This role is for the AI team that is responsible for building Natural Language Processing (NLP) Solutions for Advanced Products.

As a Principal Data Scientist, you will:

• Responsible for Data Analysis and building AI/ML solutions.
• Design, develop, and deploy state-of-the-art NLP models, including sentiment analysis, language translation, chatbots, text summarization, and entity recognition.
• Oversee the collection and preprocessing of textual data, ensuring data quality and relevance for NLP tasks.
• Innovate, keep abreast of industry trends and competition grasping new LLM architectures and technologies.
• Resolve ambiguous and complex business problems/asks into simple technical systems that can be worked by the team.
• Responsible for quick POC’s to evaluate the NLP solution before productionizing.
• Design, develop, and deploy advanced NLP models, including but not limited to Word2Vec, deep learning, LLM and natural language processing (NLP) models.
• Ensure models are scalable, maintainable, and align with the organization's goals.
• Lead and mentor a team of data scientists, providing guidance on best practices, methodologies, and innovative solutions.

As a Principal Software Engineer, you will have:

• Candidate should have 9+ years of industry experience with at least 5 years of experience as a Data Scientist.
• Bachelor’s or master’s degree in computer science, data science, artificial intelligence, or a related field.
• Experience in building real world AI solutions/products.
• Strong programming skills in languages like Python.
• Proficiency in NLP frameworks and libraries, such as spaCy, NLTK, Transformers (Hugging Face), and deep learning techniques for text analysis.
• Strong understanding of NER, POS tagging, tokenization, stemming, lemmatization, and other text preprocessing techniques.
• Solid understanding of linear algebra, calculus, and statistics, which are foundational to machine learning.
• Experience in developing microservices and containerized application.
• Competence to work Independently and able understand and suggest Model Architectural changes based on the cost implications of the cloud infrastructure.
• Highly motivated, able to work proficiently both independently and in a team environment.
• Experience with Azure and AWS ML services is preferred.
• Effective communication of ideas and information, both verbally and design documents where necessary.
• Experience with source control management systems (GitHub) and continuous integration/deployment environments.
• Should be able to mentor/drive junior team members to achieve desired outcome.

• Generous Annual Leave – 20 days, plus public holidays, with the possibility to buy additional days
• Life Insurance – 3x times annual salary
• 65% Internal Mobility – Committed to the development & growth of our people
• Exposure to the latest technologies

Advanced is one UK's largest providers of business software and services serving 20,000+ global customers with an annual turnover of £330M+. We manage 1.5 million 111 calls per month, support over 2 million Further Education learners across the UK, handle over 10 million wills, and so much more. Our mission is to power the world of work and, as you can see, our software underpins some of the UK's most critical sectors.

We invest in our brilliant people. They are at the heart of our success as we strive to be a diverse, inclusive and engaging place to work that not only powers the world of work, but empowers the growth, ambitions and talent of our people.

To learn more about working at Advanced please click here