S&C Global Network - AI - Supply Chain Analytics - Consultant



Software Engineering, Operations, Data Science
Kolkata, West Bengal, India
Posted on Friday, June 14, 2024

Entity: - Accenture Strategy & Consulting

Team: - Global Network – Data & AI

Practice: - Supply Chian Analytics

Title: - Ind & Func AI Decision Science Consultant

Job location: - Bangalore/Gurgaon/Hyderabad/ Mumbai

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

As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading AI/ML/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.

Explore an Exciting Career at Accenture

Do you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are you passionate about being part of an inclusive, diverse, and collaborative culture?

Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Strategy and Consulting

Candidate should have good understanding of statistics/analytical/optimization methods and approaches. The ideal candidate should be able to bring in meaningful data driven insights supporting with statistical concepts and apply the same in wider Supply Chain area. The candidate is expected to use data science skills to solve client’s business problem in the supply chain area. The candidate should have functional skill set and Supply Chain domain knowledge with ability to apply data science skill set to solve supply chain problems. Additionally, the role would require contributing towards asset development initiatives.

Experience and Education:

  • 5-6 years of experience in Machine Learning and/or Optimization Techniques.
  • Master’s degree in technology or engineering or quantitative field (e.g. MSc in Statistics and Operations Research, M Tech in Industrial Engineering, Applied Math/Statistics, Computer Science)
  • Certifications in any one or two of the areas will be an added advantage: Python, AI/ML, Optimization, Simulation, any of the cloud platforms (Azure/ GCP/ AWS).

Mandatory Skills:

Must have:

  • Proficiency in data modeling developed through client projects.
  • Extensive use of data-driven techniques including exploratory data analysis and data pre-processing to solve business problems.
  • Proficient in using Python/PySpark programming for data manipulation, data visualization, and machine learning models with good hands-on experience.
  • Proficiency in any one of the Cloud solutions – Azure, GCP or AWS
  • Proficiency in SQL for data preparation, manipulation, and descriptive analysis
  • Proficient in supply chain domain
  • Excellent written and oral communication skills

Good to have:

  • Experience on Simulation and Optimization
  • Visualization packages like Tableau/ Power BI
  • Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP
  • Exposure to Client interaction
  • Exposure to business platforms (o9/Kinaxis/BY)

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

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