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Data Scientist - NLP Specialist

Job in Durban, 3611, South Africa
Listing for: Placements24
Full Time position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Analyst
Job Description & How to Apply Below
About the Role

Our client is seeking a talented Data Scientist with a specialization in Natural Language Processing (NLP) to join their growing analytics team in Durban . You will be responsible for developing and implementing advanced NLP models to extract insights from textual data, improve customer interactions, and drive business intelligence. This role requires a deep understanding of linguistic structures, machine learning techniques, and practical application in a business context.

You will work closely with product teams to embed NLP capabilities into various applications and services, contributing to data-driven decision-making.

Key Responsibilities
  • Develop and deploy NLP models for tasks such as sentiment analysis, text classification, named entity recognition, and topic modeling.
  • Process and analyze large volumes of unstructured text data from various sources.
  • Collaborate with software engineers to integrate NLP models into existing products and platforms.
  • Design and conduct experiments to evaluate model performance and identify areas for improvement.
  • Research and implement state-of-the-arte NLP techniques and libraries.
  • Communicate complex findings and recommendations to technical and non-technical stakeholders.
Requirements
  • Master's or PhD in Computer Science, Linguistics, Data Science, or a related field.
  • 3+ years of experience in data science with a strong focus on NLP.
  • Proficiency in Python and NLP libraries (e.g., NLTK, Spa Cy, Hugging Face Transformers).
  • Experience with machine learning frameworks (Tensor Flow, PyTorch) and their application to NLP.
  • Solid understanding of statistical methods and machine learning principles.
  • Experience with data visualization tools and techniques.
Benefits
  • Competitive salary and performance incentives.
  • Comprehensive health and wellness benefits.
  • Opportunities for continuous learning and skill development in AI.
  • Hybrid work model balancing office collaboration and remote flexibility.
  • Engaging work environment with opportunities to solve challenging data problems in Durban .
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