S&C Global Network - AI - Software & Platform - Gen AI - Analyst

8148 ASOL - Mumbai Non STPI Company

Bengaluru

Hybrid

INR 1,200,000 - 2,400,000

Full time

14 days+
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Benefits offered by this job

Learning & growth opportunities
Support for certifications
Global network access

Job summary

Accenture’s Data & AI practice seeks an Analyst to drive analytics-enabled value across SaaS and PaaS engagements. You’ll work with a global network of experts, building secure AI solutions, managing data pipelines and leveraging Azure OpenAI and related tools to deliver measurable outcomes.

You will collaborate with onsite and offshore teams, apply statistical methods, and continuously learn to stay ahead in a fast-evolving AI landscape.

Qualifications

  • Bachelor's or master's degree in CS/engineering/data science or related field.
  • Experience (2+ years) on AI projects with successful outcomes.
  • Proficiency with Azure OpenAI, Azure AI Studio, Azure ML, and M365 Copilot extensions.

Responsibilities

  • Develop and test AI algorithms tailored to complex business problems.
  • Manage large datasets and perform exploratory data analytics for stakeholders.
  • Investigate data and issues to identify root causes and solutions.
  • Collaborate with internal teams and external consultants to achieve project goals.
  • Design and implement GenAI systems including RAG pipelines and autonomous agents.
  • Build data pipelines to improve information flow and efficiency.
  • Stay current with AI trends and Microsoft tooling to drive business value.

Skills

AI project delivery
Data analysis
Python
SQL
Excel
Problem solving

Education

Bachelor's or Master's in CS/Engineering/Data Science

Tools

Azure OpenAI
Azure AI Studio
Azure ML
Cognitive Search
M365 Copilot
GenAI frameworks
RAG pipelines
LLM workflows
AWS
Google Cloud

Job description

Job Description Entity:
  • - Accenture Strategy & Consulting Team:
  • - Global Network
  • - Data & AI Practice:
  • - CMT – Software & Platforms Title:
  • - 11 - Ind & Func AI Decision Science Analyst Job location:
  • - Across all S&C GN Locations

About S&C - Global Network - Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition

About the Team:

The team is focused on driving Data & AI based solutions for SaaS and PaaS clients for Accenture. The team collaborates actively with onsite counterparts to help identify opportunities for growth as well as drives client deliveries from offshore.

What’s in it for you?

As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. You'll work with experts in SaaS & PaaS and Accenture will support you in growing your own tech stack and certifications. In Data & AI you will understands the importance of sound analytical decision‑making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative.

What you would do in this role
  • - Development and testing of AI algorithms and techniques, custom‑tailored to effectively address and solve specific, complex business problems.
  • - Manage large databases proficiently, conducting exploratory data analytics to derive valuable insights for stakeholders.
  • - Track down and thoroughly investigate previous information related to a problem, asking probing questions to identify root causes.
  • - Employ a systematic approach to problem‑solving, exploring known avenues and asking insightful questions to unravel the core issues.
  • - Work collaboratively with both internal teams and external consultants/managers to achieve project objectives.
  • - Develop and manage data pipelines to streamline the flow of information for enhanced efficiency.
  • - Demonstrate adaptability and flexibility in responding to changing project requirements.
  • - Proactively seek and embrace continuous learning opportunities to stay updated with the industry trends and advancement.
  • - Leverage the Microsoft ecosystem—Azure OpenAI, Azure AI Studio, Azure ML, Cognitive Search, and M365 Copilot extensibility—to build secure and scalable AI solutions.
  • - Design and implement GenAI and agentic AI systems, including RAG pipelines, autonomous agents, and LLM‑driven workflows tailored to business needs.
Job Qualifications

Who are we looking for?

  • - Bachelor's or master's degree in computer science, engineering, data science, or a related field.
  • - Experience working for large Software or Platform organizations.
  • - Proven experience (2+ years) in working on AI projects and delivering successful outcomes.
  • - Leverage the Microsoft ecosystem—Azure OpenAI, Azure AI Studio, Azure ML, Cognitive Search, and M365 Copilot extensibility—to build secure and scalable AI solutions.
  • - Design and implement GenAI and agentic AI systems, including RAG pipelines, autonomous agents, and LLM‑driven workflows tailored to business needs.
  • - Develop AI accelerators and POCs using Azure cloud‑native architectures, ensuring performance, governance, and Responsible AI compliance.
  • - Stay current with advancements in LLMs, multimodal models, and Microsoft AI tooling, translating emerging capabilities into actionable business solutions.
  • - Hands on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modelling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization.
  • - Ability to work with large data sets and present findings / insights to key stakeholders; Data management using databases like SQL Proficiency in statistical packages such as R, Python, Java, SQL, Spark, etc.
  • - Knowledge in training large language models and fine‑tuning for specific applications or domains.
  • - Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models.
  • - Excellent analytical and problem‑solving skills, with a data‑driven mindset.
  • - Proficient in Excel, MS word, PowerPoint, etc.
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

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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