Data Scientist

Data Scientist (AI & Analytics)

Location: Remote (UK), Occasional travel

Inizio Medical is part of Inizio, a global leader in healthcare communications. We help pharmaceutical and healthcare organisations turn complex science into meaningful impact through data, insights, and innovation.

We’re expanding our Medical Analytics & Innovation team and looking for a Data Scientist who enjoys solving real-world problems with machine learning, AI, and data engineering. This is an opportunity to build products, not just analyses, at the intersection of healthcare, analytics, and generative AI.

• →Execute end-to-end data science projects with guidance from senior team members, from problem definition to deployment.
• →Build and optimise machine learning and NLP solutions that drive client decision-making.
• →Design scalable data pipelines and workflows using structured and unstructured data.
• →Apply LLM APIs to build and enhance analytical and client-facing deliverables, including prompt design, RAG architectures, and vector search.
• →Source, extract, and normalise data from external APIs (REST and GraphQL), handling authentication, pagination, and schema variability; integrate cloud services and modern data platforms into analytical workflows.
• →Create reusable tools and frameworks that scale insights across clients and projects.
• →Review, iterate on, and maintain existing code and analytical outputs to ensure accuracy, reliability, and long-term maintainability.
• →Partner with senior data scientists, engineers, strategists, and client teams to deliver measurable impact.

• Extensive experience in Data Science, Machine Learning, applying AI, NLP or related fields.
• BSc and/or advanced degree in Statistics, Physics, Economics, Mathematics, Computer Science, or a related field
• Strong Python and SQL skills; comfortable working with relational database structures including querying, designing schemas, and building data models; experience with data visualization tools (eg PowerBI, Tableau)
• Experience building and deploying ML/NLP solutions in production environments.
• Hands-on experience with LLMs and GenAI platforms (e.g. OpenAI, Anthropic, Azure OpenAI).
• Familiarity with RAG, vector databases, prompt engineering, and AI application development.
• Experience working with cloud platforms (AWS, Azure, or GCP).
• Strong statistical and analytical foundations.
• Strong cross-functional communication skills; able to work across diverse teams, translate between technical and non-technical stakeholders.

• Experience with Spark, Hadoop, TensorFlow, or large-scale data processing.
• Healthcare, pharmaceutical, or life sciences experience.
• Software engineering and application deployment experience.