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Data Science Architect @ EY

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 Data Science Architect

Job Description

EY- Assurance - Manager - Digital
Position Details
As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high growth & impactful products.
You will be helping EY s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients.
This is a core full-time AI developer role, responsible for creating innovative solutions by applying AI based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda.
  • 10-12 years of experience in Data Science
  • Convert business problem into analytical problem and devise a solution approach.
  • Clean, aggregate, analyze and interpret the data to derive business insights from it.
  • Own the AI/ML implementation process Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management.
  • Work closely with the Solution Architects in deployment of the AI POC s and scaling up to production level applications.
  • Should have solid background in Python and has deployed on open-source models-
  • Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison.
Key Requirements/Skills & Qualification
  • Excellent academic background, including at a minimum a bachelor or a master s degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with strong focus on modern data architectures, processes, and environments.
  • Solid background in Python with excellent coding skills.
  • 6+ years of core data science experience in one or more below areas
    • Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering)
    • Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, function calling, frameworks like LangChain, Llama Index, agents etc.
    • Retriever augmented generation and prompt engineering.
    • Good understanding of open source LLM framework like Mistral, Llama, etc. and fine tuning on custom datasets.
    • Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models)
    • Natural Language Processing- Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis.
    • Computer Vision- Image Classification, Object Detection, Tracking etc.
    • SQL/NoSQL Databases and its manipulation components
    • Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes.
Additional skills requirements
  • Excellent written, oral, presentation and facilitation skills
  • Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization,
  • organization, flexibility, and self-discipline.
  • Must have demonstrated project management experience.
  • Knowledge of firm s reporting tools and processes.
  • Proactive, organized, and self-sufficient with ability to priorities and multitask.
  • Analyses complex or unusual problems and can deliver insightful and pragmatic solutions.
  • Ability to quickly and easily create/ gather/ analyze data from a variety of sources.
  • A robust and resilient disposition able to encourage discipline in team behaviors
  • A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment.
  • An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide.
  • Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries






Job Classification

Industry: Accounting / Auditing
Functional Area / Department: Data Science & Analytics,
Role Category: Data Science & Machine Learning
Role: NLP / DL Engineering / Architect
Employement Type: Full time

Contact Details:

Company: EY
Location(s): Hyderabad

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Keyskills:   Mining data science Coding Project management Business analytics Analytical Consulting Forecasting Monitoring SQL

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