Senior Data Scientist — Hybrid AI & ML Leader

Bupa UK

Salford

Hybrid

GBP 43,000 - 53,000

Full time

2 days ago
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Benefits offered by this job

25 days holiday
Health insurance
Enhanced pension plan
Annual performance-based bonus
Onsite gyms or local discounts

Job summary

Bupa is seeking a Senior Data Scientist to lead data-driven AI initiatives within UK Insurance and healthcare domains. You will manage end-to-end ML projects, build scalable pipelines, and advance Generative AI capabilities in collaboration with cross-functional teams.

Ideal candidates combine deep technical expertise with commercial acumen, mentoring others and driving business impact in a hybrid work environment across multiple UK locations.

Qualifications

  • Experience delivering end-to-end ML solutions with deployment and monitoring.
  • Proficient in MLOps and scale-out ML workflows.
  • Experience in healthcare/insurance or regulated domains is a plus.
  • Strong Python/SQL programming and data engineering skills.

Responsibilities

  • Design, build and deploy ML models across full lifecycle.
  • Deliver actionable insights from healthcare/insurance data to stakeholders.
  • Lead projects from concept to business adoption.
  • Develop and maintain MLOps governance and monitoring.
  • Collaborate with cloud, IT and analytics teams to support AI workloads.

Skills

End-to-end ML solutions
MLOps
Azure ML/AI Studio
Python/SQL
Stakeholder communication
Agile delivery

Education

Bachelor's degree in Mathematics/Statistics/CS
Master's in Data Science/related field

Tools

Azure Machine Learning
Azure AI Studio
Azure Kubernetes Service
Azure DevOps
OpenAI/Generative AI tools

Job description

Bupa is seeking a Senior Data Scientist to lead data-driven AI initiatives within UK Insurance and healthcare domains. You will manage end-to-end ML projects, build scalable pipelines, and advance Generative AI capabilities in collaboration with cross-functional teams.

Ideal candidates combine deep technical expertise with commercial acumen, mentoring others and driving business impact in a hybrid work environment across multiple UK locations.

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