Data Scientist - NLP Focus
Remote / Online - Candidates ideally in
Gqeberha, Port Elizabeth, 6000, South Africa
Listed on 2026-09-06
Gqeberha, Port Elizabeth, 6000, South Africa
Listing for:
Placements24
Remote/Work from Home
position Listed on 2026-09-06
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software), Data Analyst
Job Description & How to Apply Below
Our client is a leader in leveraging AI to transform industries and is seeking a talented Data Scientist with a specialization in Natural Language Processing (NLP) to join their expanding team, working remotely. This role focuses on extracting meaningful insights from text data, developing advanced NLP models, and applying them to solve critical business problems. You will collaborate with a team of data scientists, engineers, and domain experts to build intelligent systems that understand and process human language.
This is an exciting opportunity for an NLP expert to drive innovation in a fully remote setting.
- Develop, train, and deploy sophisticated NLP models for tasks such as text classification, sentiment analysis, named entity recognition, and machine translation.
- Utilize deep learning techniques and state-of-the-art NLP libraries (e.g., Transformers, spaCy, NLTK) to build cutting-edge language models.
- Clean, preprocess, and analyze large volumes of unstructured text data from various sources.
- Collaborate with product managers and engineers to integrate NLP solutions into user-facing applications and internal tools.
- Design and conduct experiments to evaluate model performance and identify areas for improvement.
- Communicate complex findings and model capabilities to both technical and non-technical audiences.
- Master's or Ph.D. in Computer Science, Computational Linguistics, Data Science, or a related field with a strong focus on NLP.
- Proven experience in developing and implementing NLP models for real-world applications.
- Proficiency in Python and extensive experience with NLP libraries and frameworks.
- Strong understanding of machine learning algorithms and statistical modeling.
- Experience working with large datasets and distributed computing environments is a plus.
- Excellent problem-solving skills and the ability to thrive in a dynamic, remote work environment.
- Highly competitive salary and performance bonuses.
- Full remote work arrangement, offering flexibility and work-life balance.
- Comprehensive health and wellness benefits package.
- Generous budget for professional development, conferences, and online courses.
- Access to cutting-edge tools and a supportive community of AI professionals.
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