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S&C Global Network - AI - CG&S - Analyst

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Onsite

S&C Global Network - AI - CG&S - Analyst

Accenture

S&C Global Network - AI - CG&S - Analyst

Skills

Google Cloud PlatformSQL QueriesDeep LearningTableauPythonData ScienceRGitData AnalysisMachine LearningAIAWSGoogle AnalyticsPySparkPower BIAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

19 August 2026

What they need


Job Title: Industry Function AI Decision Science Analyst SC Global Network
Management Level: 11- Analyst
Location: Primary - Bengaluru, Secondary - Gurugram

**Must-Have Skills:**Data Science, AI, ML, Experience with cloud platforms such as AWS, Azure, or Google Cloud, Hands-on experience in programming languages like Python, R, PySpark, and SQL

**Good-to-Have Skills:**Deep Learning Techniques (e.g. RNN, CNN), Visualization tools like Power BI and Tableau, Exposure to tools like ChatGPT, Llama 2, Hugging Face, etc.

Job Summary:

As an Industry Function AI Decision Science Consultant, you will leverage your expertise in data science and Consumer Goods domain knowledge to design and deliver AI-driven solutions. Your role will include strategic analysis, project delivery, solution development, and technical execution to empower businesses with actionable insights and enable automated and augmented decision-making.

Roles Responsibilities:

  • Conduct strategic analysis of the AI, analytics, and data maturity landscape for clients in the Consumer Goods domain
  • Lead data science engagements, manage delivery teams, and build innovative AI capabilities
  • Develop and implement advanced analytics solutions tailored to client requirements
  • Utilize languages like Python, PySpark, R, and SQL for data wrangling and machine learning model development
  • Leverage cloud technologies (Azure, AWS, GCP) to integrate and implement AI solutions
  • Translate complex data into compelling narratives for effective data storytelling
  • Mentor junior team members and contribute to thought leadership

Qualification

Professional Technical Skills:

  • Proficiency in Python, R, PySpark, and SQL

  • Strong knowledge of traditional statistical methods, machine learning techniques, and deep learning

  • Hands-on experience in Consumer Goods Services domain

  • Cloud integration skills with platforms like AWS, Azure, or Google Cloud

  • Experience with optimization techniques (exact and evolutionary)

  • Certifications like AWS Certified Data Analytics Specialty or Google Professional Data Engineer

  • Familiarity with visualization tools like Tableau and Power BI

  • Exposure to large language models (e.g., ChatGPT, Llama 2)

  • Familiarity with version control systems like Git.

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