Data Science Practitioner

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Information Technology, ConsultingIndustries

Requirements

Candidates must possess a minimum of 5 years of experience in Data Science and have completed 15 years of full-time education. Proficiency in Data Science, strong analytical skills for interpreting complex data sets, experience with machine learning algorithms and statistical modeling techniques, familiarity with data visualization tools, and proficiency in programming languages like Python or R are required.

Responsibilities

The Data Science Practitioner will formulate, design, and deliver AI/ML-based decision-making frameworks and models to achieve business outcomes. They will measure and justify the value of AI/ML solutions, collaborate with and manage teams, be responsible for team decisions, engage with multiple teams on key decisions, provide solutions to problems, and facilitate knowledge sharing and mentorship. The role also involves developing and implementing best practices for data analysis and model development.

Skills

Data Science

Machine Learning

Data Analysis

Model Development

Problem-Solving

Mentorship

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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