4 of 4 Permanent Natural Language Processing Jobs in West Yorkshire

and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data science solutions. More ❯

add significant value, collaborating with and enthusing our stakeholders. You will: Work within a pod of Data Science professionals to develop and implement predictive analytics, time-series forecasting, and natural language processing models, in use cases that include forecasting aircraft maintenance needs and optimising operations. Take responsibility for delivering initiatives, adopt our Data Science ways of working … be able to break down initiatives into measurable tasks, and report progress and issues blocking progress. Work with our data teams to design and implement data collection, processing, and analysis frameworks, ensuring data integrity and accuracy. Be skilled at storytelling, be able to explain solutions to stakeholders and recommend actions to take for the business to realise value from More ❯

the hospitality sector approaches pricing and forecasting. The team is applying advanced ML techniques to solve real commercial problems-everything from demand forecasting to booking behaviour clustering and light NLP use cases. THE ROLE: You'd join a high-calibre team in a full-stack data science role where you'll build and deploy models end-to-end, owning projects … from experimentation to production. A Data Scientist (forecasting) will need to: Building and deploying ML models (Python, Pandas, GCP) Forecasting revenue Exploring clustering techniques Applying NLP to classify ancillary bookings Collaborating with a small, high-calibre team of PhD-level Data Scientists, Engineers, and wider product team YOUR SKILLS AND EXPERIENCE: A successful Data Scientist will have the following skills More ❯

and qualifications: Experience: 5+ years in product management, innovation, or marketing technology, ideally within an agency, adtech, or SaaS environment. Technical Fluency: Strong understanding of AI/ML concepts (NLP, GenAI, predictive modeling), APIs, and no-/low-code platforms. Performance Marketing Acumen: Familiarity with media channels (Meta, Google, TikTok, etc.), attribution, creative testing, and reporting workflows. Skills or competences More ❯