Customer Insight Data Scientist developing NLP and text analytics solutions for a leading online pharmacy. Transforming unstructured customer feedback into actionable insights across multiple channels.
Responsibilities
Build and lead Pharmacy2U’s Voice of the Customer (VoC) capability
Using NLP and text analytics, turn large volumes of unstructured customer feedback into structured insight
Support classification and semantic similarity use cases
Produce regular insight outputs for customer service and operational leadership
Link customer contact data to CRM and patient records
Requirements
Demonstrated experience with NLP techniques including text classification, sentiment analysis, topic modelling, and intent recognition
Experience working with transformer‑based models, text embeddings, and modern NLP toolkits (e.g. HuggingFace, sentence‑transformers, BERT)
Practical experience building and operating text data pipelines, including extraction, cleaning, normalisation, and processing at scale
Proficiency in Python for text analytics (e.g. spaCy, HuggingFace Transformers, NLTK, scikit‑learn or similar) and ability to write SQL for relational data exploration
Experience working with messy, real‑world text data, including inconsistent formats, spelling errors, abbreviations, and imperfect labelling
Comfortable investigating data quality issues and working with ambiguous, incomplete, or noisy data
Experience designing annotation workflows, including labelling schemes, dataset management, and quality evaluation
Ability to communicate text analytics insights through dashboards and visualisations for non‑technical audiences
Background in NLP, text analytics, or data science roles, with exposure to VoC, customer insight, CX metrics, LLM‑based text analysis, cloud ML platforms, or conversational AI use cases *(beneficial)*
Benefits
Competitive contributory pension
Occupational sick pay
Long-service awards and refer-a-friend bonuses
Professional registration fees covered (GPhC, NMC, CIPD and more)
Cycle to Work and Green Car schemes (subject to eligibility)
Enhanced maternity and paternity pay
Flexible hybrid working to help balance work and home life
Private healthcare insurance at discounted rates (Aviva)
Employee Assistance Programme and in-house mental health support
Access to discounted gym memberships via Blue Light Card and benefits schemes
Regular health and wellbeing initiatives
Strong commitment to CPD, training and professional development
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