Data Science GenAI - Data&AI at Accenture

Milan, Lombardy, Italy

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, ConsultingIndustries

Requirements

1 to 3 years of experience in developing data pipelines and knowledge of data modeling and transformation principles, data structures, storage systems, and partitioning methods
Master's degree in STEM field (Computer Science, Computer Engineering, scientific and engineering paths such as Mathematics, Physics, Bioengineering, etc.)
In-depth knowledge of Python, specifically for data analysis and manipulation (e.g., Pandas, Polars, Numpy, Matplotlib)
Experience (through previous work or university projects) with Machine Learning and Deep Learning techniques, specifically using Large Language Models. Understanding of tasks such as RAG (Retrieval Augmented Generation), Summarization, Chatbot is a plus
Familiarity with code versioning tools (git) and basic knowledge of containerization tools (Docker) and Databases (SQL)

Responsibilities

Understand client needs and develop algorithmic solutions to achieve identified objectives
Collaborate with the team in code development using Python libraries and frameworks, with a focus on Generative AI projects
Manage the entire lifecycle of the solution, from client data management, to model implementation, to production deployment, with particular attention to testing and performance validation
Implement solutions leveraging the latest available technologies (from predefined workflows to agent orchestrators), maintaining a focus on input data quality

Skills

Python

Generative AI

Data Pipelines

Data Modeling

Data Transformation

Data Structures

Storage Systems

Data Partitioning

Machine Learning

Model Deployment

Testing

Data Quality

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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