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New York, New York, United States · On-site
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New York, New York, United States · On-site
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New York, New York, United States · On-site
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New York, New York, United States • Hybrid
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Design and develop analytics models to solve client business problems and coordinate the execution plan from build to validation. Provide technical guidance and coaching to junior team members while presenting insights to client stakeholders.
Requires a Bachelor's or Master's degree in a quantitative field with 1-2 years of experience in AI, ML, and Python. Must have experience with Generative AI frameworks, DevOps tools, and deploying ML workflows on cloud platforms.
Consulting - Technology Consulting - AI and Quantitative Modelling - Artificial Intelligence Data Scientist - Senior - Multiple Positions - 1717770, Ernst & Young U.S. LLP, New York, NY.
Using an understanding of the problem statement or business question in scope for the client engagement, design analytics models and review design with manager. Coordinate data needs for the analysis and develop detailed execution plan including but not limited to model build, validation and harnessing insights. Assign tasks and provide on-the-job coaching to junior team members. Perform first level of review of the models, results and insights. Summarize insights and results, and present to client stakeholders after manager/senior manager’s review. Track and report progress against plan, identify issues and risks, and mitigate them with or escalate them to project leadership. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.
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 2 years of 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 1 year of related work experience.
Must have 1 year of experience in any combination of external advisory professional services, external consulting, or customer success.
Must have 1 year hands-on working experience with artificial intelligence, machine learning, data science, or data engineering.
Must have 1 year of experience working with Python.
Must have 1 year of combined experience using any combination of at least 2 of the following Generative AI models and frameworks:
o OpenAI family
o Open source LLMs, Dall-e
o LlamaIndex
o Langchain
o Retrieval Augmented Generation (RAG)
o 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 1 year 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 1 year of experience with data manipulation tools and libraries SQL, Pandas, or Spark.
Must have 1 year of experience with containerization and scaling models as well as integrating models and feedback from downstream consumption systems.
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.
Please apply on-line at ey.com/en_us/careers and click on "Careers - Job Search”, “See All", then “Experienced Professionals” (Job Number - 1717770).
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 $139,506.00 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.
For those living in California, please click here for additional information.
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 [email protected].
This particular position at Ernst & Young in the United States requires the qualified candidate to be a "United States worker" as defined by the U.S. Department of Labor regulations at 20 CFR 656.3. You can review this definition at https://www.gpo.gov/fdsys/pkg/CFR-2011-title20-vol3/pdf/CFR-2011-title20-vol3-sec656-3.pdf at the bottom of page 750. Please feel free to apply to other positions that do not require you to be a "U.S. worker".
EY is building a better working world by creating new value for clients, people, society, the planet, while building trust in the capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams in more than 150 countries work across a full spectrum of services in assurance, consulting, tax, strategy and transactions, strengthened by sector experience and diverse ecosystem partners. Find out more about the EY global network: http://ey.com/en_gl/legal-statement
Offices: 6 More London Place, London, SE1 2DA, GB · Avenida Presidente Juscelino Kubitschek, 1909, North Tower | 6th to 10th floor, São Paulo, SP 04543-011, BR · Level 16, Ernst & Young Tower, Oriental Plaza, No. 1 East Chang An Avenue, Dong Cheng District, Beijing, 100738, CN · 5 Times Square, New York, New York, 10036-6530, US · 1 More London Place, London, London, SE1 2AF, GB
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