Accenture - Data Science Engineer - Python/Scala (4-9 yrs)

Job Description :

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.

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.

- You'll 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.

Job Qualifications :

Who we are looking for ?

- 5+ years experience in data-driven techniques including exploratory data analysis, data pre-processing, machine learning, and visualization 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

- Advanced proficiency in programming languages such as Python, PySpark, SQL, Scala

- Experience implementing AI solutions for Insurance industry

- Experience in production-grade integration of AI/ML pipelines - either upstream (data modeling, engineering, management) or downstream (ML Ops in cloud or on-prem, UI integration with APIs, Visualization in Tableau/PowerBI) required; experience in full-stack implementations preferred

- Strong communication, collaboration and presentation skills to effectively convey complex data insights and recommendations to clients and stakeholders

- Hands-on experience with Azure, AWS or Databricks tools is a plus

- Familiarity with GenAI, LLMs, RAG architecture and Lang chain frameworks is a plus.