S&C Global Network - AI - Insurance - Senior Analyst

Accenture; Gurugram District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Accenture AI is seeking a talented Generative AI Data Scientist Consultant to join our Banking team. The ideal candidate will leverage Generative AI, ML, data analysis and cloud platforms to design, develop, and implement AI solutions that meet business needs.

You will deploy models, build robust APIs, create data pipelines, and optimize performance while upholding security and regulatory standards. Collaboration with product managers and engineers is essential to deliver value for clients.

Qualifications

• Minimum 3+ years of experience in Data Science and Machine Learning with a focus on Generative AI models (LLMs).
• Strong proficiency in Python programming and experience with ML frameworks (TensorFlow, PyTorch).
• Expertise in API Development and deployment, with hands-on experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).
• Ability to build and optimize data pipelines for generative AI models.
• Knowledge of security best practices and ensuring compliance with regulatory standards.
• Strong problem-solving, analytical, and creative thinking skills to design and implement innovative solutions.
• Excellent communication skills, capable of conveying complex technical concepts to diverse audiences.

Responsibilities

• Collaboration: Work with product managers, engineers, and stakeholders to understand requirements and deliver AI solutions.
• Model Deployment: Containerize and deploy generative AI models using Docker, Kubernetes, and cloud platforms.
• API Development: Design, develop, and deploy robust APIs to expose generative AI models for integration into client systems.
• Client Collaboration: Understand client requirements and deliver tailored API solutions.
• Generative AI Model Integration: Integrate models into workflows via APIs.
• Performance Optimization: Improve API latency, scalability, and reliability.
• Data Pipeline Development: Build data pipelines for real-time or batch processing.
• Security and Compliance: Apply security best practices and ensure regulatory compliance.
• Documentation: Create API documentation, SDKs, and troubleshooting guides.
• Testing and Monitoring: Develop automated tests and monitoring for API reliability.
• Stay Updated: Keep up with advancements in generative AI, API development, and cloud tech.

Skills

Python Programming

Machine Learning

Statistical Analysis

Data Science

Generative AI

Cloud Platforms (AWS/Azure/GCP)

Model Deployment

API Development

Education

Bachelor's or Master's degree in Computer Science or related Analytics discipline

Tools

Docker

Kubernetes

TensorFlow

PyTorch

AWS

Azure

GCP

APIs/SDKs

Job description

Management Level: 09 - Senior Consultant

Location: Gurgaon/Bangalore/Mumbai

Must have skills: Python Programming, Machine Learning, Statistical Analysis, Data Science, Generative AI (GPT, DALL-, GANs), Cloud (AWS/Azure/GCP), Model Deployment, API Development, Docker/Kubernetes

Good to have skills: PyTorch, TensorFlow, Large-Scale Data Processing, Cloud Integrations, NLP, Computer Vision, Security Best Practices, Performance Optimization, Open-Source Contributions

Experience: Minimum 3+ years of experience in Data Science, Machine Learning, or related fields with a focus on Generative AI models (LLMs) and API development

Educational Qualification: Bachelor''s or Master-s in Computer Science, Data Science, Statistics, Engineering, or related Analytics discipline from a premier institute.

Job Summary

Accenture AI is seeking a talented and motivated Generative AI Data Scientist Consultant to join our Banking team. The ideal candidate will leverage their expertise in Generative AI models, Machine Learning, Data Analysis, and Cloud Platforms to develop innovative solutions and enhance AI capabilities. This role will involve collaborating with cross-functional teams to design, develop, and implement generative AI solutions that meet our business needs.

Roles Responsibilities

• Collaboration: Work closely with product managers, engineers, and other stakeholders to understand requirements and deliver impactful AI solutions.
• Model Deployment: Containerize and deploy generative AI models using tools like Docker, Kubernetes, and cloud platforms (e.g., AWS, Azure, Google Cloud).
• API Development: Design, develop, and deploy robust APIs to expose generative AI models (e.g., GPT, DALL-, Stable Diffusion, GANs) for integration into client systems and applications.
• Client Collaboration: Work closely with clients to understand their technical requirements and deliver tailored API solutions that meet their business needs.
• Generative AI Model Integration: Integrate generative AI models into existing workflows, applications, and platforms via APIs.
• Performance Optimization: Optimize API performance for latency, scalability, and reliability, ensuring seamless user experiences.
• Data Pipeline Development: Build and maintain data pipelines to support real-time or batch processing for generative AI models.
• Security and Compliance: Implement security best practices and ensure APIs comply with regulatory standards, both internal and external. Additionally, maintain up to date...
• Documentation: Create comprehensive API documentation, including usage examples, SDKs, and troubleshooting guides.
• Testing and Monitoring: Develop automated testing frameworks and monitoring systems to ensure API reliability and performance. In particular, this includes
• Stay Updated: Keep up with the latest advancements in generative AI, API development, and cloud technologies.

Qualification

Professional Technical Skills

• 3+ years of experience in Data Science and Machine Learning with a focus on Generative AI models (LLMs).
• Strong proficiency in Python programming and experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
• Expertise in API Development and deployment, with hands‑on experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).
• Ability to build and optimize data pipelines for generative AI models.
• Knowledge of security best practices and ensuring compliance with regulatory standards.
• Strong problem‑solving, analytical, and creative thinking skills to design and implement innovative solutions.
• Excellent communication skills, capable of conveying complex technical concepts to diverse audiences.

Additional Information

• Experience with large-scale data processing and expertise in NLP or computer vision.
• Contributions to open‑source AI/ML projects.
• Experience with cloud integrations, big data technologies, and performance optimization.
• Familiarity with security standards and regulatory compliance in AI solutions.