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

Accenture

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

Accenture

·

On-site

·

Full-time

·

3d ago

Job Title – Ind & Func AI Decision Science Consultant

  • S&C GN

Management Level : 9 - Consultant

Location: Gurgaon

Must have skills: Generative AI, Agentic AI Systems, Model Context Protocol (MCP), Large Language Models (LLMs), Multi-Agent Systems, Python, SQL, AI Agent Orchestration

Good to have skills: AI Refinery, Lang Chain, Llama Index, Auto Gen, Crew AI, Spark, Cloud Platforms (AWS, Azure, GCP), NLP, Computer Vision, Vector Databases, RAG (Retrieval-Augmented Generation), Function Calling, Tool Integration

Job Summary: As an AI Decision Science Analyst, you will lead the design, development, and deployment of sophisticated AI agents and multi-modal AI solutions that can autonomously execute complex business workflows. You will leverage cutting-edge Generative AI, Agentic AI frameworks, and Model Context Protocol (MCP) integrations to create intelligent systems that can reason, plan, and act independently to solve complex business challenges across various industries. Your expertise will drive innovation in autonomous AI solutions and deliver transformative value for clients through intelligent agent orchestration and seamless system integrations.

Roles & Responsibilities:

– Advanced Generative AI & Agentic System Development

o Design and implement sophisticated AI agents using frameworks like AI Refinery, Lang Chain, Auto Gen, CrewAI, and custom agentic architectures

o Develop multi-agent systems that can collaborate, negotiate, and execute complex workflows autonomously

o Implement Model Context Protocol (MCP) integrations for seamless communication between AI systems and external tools/APIs

o Build and deploy Generative AI applications with advanced reasoning, planning, and execution capabilities

– Leverage Advanced Data Science Techniques:

o Develop solutions using Computer Vision, Machine Learning, and Large Language Models (LLMs).

o Define data requirements, clean, aggregate, analyze, and interpret data while conducting data quality assessments.

– Develop and Implement AI Models:

o Build and deploy AI models and Generative AI applications.

o Train and fine-tune LLMs using large-scale datasets to optimize performance and accuracy.

o Evaluate model performance and implement iterative improvements.

– Solution Integration and Deployment:

o Collaborate to integrate AI solutions into end-to-end workflows, ensuring scalability.

o Utilize cloud platforms like AWS, Azure, or GCP for model development and deployment.

– Innovation and Knowledge Sharing:

o Stay updated on advancements in AI and Data Science, exploring innovative techniques and frameworks.

o Document methodologies and findings for effective knowledge sharing.

Professional & Technical Skills:

– 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.

Professional & Technical Skills:

– 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

Experience: Minimum 4 years of experience in AI/ML with demonstrated expertise in Generative AI applications and agentic systems, preferably within a consulting environment

Educational Qualification: Bachelor's or Master's degree (BE/BTech/MBA/MS) in Statistics, Computer Science, Mathematics, AI/ML, or related disciplines with an excellent academic record

About Accenture

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

Equal Employment Opportunity Statement

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.

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About Accenture

Accenture

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10,001+

Employees

Dublin

Headquarters

Reviews

4.0

10 reviews

Work Life Balance

3.5

Compensation

4.0

Culture

4.2

Career

4.1

Management

4.0

75%

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Pros

Great learning and development opportunities

Supportive and collaborative work environment

Good career growth and networking opportunities

Cons

Need to be proactive in finding projects

Long hours during busy periods

Very competitive environment for advancement

Salary Ranges

33 data points

L2

L3

L4

L5

L6

M3

M4

M5

M6

L2 · Business Operations L2

0 reports

$55,250

total / year

Base

$22,100

Stock

$27,625

Bonus

$5,525

$38,675

$71,825

Interview Experience

6 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

17%

Experience

Positive 0%

Neutral 50%

Negative 50%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical/Task-Based Interview

4

Final Interview

5

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Case Study