S&C Global Network - AI - Hi Tech - Data Science Analyst
AccentureMatch Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Lead development and fine-tuning of Generative AI models for NLP, Computer Vision, and multimodal use cases including building autonomous workflows and AI agents.
Implement scalable data science workflows on cloud platforms (Azure/AWS) for analytics in marketing, supply chain, and sales domains.
Develop predictive models, recommendation systems, and manage large-scale datasets using Python, SQL and machine learning frameworks like TensorFlow or PyTorch.
Minimum Requirements
2+ years of experience in data engineering or data science.
Bachelor's or Master's degree in Computer Science, Statistics, Applied Mathematics, or related quantitative field required.
Proficiency in Python, SQL, NLP and Computer Vision libraries (Hugging Face, OpenCV), plus experience with Generative AI model development, fine-tuning, and deployment architecture.
Experience with cloud platforms Azure and/or AWS for data science workflows; familiarity with machine learning frameworks and vector databases (FAISS, Pinecone, etc).
Ideal Candidate Profile
Has hands-on expertise in Generative AI, autonomous AI systems, and multi-step reasoning workflows relevant to high-tech sectors like Consumer Tech, Enterprise Tech, and Semiconductors.
Experienced in end-to-end cloud-based data science project delivery combining technical execution with stakeholder/client management.
Comfortable working with complex, large-scale datasets and building tailored AI solutions on Azure/AWS cloud infrastructure in a client-facing environment.