhd; McLean (VA); On-site; USD 145,000 - 197,000; Full time

Job summary

Ernst & Young Advisory Services Sdn Bhd in McLean seeks a Manager-level AI/Data Scientist to lead data science workstreams, design scalable models, and deliver client-ready analytics across multiple industries. You will apply ML, NLP, and generative AI to complex data, while guiding teams through project lifecycles in a client-facing role.

Role emphasizes 40-hour weeks, travel up to 80% with some international assignments.

Qualifications

• Bachelor's degree in Mathematics, Information Systems, Statistics, OR, Data Science, Analytics, CS, Engineering, ML or related field with 5 years post-baccalaureate experience; or Master's with 4 years of related work experience.
• 3 years in external advisory services, external consulting, or customer success.
• 4 years hands-on AI/ML/data science or data engineering.
• 4 years of Python experience.
• 2 years combined experience using 2+ Generative AI models/frameworks (OpenAI, open-source LLMs, Langchain, etc.).
• 1 year GIT and Azure DevOps with Agile tools.
• 2 years designing ML models and deploying end-to-end ML workflows on major cloud platform.
• 4 years with SQL, Pandas, or Spark.
• 2 years containerization and scaling models; integrating feedback from downstream systems.
• 2 years managing technical teams.
• Up to 80% travel (10% international) for client work.

Responsibilities

• Deliver data science, big data, and OR techniques to design and maintain scalable solutions.
• Unify, enrich and analyze data from multiple sources for meaningful decisions.
• Lead and motivate diverse project teams; maintain client relationships.
• Identify business value and drive data-driven recommendations across engagements.

Skills

Python

Machine Learning

Data Science

Data Engineering

Generative AI

DevOps

Cloud Platforms

ML Pipelines

Team Leadership

SQL

Education

Bachelor's or Master’s in a related field

Tools

OpenAI

Langchain

LlamaIndex

DALL-E

RAG

Job description

Location: McLean

Other locations: Primary Location Only

Date: Aug 6, 2026

Requisition ID: 1731669

Cons - Tech Cons-AI and Quant Modelling-AI Data Scientist - Manager - Multiple Positions - 1731669

At EY, we're all in to shape your future with confidence.

We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

Work with a wide variety of clients to deliver the latest data science, big data technologies, and operations research techniques and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources. Create well-rounded approaches to help clients navigate the complex world of modern data science, analytics, and software engineering. Provide clients with a unique business perspective on how data science and analytics can transform and improve their entire organization. Clarify problems by driving to understand the true issue. Leverage Machine Learning (ML) workflows including ingesting, analyzing, and transforming data and evaluating results to make meaningful predictions and solve problems by incorporating data into decision making. Apply data mining and statistical analysis techniques like hypothesis testing, segmentation and modelling to analyze large amounts of data. Use generative AI modelling and frameworks and large language models (LLMs) to help clients make data-driven decisions by working with structured and unstructured data sets, building out predictive models and advising our clients on data mining leading practices. Build and apply data analysis algorithms including data mining, statistics, machine learning, natural language processing, sentiment analysis, and text mining. Design, architect and develop solutions leveraging data technologies to ingest, process and analyze large, disparate data sets to exceed business requirements. Design, build, and maintain ML models, frameworks, and pipelines as well as design and deploy end to end ML workflows in order to unify, enrich and analyze customer data to derive new insights and opportunities.

Manage and motivate teams of professionals with diverse skills and backgrounds. Consistently deliver quality client services by monitoring progress. Demonstrate in-depth technical capabilities and professional knowledge. Maintain long-term client relationships and networks. Cultivate business development opportunities.

Full time employment, Monday – Friday, 40 hours per week, 8:30 am – 5:30 pm.

Minimum Requirements

• Must have a Bachelor's degree in Mathematics, Information Systems, Statistics, Operations Research, Data Science, Analytics, Computer Science, Engineering, Machine Learning, or a related field and 5 years of progressive, post-baccalaureate related work experience. Alternatively, must have a Master's degree in Mathematics, Information Systems, Statistics, Operations Research, Data Science, Analytics, Computer Science, Engineering, Machine Learning, or a related field and 4 years of related work experience.
• Must have 3 years of experience in any combination of external advisory professional services, external consulting, or customer success.
• Must have 4 years hands‑on working experience with artificial intelligence, machine learning, data science, or data engineering.
• Must have 4 years of experience working with Python.
• Must have 2 years of combined experience using any combination of at least 2 of the following Generative AI models and frameworks:
  • OpenAI family
  • Open source LLMs, Dall‑e
  • LlamaIndex
  • Langchain
  • Retrieval Augmented Generation (RAG)
  • Other frontier model families (e.g. Anthropic)
• Must have 1 year of combined experience using DevOps tools GIT and Azure DevOps as well as Agile tools to develop and deploy analytical solutions with multiple features, pipelines, and releases.
• Must have 2 years of experience designing, building, and maintaining ML models, frameworks, and pipelines as well as designing and deploying end to end ML workflows on at least one major cloud computing platform.
• Must have 4 years of experience with data manipulation tools and libraries SQL, Pandas, or Spark.
• Must have 2 years of experience with containerization and scaling models as well as integrating models and feedback from downstream consumption systems.
• Must have 2 years of experience directly managing technical teams.
• Requires travel up to 80%, of which 10% may be international, to serve client needs.
• Employer will accept any suitable combination of education, training, or experience.

What we offer

We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary for this job is $170,872.00 per year. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.

• Continuous learning: You'll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs.

EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

The exceptional EY experience. It's yours to build.

EY | Building a better working world

EY exists to build a better working world, helping to create long‑term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, type Option 2 (HR-related inquiries) and then type Option 1 (HR Shared Services Center), which will route you to EY’s Talent Shared Services Team or email SSC Customer Support at [e-mail].

EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.