Remote Data Scientist Job in Wales, UK Alexander Rhodes Associates Ltd

Who you are

• Demonstrated experience with Machine learning and NLP
• Experience with the application, deployment, and transfer learning of open-source LLMs
• Strong background in research and/or industrial roles building AI and data systems for organizations
• Development of training algorithms and management of training datasets
• Able to clearly articulate and propose ideas to non-technical stakeholders across the business
• Knowledge and experience of Python with applicable ML libraries such as nltk, spacy, scikit-learn, transformers, and sentence-transformers
• Proficient in presenting findings using visual tools
• Ability to work with a high degree of autonomy and initiative
• Producing maintainable, production-ready code
• Communicative, adaptable, and resilient to change
• Knowledge of Microservices architecture patterns
• Knowledge of Docker and Kubernetes
• Knowledge of Kafka as a streaming and queueing system
• Experience with Software Engineering practices including Git version control, Test Driven Development, and Agile practices

What the job involves

• Design, develop, and deploy NLP models and algorithms to analyze large-scale text data
• Preprocess and clean text data to prepare it for analysis, including tokenization, stemming, lemmatization, and entity recognition
• Implement and fine-tune machine learning models for various NLP tasks such as text classification, named entity recognition, topic modeling, and language generation
• Conduct exploratory data analysis to uncover trends, patterns, and insights from text data
• Collaborate with data engineers to ensure the integration of NLP solutions into existing data pipelines and systems
• Work closely with product managers and business stakeholders to understand requirements and translate them into technical solutions
• Continuously research and stay updated with the latest advancements in NLP and machine learning to apply best practices and innovative approaches
• Communicate findings and insights through effective data storytelling, visualizations, and presentations to both technical and non-technical audiences
• Ensure the ethical and responsible use of data and NLP technologies in all projects