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

Accenture in India

Bengaluru

Hybrid

INR 1,800,000 - 3,000,000

Full time

14 days+

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Benefits offered by this job

Learning & growth
Certifications support
Global network access

Job summary

Accenture Global Network in India seeks an AI Decision Science Analyst to design and test AI algorithms, manage data pipelines, and extract actionable insights for client projects across SaaS/PaaS environments.

You will work with Data & AI specialists, partner with onsite teams, and contribute to business performance improvements through analytics-driven decisions.

Qualifications

  • Experience with AI algorithms and statistical methods.
  • Ability to manage large databases and perform exploratory data analytics.
  • Strong collaboration with internal teams and external consultants.

Responsibilities

  • Develop and test AI algorithms tailored to business problems.
  • Manage large datasets and perform exploratory data analysis for insights.
  • Investigate issues by tracing back data and asking probing questions.
  • Apply a systematic problem-solving approach to identify core issues.
  • Collaborate with internal teams and external consultants to achieve project goals.
  • Develop and manage data pipelines to streamline information flow.
  • Demonstrate adaptability to changing project requirements.
  • Pursue continuous learning to stay updated with industry trends.

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: - Hyderabad/Bangalore

About S&C - Global Network:

Accenture Global Network - Data & AI practice help our clients grow our 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.
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