Nucleus Global

Nucleus Global

Nucleus Global specializes in providing comprehensive medical communications services, including compliant events, publications, and digital programs, to support the marketing and medical affairs teams of leading healthcare and pharmaceutical brands wo...

Media
51-250
Founded 1992

Description

  • Execute end-to-end data science projects from problem definition through deployment.
  • Build and optimise machine learning and NLP solutions that support client decision-making.
  • Design scalable data pipelines and workflows for structured and unstructured data.
  • Apply LLM APIs to create and improve analytical and client-facing deliverables.
  • Design and implement prompt workflows, RAG architectures, and vector search solutions.
  • Source, extract, and normalise data from external APIs and integrate cloud services 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 for accuracy and reliability.
  • Partner with senior data scientists, engineers, strategists, and client teams to deliver measurable impact.

Requirements

  • Extensive experience in data science, machine learning, 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.
  • Experience working with relational databases, including querying, schema design, and data modelling.
  • Experience with data visualisation tools such as PowerBI or Tableau.
  • Experience building and deploying ML/NLP solutions in production environments.
  • Hands-on experience with LLMs and GenAI platforms such as OpenAI, Anthropic, or Azure OpenAI.
  • Familiarity with RAG, vector databases, prompt engineering, and AI application development.
  • Experience working with cloud platforms such as AWS, Azure, or GCP.
  • Strong statistical and analytical foundations.
  • Strong cross-functional communication skills and the ability to translate between technical and non-technical stakeholders.
  • Preferred: experience with Spark, Hadoop, TensorFlow, or large-scale data processing.
  • Preferred: healthcare, pharmaceutical, or life sciences experience.
  • Preferred: software engineering and application deployment experience.

Benefits

  • Remote-first, flexible working environment.
  • Competitive salary.
  • Benefits package.
  • Private medical insurance.
  • Opportunity to build AI products used in real-world healthcare settings.
  • Work on cutting-edge GenAI initiatives with significant autonomy.
  • Collaborative culture focused on innovation, learning, and impact.

Interested in this position?

Apply directly on the company website

Apply Now

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