Senior Data Scientist

Company Description

DATAECONOMY is a fast-growing global cloud-first data and AI consultancy, delivering enterprise-grade solutions powered by an innovative IP suite. Our expertise includes Data & BI Platform Modernization, Self-Service AI Platforms, and Data Fabric. We also specialize in Data Mesh, Data Governance, Cloud Enablement, and more. Our mission is to help organizations leverage data and AI to drive meaningful business outcomes.

Role Description

We are looking for a highly skilled Senior Data Scientist with 4–8 years of experience specializing in Python, Large Language Models (LLMs), NLP, Machine Learning, and Generative AI. The ideal candidate will have a deep understanding of building intelligent systems using modern AI frameworks and deploying them into scalable, production-grade environments. You will work closely with cross-functional teams to build innovative AI solutions that deliver real business value.

Responsibilities:

• Design, develop, and deploy ML/NLP solutions using Python and state-of-the-art AI frameworks.
• Apply LLMs and Generative AI techniques to solve real-world problems.
• Build, train, fine-tune, and evaluate models for NLP and Genai tasks.
• Collaborate with data engineers, ML Ops, and product teams to operationalize models.
• Contribute to the development of scalable AI services and applications.
• Analyze large datasets to extract insights and support model development.
• Maintain clean, modular, and version-controlled code using Git.

Requirements

• 4–8 years of hands-on experience with Python for data science and ML applications.
• Strong expertise in Machine Learning algorithms and model development.
• Proficient in Natural Language Processing (NLP) and text analytics.
• Experience with Large Language Models (LLMs) and Generative AI frameworks (e.g., Lang Chain, Hugging Face Transformers).
• Familiarity with model deployment and real-world application integration.
• Experience with version control systems like Git.

Notice Period:

Location:

Experience:

Contact Email: