3 of 3 Bayesian Methods Jobs in England

Lead Data Scientist (SEL & SWL)

Hiring Organisation
South West London Integrated Care Board
Location
Wimbledon, SW191RH, United Kingdom
Salary
£72719.00 to £83505.00
Opportunity You will have the opportunity to help shape and mature Data Science across South East and South West London, applying advanced methods to challenges spanning Population Health Management, strategic commissioning, inequalities, planning and service improvement. The opportunity goes beyond developing sophisticated models. You will influence how Data Science … preparation modelling validation deployment monitoring evaluation measurable benefit You will provide senior technical and methodological authority, challenging analytical approaches where necessary and ensuring that methods and models are appropriate for the problem being addressed. You will work closely with Data Engineers to ensure that the data preparation, orchestration, transformation ...

Senior Data Scientist

Hiring Organisation
WRK DIGITAL LTD
Location
Leeds, West Yorkshire, Yorkshire, United Kingdom
Employment Type
Permanent
Salary
£85,000
both technical and non-technical audiences. A proven track record of turning business problems into measurable outcomes. Nice to Have Experience with Bayesian modelling, optimisation algorithms or multi-armed bandits. Exposure to Generative AI, LLMs or agentic AI systems. MLOps experience, including CI/CD, model monitoring ...

Lead Data Scientist

Hiring Organisation
Hackajob Ltd
Location
South West London, London, United Kingdom
Employment Type
Permanent
quality, customer effort, process adherence, consistency, fairness, durability of resolution and cost effectiveness. Identify the root causes of issues by combining machine learning, statistical methods and domain expertise from colleagues to understand what genuinely drives customer outcomes. Identify and test solutions Turn analytical insight into concrete proposals to improve … Python skills, with experience working with large, complex and imperfect datasets. Strong grounding in statistical analysis (e.g., classical ANOVA, non-parametric uncertainty quantification, Bayesian estimation) and causal inference, with experience designing both controlled experiments and observational studies. Experience applying machine learning, statistical modelling, NLP and LLM-based ...