S&C Global Network - AI - Song - Merchandising-Analyst at Accenture

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Merchandising, Analytics, AIIndustries

Requirements

Relevant experience in merchandising domain
Strong analytical, problem-solving, and communication skills
Ability to work in a fast-paced, dynamic environment
Knowledge of SQL, R, and Python
Knowledge of at least one cloud-based technology (Azure, AWS, GCP)
Knowledge of building price/discount elasticity models and conducting non-linear optimization
Good knowledge of state space and mixed-effect modeling techniques, optimization algorithms, and their applicability to industry data
AI capability migration experience from one cloud platform to another
Ability to manage documentation of data models, architecture, and maintenance processes
Understanding of econometric/statistical modeling and analysis techniques (regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques)
Proficiency in statistical packages such as R, Python, SQL, PySpark
Proficiency in Excel, MS Word, PowerPoint
Strong client communication skills
Ability to leverage design thinking, business process optimization, and stakeholder management (good to have)

Responsibilities

Drive strategic initiatives, manage business transformations, and leverage industry expertise to create value-driven solutions
Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance
Build AI-powered applications with a focus on Generative AI and Agentic AI, delivering scalable solutions for clients
Design and build Agentic AI systems leveraging multi-agent frameworks to solve client-centric problems
Define data and context requirements for autonomous agents to retrieve, reason, and act effectively
Prepare, clean, and validate datasets to ensure high-quality inputs for AI workflows
Configure and orchestrate agent workflows, enabling seamless communication between specialized agents
Experiment with architectures such as planning, tool use, and retrieval-augmented generation; fine-tune for accuracy and performance
Evaluate and iterate on agent performance (accuracy, reliability, efficiency) to improve decision-making and automation
Leverage cloud services (AWS, Azure, GCP) for orchestration, deployment, and monitoring of AI solutions
Stay ahead of emerging trends in Gen AI and Agentic AI frameworks, documenting reusable patterns and best practices
Collaborate with consultants and managers to align technical solutions with client objectives and business impact
Create client-ready demos and insight decks, articulating the business value of Agentic AI
Contribute to internal accelerators and playbooks

Skills

SQL

Python

Azure

AWS

GCP

PySpark

Excel

price elasticity models

non-linear optimization

state space modeling

mixed-effect modeling

optimization algorithms

regression analysis

time series analysis

econometric modeling

design thinking

business process optimization

stakeholder management

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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