Data Scientist - NLP Focus
- manchester, greater manchester, M1 1AE, United Kingdom
- Permanent·On-site
- Full time
- £70,000 - £70,000 Per Annum
Job Description
About the Role
Our client is seeking a skilled and analytical Data Scientist with a strong focus on Natural Language Processing (NLP) to contribute to their cutting-edge projects in Manchester . You will be responsible for extracting insights from unstructured text data, developing sophisticated NLP models for tasks such as sentiment analysis, text summarization, and machine translation, and collaborating with product teams to enhance user experience through intelligent language understanding. This role offers a significant opportunity to work on impactful data-driven initiatives, leverage advanced AI techniques, and make a tangible difference in how users interact with technology, all within a progressive and supportive organizational culture.
Key Responsibilities
- Design, develop, and deploy NLP models and algorithms to analyze large volumes of text data.
- Perform data preprocessing, feature engineering, and model evaluation for NLP tasks.
- Collaborate with product managers and engineers to define project requirements and deliver data-driven solutions.
- Visualize and communicate complex findings and insights to technical and non-technical stakeholders.
- Contribute to the development of a robust data science infrastructure and best practices.
Requirements
- Master's or Ph.D. in Computer Science, Linguistics, Data Science, or a related field.
- 3+ years of professional experience in data science, with a specialization in NLP.
- Strong proficiency in Python and experience with NLP libraries such as NLTK, spaCy, Hugging Face Transformers.
- Experience with machine learning techniques and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Demonstrated ability to handle large datasets and perform complex data analysis.
Benefits
- Competitive salary and performance-based incentives.
- Excellent health, dental, and vision insurance coverage.
- Generous holiday allowance and flexible working options.
- Opportunities for professional growth and continuous learning.
- A dynamic and collaborative work environment focused on innovation in Manchester .


