Data Science Practitioner

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Information Technology, ConsultingIndustries

Requirements

Candidates must possess a minimum of 15 years of full-time education and extensive experience in Data Science. Proficiency in Data Science, strong analytical skills for interpreting complex data, experience with programming languages like Python or R, familiarity with machine learning frameworks such as TensorFlow or Scikit-learn, and knowledge of data visualization tools are essential.

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, acting as a Subject Matter Expert, providing advisory and influencing skills, making team decisions, contributing to key decisions across multiple teams, offering solutions to cross-team problems, facilitating workshops and training, and continuously evaluating and improving existing AI/ML models.

Skills

Data Science

Machine Learning

Data Analysis

Problem-Solving

Team Collaboration

Workshop Facilitation

Training

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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