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Digital Data Scientist - Manager
Ernst & Young
posted 16d ago
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Flexible timing
Key skills for the job
Job Description
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.
Requirements (including experience, skills, and additional qualifications)
Responsibilities
- 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
Employment Type: Full Time, Permanent
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What people at Ernst & Young are saying
Rating based on 14 Data Scientist
reviews
Anonymous · Data Science & Machine Learning
in Bangalore / Bengaluru
Likes
Skill development, learning
Dislikes
No as such
Read 14 reviewsData Scientist salary at Ernst & Young
reported by
252
employees
with 1-7
years exp.
₹5.5
L/yr - ₹22
L/yr
6%
less
than the average Data Scientist Salary in India
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What Ernst & Young employees are saying about work life
based on 10k employees
Flexible timing
Monday to Friday
No travel
Day Shift
Ernst & Young Benefits
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