S&C Global Network - AI - Resources - Manager Data Science at Accenture

Gurugram, Haryana, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

ConsultingIndustries

Requirements

Bachelor's/Master’s degree in Mathematics, Statistics, Computer Science, Computer Engineering, or related field
15+ years experience as a Data Science with a focus on cloud services
Solid foundation of Statistical Modeling, Machine Learning algorithms and Experimental design
Expert knowledge of experimental test design and ability to inform business strategy based on statistical findings
Experience in Utilities, Energy, Chemical and Natural Resources experience is preferred
Understanding of programming languages such as Python, PySpark, SQL, or Scala
Implement MLOps practices to streamline the machine learning lifecycle, including model versioning, deployment, and monitoring
Solid understanding of data integration, data modeling, and data warehousing concepts
Strong analytical and problem-solving skills, with the ability to analyze complex data requirements and propose innovative solutions
Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders
Relevant certifications in Azure Data Services or cloud data engineering are highly desirable
Excellent communication and interpersonal skills, with the ability to effectively engage with clients and stakeholders at all levels
Strategic mindset, with the ability to drive business growth and identify new opportunities

Responsibilities

Solution architect, design, build, deploy, deliver, and monitor advanced analytics models for different client problems
Interface with clients/account team to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements
Take initiatives and collaborate with different Accenture internal teams and support driving sales
Collaborate with different cross-functional teams, including technology, engineering, Strategy and account teams, to identify the new use cases
Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development
Manage and mentor high-performing team of data analysts to work on large scale datasets, cloud platforms, IoT, and other similar large datasets

Skills

Key technologies and capabilities for this role

AIMLData SciencePredictive ModelingAnalyticsStatistical ToolsSolution ArchitectureModel Deployment

Questions & Answers

Common questions about this position

What qualifications and experience are required for this Data Science Manager role?

Candidates need a Bachelor’s/Master’s degree in Mathematics, Statistics, Computer Science, Computer Engineering, or related field, plus 15+ years of experience in Data Science with a focus on cloud services.

What programming languages and technical skills are needed for this position?

Required skills include a solid foundation in Statistical Modeling, Machine Learning algorithms, Experimental design, and understanding of programming languages such as Python, PySpark, SQL, or Scala, along with implementing MLOps practices.

Where is this job located?

The job is located in Bangalore/Gurgaon/Mumbai.

What salary or compensation does this role offer?

This information is not specified in the job description.

What soft skills or qualities make a strong candidate for this role?

Strong candidates have excellent communication and interpersonal skills, a strategic mindset to drive business growth, and the ability to manage and mentor high-performing teams while collaborating cross-functionally.

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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