Cons-Tech Cons-AI and Data-AAA-Adv Analytics-Data Scientist-Manager - Multiple Positions - 1736509

EY

Chicago (IL)

On-site

USD 140,000 - 170,000

Full time

21 hours ago
Be an early applicant

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

EY seeks a Data Scientist (Manager) in Chicago to lead analytics engagements, ingest and analyze large data sets, applying AI/ML at scale for clients. You will mentor junior staff and deliver BI insights using Power BI in a hybrid EY model.

Role requires 5 years of experience (or 4 with a Master’s) in quantitative modeling, Python/SQL, cloud tools, and data visualization. Travel up to 80% with some international travel; base salary is $151,920/year with a comprehensive benefits package.

Qualifications

  • Bachelor’s degree in CS/Data Science/IT/Engineering/Math/Stats/ML/MIS or related field with 5 years of progressive, post‑baccalaureate work experience.
  • Master’s degree in CS/Data Science/IT/Engineering/Math/Stats/ML/MIS or related field with 4 years of work experience.
  • 4 years of experience in quantitative modeling and analysis focusing on big‑data problem solving.
  • 4 years of hands‑on experience in Python or SQL.
  • 4 years of experience with data manipulation tools and libraries SQL, Pandas, or Spark.
  • 4 years of experience in one or more cloud platforms: Azure, Amazon, Google.
  • 4 years navigating database models to build data sets for analytics and model training and development.
  • 2 years of experience modelling and visualizing data in Power BI or similar platforms.
  • 1 year in delivery of intelligent automation services and the technology life cycle including operating model/strategy, discovery and requirements definition, solution architecture and design, development, testing and production release.
  • 1 year of quantitative analysis using Agile methodologies or robotics tool‑specific methodologies.
  • 1 year containerization and scaling models and integrating models with downstream systems.
  • 2 years managing technical teams, including allocation of work, review of outputs and guidance.

Responsibilities

  • Lead data analytics engagements and mentor junior team members.
  • Develop data ingestion, processing, and analytics solutions using in‑house data platforms.
  • Deliver client‑facing analytics and BI insights at scale.
  • Support business development and knowledge growth to propose data solutions.
  • Manage diverse teams and maintain long‑term client relationships.

Skills

Python
SQL
Pandas
Spark
Power BI
Agile methodologies
Containerization

Education

Bachelor's degree in CS/Data Science/IT/Engineering/Math/Stats/ML/MIS
Master's degree in CS/Data Science/IT/Engineering/Math/Stats/ML/MIS

Tools

Azure
Amazon
Google

Job description

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.

Consulting – Technology Consulting - AI & Data – AAA – Advanced Analytics – Data Scientist (Manager) (Multiple Positions) (1736509), Ernst & Young U.S. LLP, Chicago, IL.

Bring order and structure to structured and unstructured data and prepare analysed data in visual formats in a manner that is accessible to clients and other stakeholders to solve multiple and complex business problems utilizing cloud-scale advanced statistical techniques and Business Intelligence analyses. Lead big-data problem solving to collect, analyze, and present findings and solutions, leading junior team members, and working with a wide variety of clients to deliver technology consulting services. Serve as the go‑to resource for understanding clients’ problems through data gathering and analysis. Solve complex analytical problems in an effort to bring data to insights and enable the use of Machine Learning and Artificial Intelligence at scale for clients. Lead delivery of unparalleled service in big data, business intelligence, and digital analytics built on a blend of custom‑developed methods related to customer analytics, data visualization, and optimization. Drive efforts to design, architect, and develop solutions to ingest, process and analyze large, disparate data sets to exceed business requirements, leveraging in‑house data platforms as needed and recommending and building new data platforms/solutions. Participate in business development and knowledge growth opportunities to strengthen aptitude to propose solutions that will better enable clients to navigate the complex world of modern data analytics.

