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S&C Global Network - AI - Prompt Engineering - DS Insurance - Consultant

Ind & Func AI Decision Science Team Lead/Consultant | Full time | Experience: 5-10 years
Job No. R00209099 | Gurgaon
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Entity: - Accenture Strategy & Consulting

Team: - Global Network – Data & AI

Practice: - Insurance Analytics

Title: - Ind & Func AI Decision Science Consultant

Job location: - Bangalore/Gurgaon/Mumbai/Hyderabad/Pune/Chennai

About S&C - Global Network: -

Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition.

S&C - GN - 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.

WHAT’S 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 Accenture's future growth and Accenture is deeply invested in providing individuals with continuous opportunities for learning and growth.

What you would do in this role

  • Design, create, validate and refine prompts for Large Language Models (LLMs), for different client problems
  • Employ techniques to guide and enhance model responses
  • Develop effective AI interactions through proficient programming and utilization of playgrounds
  • Utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality
  • Interface with clients/account team to understand engineering/business problems and translate it 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
  • Mentor junior prompt engineers in both technical and softer aspects of the role

Who we are looking for?

  • 5+ years experience in data-driven techniques including exploratory data analysis and data pre-processing, machine learning to solve business problems
  • Bachelor's/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
  • In-depth knowledge and hands-on experience with Azure, AWS or Databricks tools. Relevant certifications in Azure are highly desirable
  • Prior Insurance industry experience is preferred

Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Gurgaon

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