Digital Data Scientist – Manager

Job Description

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 
 
 
 
 
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
 

What we look for

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

 
What working at EY offers
At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are.
You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

Support, coaching and feedback from some of the most engaging colleagues around
Opportunities to develop new skills and progress your career
The freedom and flexibility to handle your role in a way that’s right for you

 
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.