Manage and motivate teams 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 Computer Science, Data Science, Information Technology, Engineering, Mathematics, Statistics, Machine Learning, Management Information Systems (MIS), or a related field and 5 years of progressive, post‑baccalaureate work experience.
  • Alternatively, will accept a Master’s degree in Computer Science, Data Science, Information Technology, Engineering, Mathematics, Statistics, Machine Learning, Management Information Systems (MIS), or a related field and 4 years of work experience.
  • Must have 4 years of experience in quantitative modeling and analysis focusing on big‑data problem solving to collect, analyze, and present findings and solutions.
  • Must have 4 years of hands‑on experience in python or SQL.
  • Must have 3 years of experience with data manipulation tools and libraries SQL, Pandas, or Spark.
  • Must have 3 years of experience in one or a combination of any of the following cloud platforms:
    • Azure
    • Amazon
    • Google
  • Must have 4 years of experience in navigating database models to build data sets for analytics and model training and development.
  • Must have 2 years of experience modelling and visualizing data in Power BI or similar platforms.
  • Must have 1 years of experience in each of the following:
    • the delivery of intelligent automation services and the technology life cycle, including operating model/strategy, opportunity assessment, discovery and requirements definition, solution architecture and design, development, testing and production release.
    • quantitative analysis using Agile methodologies or robotics tool‑specific methodologies.
    • containerization and scaling models as well as integrating models and feedback from downstream consumption systems.
    • managing technical teams, including allocation of work products, tasks, and resources; review of technical outputs of the team; and provision of guidance and technical support to achieve the objectives.
  • 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 $151,920.00 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.
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 ssc.customersupport@ey.com.

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".

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Consulting-Tech Cons-AI-Data-ED-App Design and Dev-Data Engg-Arch-Manager-Multiple Positions-1730248
Consulting-Tech Cons-AI-Data-ED-App Design and Dev-Data Engg-Arch-Manager-Multiple Positions-1730248

Ernst & Young Oman • Boston (MA)

Hybrid
USD 162,000
Hybrid work model
Medical and dental coverage
Pension and 401(k) plans
+1
Consulting-Tech Cons-AI-Data-ED-App Design and Dev-Data Engg-Arch-Manager-Multiple Positions-1730248
Consulting-Tech Cons-AI-Data-ED-App Design and Dev-Data Engg-Arch-Manager-Multiple Positions-1730248

EY • Boston (MA)

Hybrid
USD 162,000
Hybrid work model
Medical and dental coverage
Pension and 401(k) plans
+1
Consulting - Tech Cons-Dig Engg-Full Stack Eng-Serv Del-Manager - Multiple Positions - 1727579
Consulting - Tech Cons-Dig Engg-Full Stack Eng-Serv Del-Manager - Multiple Positions - 1727579

EY • Dallas (TX)

Hybrid
USD 136,000 - 185,000
Hybrid work model
Total Rewards package (medical, dental
401(k) and paid time off
Senior Analyst - Digital Engg - Backend Eng - Manager - Multiple Positions - 1727598
Senior Analyst - Digital Engg - Backend Eng - Manager - Multiple Positions - 1727598

EY • Phoenix (AZ)

On-site
USD 150,000 - 170,000
Medical & dental coverage
401(k) and pension plans
Hybrid work model
Cons-Tech Cons-AI and Quan Modelling-A I Data Scientist - Manager - Multiple Positions - 171797[...]
Cons-Tech Cons-AI and Quan Modelling-A I Data Scientist - Manager - Multiple Positions - 171797[...]

Ellenco Estágios e Treinamentos • Hoboken (NJ)

Hybrid
USD 144,000 - 195,000
Medical and dental coverage
Pension and 401(k) plans
Paid time off
Data Analyst - Tech Cons-Data & Analytics-Data Arch & Eng-FSO-Manager - Multiple Positions - 1726139
Data Analyst - Tech Cons-Data & Analytics-Data Arch & Eng-FSO-Manager - Multiple Positions - 1726139

EY • Dallas (TX)

Hybrid
USD 201,000 - 230,000
Medical and dental coverage
Pension and 401(k)
Paid time off
+1
Technology Consulting - TST - TSO - Manager - Multiple Positions - 1734496
Technology Consulting - TST - TSO - Manager - Multiple Positions - 1734496

EY • Hoboken (NJ)

On-site
USD 176,000 - 238,000
Consultant-Business Con-Transformation Design and Execution-Manager-Multiple Positions-1728151
Consultant-Business Con-Transformation Design and Execution-Manager-Multiple Positions-1728151

EY • Stamford (CT)

On-site
USD 176,294 - 238,516
Hybrid work model
Competitive compensation
Generous PTO
Assurance - Technology Risk - Manager - Multiple Positions - 1731724
Assurance - Technology Risk - Manager - Multiple Positions - 1731724

EY • Dallas (TX)

Hybrid
USD 110,000 - 130,000
Continuous learning
Leadership development
Diverse and inclusive culture
+1
Cons - Tech Cons-AI and Quant Modelling-AI Data Scientist - Manager - Multiple Positions - 1731669
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