S&C Global Network - AI - CDI - Data Science Manager

mid

OtherData Science Manager

2 views0 saves0 applied

Apply Now

Quick Summary

Key Responsibilities

Strategic Leadership & Project Delivery Oversee the end-to-end lifecycle of AI projects,

Requirements Summary

Bachelor's or Master's degree (BE/BTech/MBA/MS) in Statistics, Computer Science, Mathematics, AI/ML,

Technical Tools

OtherData Science Manager

Responsibilities

~2 min read

→Strategic Leadership & Project Delivery

→Oversee the end-to-end lifecycle of AI projects, from requirements gathering and solution architecture to deployment and post-implementation support
→Provide thought leadership and guidance to consultants and engineers on cutting-edge Gen AI and Agentic AI technologies
→Define and communicate a strategic vision for AI agent solutions, ensuring alignment with client business objectives

→Client & Stakeholder Engagement

→Act as a trusted advisor to clients, translating complex AI concepts into actionable business solutions
→Drive discussions on Gen AI best practices, risk management, AI safety, and governance

→Advanced Generative AI & Agentic System Development
- →Design and implement sophisticated AI agents using frameworks like AI Refinery, LangChain, AutoGen, CrewAI, and custom agentic architectures
- →Develop multi-agent systems that can collaborate, negotiate, and execute complex workflows autonomously
- →Implement Model Context Protocol (MCP) integrations for seamless communication between AI systems and external tools/APIs
- →Build and deploy Generative AI applications with advanced reasoning, planning, and execution capabilities
→Leverage Advanced Data Science Techniques:
- →Develop solutions using Computer Vision, Machine Learning, and Large Language Models (LLMs).
- →Define data requirements, clean, aggregate, analyze, and interpret data while conducting data quality assessments.
→Develop and Implement AI Models:
- →Build and deploy AI models and Generative AI applications.
- →Train and fine-tune LLMs using large-scale datasets to optimize performance and accuracy.
- →Evaluate model performance and implement iterative improvements.
→Solution Integration and Deployment:
- →Collaborate to integrate AI solutions into end-to-end workflows, ensuring scalability.
- →Utilize cloud platforms like AWS, Azure, or GCP for model development and deployment.
→Innovation and Knowledge Sharing:
- →Stay updated on advancements in AI and Data Science, exploring innovative techniques and frameworks.
- →Document methodologies and findings for effective knowledge sharing.

Must To Have Skills: Expert proficiency in Generative AI, Agentic AI Systems, Model Context Protocol (MCP), LLMs, Multi-Agent Systems, Python, SQL, AI Agent Orchestration frameworks.
Cloud & Infrastructure: AWS/Azure/GCP, Docker, Kubernetes, Spark, MLOps pipelines for agentic systems
Specialized Knowledge: NLP, Computer Vision, Reinforcement Learning for agent training, Multi-modal AI systems
Experience in developing and AI/ML models.

The ideal candidate will possess deep expertise in agentic AI systems with a proven track record of building autonomous AI solutions that can execute complex business workflows

Strong understanding of AI safety, alignment, and governance principles for autonomous systems
Experience with enterprise-grade AI agent deployments and production system management
This position is based at our Gurugram office with opportunities to lead cutting-edge AI innovation projects

About Our Company | Accenture (do not remove the hyperlink)

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.