4 of 4 Permanent Statistical Modelling Jobs in East Anglia

and external reporting obligations (e.g., DBFO performance regimes). Lead cross-functional collaboration to ensure strategic insights from RMMS, EAM, and other data sources inform asset renewal prioritisation, lifecycle modelling, and investment strategy. Sponsor innovation in performance intelligence-e.g., integration of predictive analytics, failure modelling, or risk-weighted performance tracking. Functional Leadership & Capability Building - Provide strategic oversight of … regulated services, or government frameworks. Ability to structure insight products that align with DBFO obligations, concessionaire expectations, or national infrastructure KPIs. Advanced Analytical and Technical Proficiency - Strong background in statistical analysis, diagnostic modelling, and the use of analytics to support asset management decisions. Hands-on experience in Python and/or R, SQL database interrogation, data modelling … data management standards (e.g., ISO 8000, DAMA DMBOK, FAIR Principles). Experience in leading digital transformation programmes involving data architecture or system migration. Understanding of lifecycle planning methodologies, risk modelling, and decision support tool environments. Why work for AtkinsRéalis ? Our Transportation teams are reinventing transport for a challenging yet exciting future. We're creating new ideas and smart solutions More ❯

for a Technical Pricing Manager to 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 and 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 improvements to the pricing process to increase pricing performance and efficiency Contribute and lead … research and development opportunities to help innovate and improve current modelling and pricing methodologies Evaluate and utilise tools and data items created by the data science teams Ensure all activity is compliant with pricing governance and follows established controls Work closely with the Commercial Pricing Team to ensure pricing models meet business objectives, and manage relationships with key stakeholders More ❯

for a Technical Pricing Manager to 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 and 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 improvements to the pricing process to increase pricing performance and efficiency Contribute and lead … research and development opportunities to help innovate and improve current modelling and pricing methodologies Evaluate and utilise tools and data items created by the data science teams Ensure all activity is compliant with pricing governance and follows established controls Work closely with the Commercial Pricing Team to ensure pricing models meet business objectives, and manage relationships with key stakeholders More ❯

tensor processors, on-chip LiDAR, 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. Founded in 2021, we have backing from great investors in Silicon Valley, the UK, and the EU, and are contributing to multiple projects funded More ❯