S&C GN AI - Insurance GenAI Engineer - Senior Analyst

Entity:- Accenture Strategy & Consulting

Team:- Global Network- Data & AI

Practice:- S&C GN AI - Insurance

Title:- Decision Science Specialist

Job location:- Anywhere in India

About S&C - Global Network:-

Accenture Global Network- Insurance Data & AI Practice helps our clients grow their business in entirely new ways. From strategy to execution, Accenture works with Property & Casualty insurers, Life & Retirement insurers, reinsurers and brokers across the value chain- from Underwriting to Claims to Servicing and Enterprise Functions- to develop analytic capabilities- from accessing and reporting on data to predictive modelling to Generative AI- that outperform the competition. We offer deep technical expertise in AI/ML tools, techniques & methods, along with strong strategy & consulting acumen and insurance domain knowledge. Our unique assets & accelerators coupled with diverse insurance insights and capabilities help us bring exceptional value to our clients.

WHATS IN IT FOR YOU?

Accenture Global Network is a unified powerhouse that combines the capabilities of Strategy & Consulting with the force multipliers of Data and Artificial Intelligence. It is central to Accentures future growth and Accenture is deeply invested in providing individuals with continuous opportunities for learning and growth.

Youll be part of a diverse, vibrant, global community, continually pushing the boundaries of business capabilities.

Accenture is also ranked 10th* on the 2023 Worlds Best Workplaces list, making it a great place to work.

What you would do in this role

Help the team architect, design, build, deploy, deliver, and monitor advanced analytics models including GenAI, for different client problems

Develop functional aspects of Generative AI pipelines, such as information retrieval, storage techniques, and system optimizations across services for a chosen cloud platform such as Azure or AWS

Interface with clients/account team to understand engineering/business problems and translate into analytics problems that shall deliver insights for action and operational improvements

consume data from multiple sources and present relevant information in a crisp and digestible manner that delivers valuable insights to both technical and non-technical audiences

 
Qualifications 

Who we are looking for?

· 2-4 years experience in data-driven techniques including exploratory data analysis and data pre-processing, machine learning to solve business problems

· Bachelors/Master’s degree in Mathematics, Statistics, Economics , Computer Science, or related field

· Solid foundation in Statistical Modeling, Machine Learning algorithms, GenAI, LLMs, RAG architecture and Lang chain frameworks

· Proficiency in programming languages such as Python, PySpark, SQL or Scala

· Strong communication and presentation skills to effectively convey complex data insights and recommendations to clients and stakeholders, as well as to engineer high-quality prompts

· In-depth knowledge and hands-on experience with Azure, AWS or Databricks tools. Relevant certifications in Azure/ AWS are highly desirable

· Prior Insurance industry experience is preferred