Data Science Practitioner

Mumbai, Maharashtra, 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 have a minimum of 5 years of experience, specifically in Large Language Models, and possess a total of 15 years of full-time education. Proficiency in Large Language Models is mandatory, with experience in Data Science and Python being advantageous. Strong analytical skills for interpreting complex data sets and deriving actionable insights are also required.

Responsibilities

The Data Science Practitioner will formulate, design, and deliver AI/ML-based decision-making frameworks and models to achieve business outcomes. Responsibilities include measuring and justifying the value of AI/ML solutions, collaborating with teams, managing team performance, contributing to key decisions, providing solutions to problems, and facilitating knowledge sharing and mentorship. The role also involves developing and implementing best practices for AI and machine learning projects to ensure high-quality results.

Skills

Large Language Models

Python

Data Science

Machine Learning

Decision-making frameworks

Data analysis

Strategy 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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