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Senior Data Scientist

Job in Salford, Manchester, Greater Manchester, M9, England, UK
Listing for: Bupa
Apprenticeship/Internship position
Listed on 2026-09-13
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 48200 GBP Yearly GBP 48200.00 YEAR
Job Description & How to Apply Below
Location: Salford

Job Title:

Senior Data Scientist
Job Grade: C15
Salary: £48,200.00 DOE and location + Fantastic benefits
Location status:
Hybrid (flexible working options available) 3 days WFH

Location:

Bupa Place, Salford – Willow House, Staines – Angel Court, London
Permanent/fixed term contract:
Permanent

About the Role

We Make Health Happen At Bupa, we're harnessing the power of data, machine learning and artificial intelligence to transform healthcare and insurance for our customers. We're looking for a Senior Data Scientist to join our Applied AI team and play a leading role in delivering innovative, data-driven solutions across our UK Insurance operations and healthcare management functions. This is an exciting opportunity for an experienced data scientist who combines deep technical expertise with strong commercial awareness.

You'll work with large, complex datasets, including claims, pre-authorisation and service interaction data, helping to uncover insights, develop predictive models and deliver AI solutions that make a tangible impact on our business and customers. You'll also be a key advocate for Applied AI across the organisation, helping to shape opportunities, influence strategy and develop future talent.

What You’ll Be Doing
  • Designing, building and deploying machine learning models and AI solutions across the full lifecycle, from data preparation and model development through to deployment, monitoring and optimisation.
  • Delivering actionable insights from complex healthcare and insurance datasets, presenting findings to stakeholders at all levels, including senior leadership.
  • Leading projects from initial problem definition through to implementation and business adoption.
  • Building and maintaining robust MLOps frameworks, governance processes and best practices.
  • Partnering with IT architects, platform teams and solution designers to ensure cloud environments support analytical and AI workloads.
  • Conducting adhoc analysis using large-scale datasets including claims, pre-authorisation and customer service data.
  • Developing and maintaining strong stakeholder relationships across the business.
  • Coaching and mentoring junior team members and potentially supporting summer interns.
  • Championing coding standards, quality assurance and analytical best practice.
  • Working within Agile teams where appropriate.
  • Ensuring all work complies with regulatory requirements and maintains the highest standards of data security and governance.
  • Supporting the development of Generative AI solutions, including Retrieval-Augmented Generation (RAG), semantic search, agentic workflows and LLM orchestration.
  • Contributing thought leadership in Data Science, Machine Learning, AI and Generative AI to help position UK Insurance Data & Analytics as a centre of excellence.
What We’re Looking For

We're seeking a highly analytical and commercially minded professional with a passion for turning data into meaningful outcomes.

Essential Skills and Experience
  • Proven experience delivering end-to-end machine learning solutions, including model development, deployment, monitoring and continuous improvement.
  • Experience implementing MLOps frameworks and ope rationalising machine learning at scale.
  • Strong track record of generating actionable insights from data, ideally within healthcare, insurance or another regulated industry.
  • Hands‑on expertise with supervised and unsupervised machine learning techniques, including: XGBoost LightGBM Random Forests Clustering techniques Regression analysis Correlation analysis Multilevel modelling
  • Strong programming and data engineering skills using Python, SQL and/or SAS.
  • Experience building automated machine learning pipelines and working with large enterprise data environments.
  • Strong experience with the Microsoft Azure…
Position Requirements
10+ Years work experience
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