Data Science Practitioner at Accenture

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, ConsultingIndustries

Requirements

Minimum 5 year(s) of experience in Data Science
15 years full time education
Proficiency in Data Science
Strong analytical skills with the ability to interpret complex data sets
Experience with machine learning algorithms and statistical modeling techniques
Proficiency in programming languages such as Python or R for data analysis
Familiarity with data visualization tools to effectively communicate insights
Must have skills: SAP Ariba Sourcing & Procurement
Good to have skills: Open Text and Vendor Invoice Management

Responsibilities

Formulating, designing, and delivering AI/ML-based decision-making frameworks and models for business outcomes
Measure and justify AI/ML-based solution values
Expected to be a Subject Matter Expert (SME)
Collaborate and manage the team to perform
Responsible for team decisions
Engage with multiple teams and contribute on key decisions
Provide solutions to problems for immediate team and across multiple teams
Facilitate knowledge sharing and mentorship within the team to enhance overall capabilities
Develop and implement best practices for data analysis and model development to ensure high-quality outputs
Analyzing data, interpreting results, and providing insights that inform strategic decisions

Skills

Data Science

SAP Ariba Sourcing

Procurement

Machine Learning

Data Analysis

Model Development

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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