Data Scientist
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About the role
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.
Responsibilities
- 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.
Requirements
- 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.
- Why Join Us?
- Build AI products that are used in real-world healthcare settings.
- Work on cutting-edge GenAI initiatives with significant autonomy.
- Remote-first, flexible working environment.
- Competitive salary, benefits, and private medical insurance.
- Collaborative culture focused on innovation, learning, and impact.
- If you're excited about applying machine learning and generative AI to meaningful healthcare challenges, we'd love to hear from you
Benefits
Additional Information
Data Scientist (AI & Analytics) Location: Remote (UK), Occasional travel
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