Data Scientist - NLP Specialist

About the Role

Our client is seeking a talented Data Scientist with a specialization in Natural Language Processing (NLP) to join their dynamic team in Milton Keynes . You will be instrumental in extracting insights and building intelligent systems from unstructured text data, driving innovation in areas such as sentiment analysis, chatbots, and text summarization. This role requires a blend of strong analytical skills, deep understanding of NLP techniques, and the ability to translate complex findings into actionable business strategies. You will work closely with product teams to embed NLP capabilities into new and existing products, contributing significantly to the company's data-driven transformation. This is an exciting opportunity to apply your expertise in a challenging and rewarding environment.

Key Responsibilities

• Develop and deploy state-of-the-art NLP models for tasks such as text classification, named entity recognition, and topic modeling.
• Perform data preprocessing, feature engineering, and model evaluation for NLP projects.
• Collaborate with engineers to integrate NLP solutions into product features and internal tools.
• Conduct research on emerging NLP trends and techniques to enhance our capabilities.
• Present findings and model performance metrics to both technical and non-technical audiences.

Requirements

• MSc or PhD in Computer Science, Linguistics, Data Science, or a related field with an NLP focus.
• Proven experience in developing and deploying NLP models using libraries like spaCy, NLTK, or Hugging Face Transformers.
• Strong programming skills in Python and experience with ML frameworks.
• Familiarity with large language models (LLMs) and their applications.
• Excellent communication skills and the ability to explain complex technical concepts clearly.

Benefits

• Competitive salary package with performance incentives.
• Comprehensive health, dental, and vision coverage.
• Generous holiday allowance and flexible working options.
• Opportunities for continuous learning and attending industry conferences.
• A collaborative and innovative team atmosphere focused on cutting-edge research.