S&c Global Network - Ai - Hi Tech - Data Science Analyst
Accenture Australia
Bengaluru, Karnataka, India
Not specified (assumed hybrid based on company practices).
Prompt engineering
Python programming
Nlp and computer vision techniques
Accenture Australia is seeking a Senior Data Scientist for its Hi-Tech practice in Bengaluru, focusing on applying AI and GenAI techniques to drive business transformations across various industries. The ideal candidate should have extensive experience in data science, particularly in sectors like semiconductors and consumer technology, and possess strong skills in Python and machine learning
Job Summary
This role involves driving strategic initiatives and managing business transformations by leveraging industry expertise to create value-driven solutions.
The ideal candidate will develop AI models and GenAI applications specifically for sectors such as semiconductors, enterprise technology, and medical technology.
Candidates must possess hands-on experience in data science within the Hi-Tech practice and be able to lead design and delivery on client projects.
Matching Summary
Match Score: 85
Accenture Australia is seeking a Senior Data Scientist for its Hi-Tech practice in Bengaluru, focusing on applying AI and GenAI techniques to drive business transformations across various industries. The ideal candidate should have extensive experience in data science, particularly in sectors like semiconductors and consumer technology, and possess strong skills in Python and machine learning.
Skills & Requirements
Must-have
Prompt Engineering
Python programming
NLP and Computer Vision techniques
Cloud platforms Azure or GCP
AI model development experience
Nice-to-have
Design thinking application
Business process optimization skills
Stakeholder management capabilities
AWS cloud platform familiarity
Experience with PLM/ERP/CRM systems
Key Requirements
5 to 8 years of relevant experience
Minimum 15 years of education
Proficiency in Python and NLP
Experience with LLM tools like ChatGPT or Hugging Face