EY - GDS Consulting - AI and DATA - Senior Architect - Senior Manager

Kochi, KL, IN, 682030

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EY

Mit unseren vier integrierten Geschäftsbereichen — Wirtschaftsprüfung und prüfungsnahe Dienstleistungen, Steuerberatung, Unternehmensberatung und Strategy and Transactions — sowie unserem Branchenwissen unterstützen wir unsere Mandanten dabei,...

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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. 

 

 

 

 

Career Family: AI & DATA
Role Type: Data Scientist
 

Senior Manager
 

The Opportunity 
The AI team with EY GDS caters to clients across the globe through EY’s partner firms. The candidate should be able to manage multiple Data Science engagements, interact with clients and EY stakeholders, bringing in innovative ideas, methodologies and techniques; should be adept in developing high performing individuals and teams; should be capable of motivating team members and be a leader of the pack. Should be capable of identifying the most appropriate tools, methods and processes that is needed to solve the problem in hand.

 

Your key responsibilities

  • Hands-on work and delivery of Advanced analytics/ML/AI/Gen AI projects  
  • Extensive hands own working experience in NLP, Text & Predictive Analytics
  • Strong understanding of application of LLMs and RAG architecture  
  • Mentoring of the juniors

 

Skills and attributes for success

  • Should work with the leadership in developing future strategies to position the Data Sciences team as the best-in-class within EY; develop POVs on Trusted AI, Explainable AI and any current trends in AI and Data Science.
  • Sector Knowledge – Must have worked on Financial sector – Banking, Wealth Management, Insurance – projects for minimum 5 years.
  • Should have good presentation and articulation skills to explain the intricacies of AI and Advanced Analytics solutions to a client in simple English. Must have a grab-the-opportunity attitude and a pleasing personality.
  • Should be an expert in one or more of these areas: Statistical Modeling, Operations Research, Machine Learning, Gen AI. Should have an aptitude to learn other areas if not already skilled.
  • Should have handled deployment of ML models on-prem and on-cloud (at least one from MS Azure, AWS, GCP).
  • Analytic Problem Solving – Should have the capability to look at a problem from a top-down view and not through the lens of a technique.
  • Planning: Should have the ability to contribute to operational and strategic planning.
  • Industry Knowledge - Knowledge of what is happening in the world of Data Science and AI and the ability to apply this knowledge appropriately to diverse situations. 
  • Integrated View- Ability to bring together both diverse point of views, data sources, techniques, to solve the client’s problem.
  • Relationship Management - Ability to establish and build healthy working relationships and partnerships with clients, EY partners, senior leadership, peers and juniors. 
  • Knowledge of analytical toolsets - Understands the elementary functions of Data Science packages of Python, R or SAS
  • Getting Work Done Through Others – The ability to get work done through others. In this role, the person would be handling a team size of 15-30 people or more. People who prefer an Individual Contributor role need not apply.
  • Inspiring Others – Should have the ability to motivate others. Should be a total people person.

 

To qualify for the role, you must have

  • Bachelor's Degree in Statistics, Econometrics, Quantitative Methods or related field (Engineers with Data Science experience can also apply)
  • Candidates with a or master’s degree or PhD in quantitative field preferred.
  • Candidate with an MBA degree highly preferred.
  • 10 years (M) / 15 years (SM) experience in applied advanced analytical role in financial sector (Banking, Wealth Management, Insurance)
  • 5 years of experience (M) and 10 years (SM) of project and people management experience 
  • 5 years of practical experience and familiarity with advanced data modeling techniques (linear/logistic regression, ARIMA, Cluster Analysis, Machine Learning, etc.)
  • 5 years (M) and 10 years (SM) of experience working with business partners and building relationships


Ideally, you’ll also have

  • Client management skills

 

What we look for

  • People with technical experience and enthusiasm to learn new things in this fast-moving environment

 

What we offer
EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. 

  • 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.

 

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.  

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture AWS Azure Banking Cluster analysis Consulting Econometrics GCP Generative AI LLMs Machine Learning ML models NLP PhD Python R RAG Research SAS Statistical modeling Statistics

Perks/benefits: Career development

Region: Asia/Pacific
Country: Japan

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