Consulting-Technology Consulting-AI and QM-AI Data Scientist-Manager-Multiple Positions-1641769
Consulting-Technology Consulting-AI and QM-AI Data Scientist-Manager-Multiple Positions-1641769
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Consulting - Technology Consulting - AI and Quantitative Modelling - Artificial Intelligence Data Scientist (Manager) (Multiple Positions) (1641769) Ernst & Young U.S. LLP Miami FL.
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:
Bachelors 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 Masters 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.
Please apply on-line at and click on Careers - Job Search then Search Jobs (Job Number -).
What we offer
We offer a comprehensive compensation and benefits package where youll be rewarded based on your performance and recognized for the value you bring to the business. The base salary for this job is $182690.00 per 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 youll decide how much vacation time you need based on your own personal circumstances. Youll 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: Youll develop the mindset and skills to navigate whatever comes next.
Success as defined by you: Well provide the tools and flexibility so you can make a meaningful impact your way.
Transformative leadership: Well give you the insights coaching and confidence to be the leader the world needs.
Diverse and inclusive culture: Youll 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. Its 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 pleaseclick 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 EYs Talent Shared Services Team or email SSC Customer Support at
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 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.
Required Experience:
Manager
Employment Type
Full-Time
