3 of 3 Permanent Statistical Modelling Jobs in Buckinghamshire

Remote Senior Data Scientist (f/m/d)

Location
Milton Keynes, Buckinghamshire, United Kingdom
capabilities that support stronger commercial decision-making and enhance products used by client-facing teams. As a Senior Data Scientist, you will apply advanced statistical techniques, machine learning methods, and analytical approaches to solve complex business problems and deliver actionable insights that guide business strategy. Working across areas such … forecasting, recommendation systems, network intelligence, experimentation, and predictive modelling, you will lead the design, development, evaluation, and deployment of scalable solutions that create measurable business impact. You will work closely with business stakeholders, Product, Engineering, and Data teams to identify opportunities, shape problem definitions, and translate business challenges into ...

Senior Data Scientist (hybrid/remote)

Location
Buckinghamshire, United Kingdom
capabilities that support stronger commercial decision-making and enhance products used by client-facing teams. As a Senior Data Scientist, you will apply advanced statistical techniques, machine learning methods, and analytical approaches to solve complex business problems and deliver actionable insights that guide business strategy. Working across areas such … forecasting, recommendation systems, network intelligence, experimentation, and predictive modelling, you will lead the design, development, evaluation, and deployment of scalable solutions that create measurable business impact. You will work closely with business stakeholders, Product, Engineering, and Data teams to identify opportunities, shape problem definitions, and translate business challenges into ...

Senior Data Scientist - SanTalk Product Owner - S4 - Chief Data & AI Office - Milton Keynes

Location
Milton Keynes, England, United Kingdom
Languages: English (Required); Spanish or experience working across international teams (Preferred) Hard Skills: Strong knowledge of machine learning, natural language processing, generative AI, experimentation, statistical analysis and model evaluation (Required) Experience owning a digital, data or AI product through its full lifecycle, including product strategy, roadmap management, backlog prioritisation ...