Data Scientist

Posted 4 Days Ago
Be an Early Applicant
Hiring Remotely in United Kingdom
Remote
Senior level
Healthtech • Pharmaceutical
The Role
Deliver end-to-end data science projects: build and deploy ML/NLP and generative-AI solutions, design scalable data pipelines, integrate cloud services and APIs, implement RAG/vector-search applications, and collaborate with cross-functional teams to produce reusable tools and client-facing products.
Summary Generated by Built In

Data Scientist (AI & Analytics)


Location: Remote (UK), Occasional travel


About Us

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.


What You’ll Do

  • 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.

What We’re Looking For

  • 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.

Nice to Have

  • 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


Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.


Skills Required

  • Extensive experience in Data Science, Machine Learning, AI, or NLP
  • BSc or advanced degree in Statistics, Physics, Economics, Mathematics, Computer Science, or related field
  • Strong Python skills
  • Strong SQL skills and experience with relational database querying, schema design, and data modelling
  • Experience with data visualization tools (e.g., Power BI, Tableau)
  • Experience building and deploying ML/NLP solutions in production
  • Hands-on experience with LLMs and GenAI platforms (OpenAI, Anthropic, Azure OpenAI)
  • Familiarity with RAG architectures, vector databases, prompt engineering, and AI application development
  • Experience sourcing, extracting, and normalising data from external APIs (REST and GraphQL)
  • Experience working with cloud platforms (AWS, Azure, or GCP)
  • Strong statistical and analytical foundations
  • Strong cross-functional communication skills; translate technical work for 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
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The Company
HQ: London
0 Employees

What We Do

TIME FOR TRANSFORMATION The real world is now a multi-dimensional universe of decision makers, evidence needs and healthcare systems requiring a connected, systematic and dynamic approach to medical and evidence planning, data dissemination, stakeholder engagement and education. The opportunity extends beyond traditional medical agency services to meet the growing and diversifying needs of medical affairs and finding integrated solutions in a fragmented and underserved market. We bring more than 20 years of experience in medical affairs with deep therapeutic expertise across oncology, specialised medicine and effecting change in chronic diseases. MEDiSTRAVA is part of Inizio Medical. Inizio is a strategic partner for health and life sciences with a full suite of medical, marketing, advisory and engagement services.

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