S&C- Data and AI – Insurance – Sr Manager

Accenture in India; Bengaluru; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Accenture AI in India is seeking a talented Generative AI Data Scientist Lead to join our Banking team. The ideal candidate will leverage expertise in Generative AI models, machine learning, data analysis and cloud platforms to drive development and delivery of innovative AI solutions that meet business needs.

This role requires independent project leadership, mentorship of a small team, and collaboration with product managers and engineers to design, deploy and evaluate state-of-the-art models

Qualifications

• Minimum 6+ years of experience in Data Science or ML with leadership in AI solutions.
• Master's or PhD in CS/DS/Statistics or related field.
• Experience with Generative AI models (LLMs) and model deployment.
• Strong programming and cloud platform experience.

Responsibilities

• Independent Project Leadership: end-to-end delivery from problem definition to deployment.
• Pod Leadership: mentor a small team of data scientists and engineers.
• Model Development: design and deploy generative AI models for text/image tasks.
• Strategy Development: advise clients on integrating generative AI into workflows.
• Ethical AI Practices: address biases and regulatory compliance.
• Performance Evaluation: create metrics to assess model quality.
• Collaboration: work with product managers and engineers to meet requirements.
• Research and Innovation: stay updated and apply new techniques.
• Mentorship: guide junior team members and promote learning.

Skills

Python Programming

Machine Learning

Generative AI

Model Deployment

Cloud (AWS/Azure/GCP)

Statistical Analysis

Data Science

API Development

Docker/Kubernetes

Education

Master's or Ph.D. in CS/DS/Statistics

Tools

PyTorch

TensorFlow

NLP

Computer Vision

Performance Optimization

Open-Source Contributions

Cloud Integrations

Job description

Management Level: 07 - Manager

Location: Gurgaon/Bangalore/Mumbai

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

Good to have skills: PyTorch, TensorFlow, NLP, Computer Vision, Performance Optimization, Ethical AI Practices, Cloud Integrations, Open-Source Contributions

Experience: Minimum 6+ years of experience in Data Science, Machine Learning, or a related field with a focus on Generative AI models (LLMs) and leadership in AI solutions.

Educational Qualification: Master's or Ph.D. in Computer Science, Data Science, Statistics, or related field.

Job Summary

Accenture AI is seeking a talented and motivated Generative AI Data Scientist Lead to join our Banking team. The ideal candidate will leverage their expertise in Generative AI models, Machine Learning, Data Analysis and Cloud Platforms to drive and lead the development & delivery of the innovative solutions and enhance our 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

• Independent Project Leadership: Take ownership of end-to-end project delivery, from problem definition to solution deployment, with minimal supervision.


• Pod Leadership: Lead and mentor a small development pod (team) of data scientists and engineers, ensuring collaboration, innovation, and timely delivery of high-quality solutions.


• Model Development: Design, develop, and deploy state-of-the‑art generative AI models (e.g., GPT, DALL·E, Stable Diffusion, GANs) for applications such as text generation, image synthesis, content creation, and more.


• Strategy Development: Provide strategic recommendations to clients on how to integrate generative AI into their workflows and business processes.


• Ethical AI Practices: Ensure responsible use of generative AI by addressing biases, ethical concerns, and compliance with regulations.


• Performance Evaluation: Develop evaluation metrics and methodologies to assess the performance of generative models and ensure they meet quality standards.


• Collaboration: Work closely with product managers, engineers, and other stakeholders to understand requirements and deliver impactful AI solutions.


• Research and Innovation: Stay up-to-date with the latest advancements in generative AI and machine learning, applying that knowledge to improve existing models and techniques.


• Mentorship: Guide and mentor junior team members, fostering a culture of innovation and continuous learning.