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Senior Specialist, Data Science & Artificial Intelligence

United Kingdom Novartis Approximately £65,000–£95,000 per year, potentially supplemented by bonus, pension and other Novartis benefits.*
Job Description

The role requires strong experience in data science, artificial intelligence, machine learning, statistical analysis and translating complex data into business or healthcare insights. Candidates are likely expected to hold a degree in data science, computer science, statistics, mathematics or a related discipline, with practical experience using Python, R, SQL, cloud platforms and modern AI tools. The successful candidate should communicate clearly with technical and non-technical stakeholders, manage projects independently and work effectively across multidisciplinary teams. Experience in pharmaceuticals, healthcare, life sciences or regulated environments would be valuable. Novartis will expect a proactive professional who can identify opportunities for responsible AI adoption, deliver reliable analytical solutions and contribute to innovation while maintaining high standards of data governance, ethics and quality.

Company Info

Novartis is a global medicines company headquartered in Basel, Switzerland, focused on researching, developing and delivering innovative treatments. Its work spans areas such as cardiovascular and renal diseases, immunology, neuroscience, oncology and rare diseases. The company combines pharmaceutical research with advanced technology, data science and digital capabilities to improve patient outcomes and address major healthcare challenges. Novartis employs people across many countries and supports collaboration among scientists, clinicians, engineers, commercial specialists and corporate teams. In the United Kingdom, it operates through research, medical, commercial and corporate functions, working with healthcare professionals, institutions and national health bodies. The organisation promotes scientific innovation, inclusion, professional development and responsible business practices. Employees typically work in internationally connected teams and may have access to flexible working, learning programmes, wellbeing support and competitive benefits, depending on their role and location.

Destination Guide

The United Kingdom offers strong opportunities in pharmaceuticals, biotechnology, healthcare, technology, data science, finance and professional services, particularly around London, Cambridge, Oxford, Manchester and Edinburgh. British workplace culture generally values punctuality, clear communication, personal responsibility and respectful collaboration, while many employers support hybrid working. Lifestyle options range from major-city arts, restaurants and nightlife to coastal communities, national parks and historic towns. Living costs are highest in London and the southeast; salaries and housing costs are often lower elsewhere. EU and non-UK nationals usually need the appropriate visa to work, commonly the Skilled Worker visa, with an eligible employer sponsoring the application. Applicants should check current salary thresholds, occupation codes and English-language requirements before relocating. The UK has public healthcare through the NHS, although visa applicants may pay an immigration health surcharge. Planning accommodation, banking, tax registration and transport is advisable before arrival.

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