7 of 7 Statistical Modelling Jobs in Cambridgeshire

projects. Act as technical lead and solution architect on complex programmes. Apply techniques including Transformer Models, LLMs, Reinforcement Learning, Computer Vision, Sensor Processing and Statistical Modelling . Provide technical oversight, governance and peer review across projects. Work directly with customers to define requirements and deliver innovative solutions. Support … Learning, Mathematics, Physics or a related discipline. SC Clearance eligibility . Desirable: Signal Processing, Sensor Fusion or Edge Computing experience. Numerical Optimisation, Simulation or Statistical Modelling expertise. Proposal leadership, technical sales or client development experience. PhD, published research or conference speaking experience. Benefits: Up to £90,000 base ...

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 ...

data solutions: ingestion from collection systems and APIs, schema design and data storage, transformation/ETL, model training and evaluation, and operational delivery. Develop statistical and machine learning models for entity resolution, anomaly detection, classification, clustering, and pattern-of-life analysis across multi-INT datasets. Build dashboards and lightweight … data solutions: ingestion from collection systems and APIs, schema design and data storage, transformation/ETL, model training and evaluation, and operational delivery. Develop statistical and machine learning models for entity resolution, anomaly detection, classification, clustering, and pattern-of-life analysis across multi-INT datasets. Build dashboards and lightweight ...

code in your current role In-depth knowledge of at least one omics technology A track record of developing new computational methods Experience applying statistical modelling or machine-learning methods to complex biological datasets Proven ability to set computational strategy and manage projects independently Experience developing the technical ...

quantum computing and communication, and many more. We believe that many obstacles in developing these technologies can be removed using a combination of simulation, statistical modelling and optimisation techniques. Infrastructure Engineer Cambridge, UK Start date: September 2026 or ASAP Contract: Permanent, full‐time role About Us Founded ...

generate incremental lifetime value of our portfolio through the delivery and development of retail pricing models and optimisations using innovative and cutting-edge modelling approaches. You will help continuously improve the pricing process and enhance the abilities of the wider team, as well as being involved with integrating … establishing the use of advanced data science and statistical techniques to enhance pricing model accuracy and output. Key Responsibilities End to end production of pricing models using a tailor-made pricing pipeline Use of Earnix to build predictive statistical models and intelligently optimise customer prices Contribute and implement ...

generate incremental lifetime value of our portfolio through the delivery and development of retail pricing models and optimisations using innovative and cutting-edge modelling approaches. You will help continuously improve the pricing process and enhance the abilities of the wider team, as well as being involved with integrating … establishing the use of advanced data science and statistical techniques to enhance pricing model accuracy and output. Key Responsibilities End to end production of pricing models using a tailor-made pricing pipeline Use of Earnix to build predictive statistical models and intelligently optimise customer prices Contribute and implement ...