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

Chennai, Tamil Nadu, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Supply ChainIndustries

Requirements

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)
Good understanding of statistics/analytical/optimization methods and approaches
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
Certifications in any one or two of the areas: Python, AI/ML, Optimization, Simulation, any of the cloud platforms (Azure/GCP/AWS) (added advantage)

Responsibilities

Bring meaningful data-driven insights supported by statistical concepts and apply them in the wider Supply Chain area
Use data science skills to solve client’s business problems in the supply chain area
Apply functional skill set and Supply Chain domain knowledge with data science skills to solve supply chain problems
Contribute towards asset development initiatives

Skills

Key technologies and capabilities for this role

AIMLStatisticsData ScienceOptimizationPredictive ModellingAnalyticsSupply Chain Analytics

Questions & Answers

Common questions about this position

What experience level is required for this role?

The role requires 5-6 years of experience in Machine Learning and/or Optimization Techniques.

What are the mandatory technical skills for this position?

Mandatory skills include proficiency in data modeling, extensive use of data-driven techniques like exploratory data analysis and data pre-processing, proficiency in Python/PySpark for data manipulation, visualization, and machine learning models, and proficiency in one cloud solution such as Azure, GCP, or AWS.

What is the job location for this position?

The job is located in Bangalore/Gurgaon/Hyderabad/Mumbai.

What education is required for this consultant role?

A Master’s degree in technology, engineering, or a quantitative field such as MSc in Statistics and Operations Research, M Tech in Industrial Engineering, Applied Math/Statistics, or Computer Science is required.

What does Accenture's culture look like for this role?

Accenture offers an inclusive, diverse, and collaborative culture with a worldwide network of smart and driven colleagues focused on transformative strategies for global clients.

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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