Data Science Practitioner at Accenture

Pune, Maharashtra, 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 years of experience in Large Language Models
Proficiency in Large Language Models
Strong understanding of natural language processing techniques and their applications
Experience with model evaluation and performance metrics specific to AI and machine learning
Familiarity with programming languages such as Python or R for data analysis and model development
Ability to communicate complex technical concepts to non-technical stakeholders
Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks
15 years full time education

Responsibilities

Formulating, designing, and delivering AI/ML-based decision-making frameworks and models for business outcomes
Measuring and justifying the value of AI/ML solutions
Acting as a subject matter expert (SME), collaborating, and managing the team
Responsible for team decisions
Engaging with multiple teams and contributing to key decisions
Providing solutions to problems for immediate team and across multiple teams
Facilitating knowledge sharing and best practices within the team
Mentoring junior professionals
Analyzing data, developing innovative models, and presenting findings to stakeholders
Leading AI-driven solution design and delivery using GenAI and Agentic AI to address business challenges, automate processes, and integrate insights into workflows

Skills

Large Language Models

Machine Learning

Natural Language Processing

Data Analysis

Decision-Making Frameworks

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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