14 of 14 Statistical Modelling Jobs in the East of England

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 ...

looking for an Asset Modelling Specialist to join our Strategic Asset Management & Insight team and play a key role in shaping Affinity Water’s long-term investment strategy. In this role, you’ll help develop and maintain our asset investment modelling capability, ensuring asset data, deterioration models … investment plans for PR29 and beyond. Working closely with Asset Health, Cost Intelligence, Investment Optimisation, IT, software vendors and wider stakeholders, you’ll provide modelling, analysis and insight to support investment planning, regulatory submissions and business decision-making. This is a great opportunity to influence investment decisions over ...

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 ...

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 ...

excellent opportunity for a mid-level Data Scientist who enjoys solving real-world business problems and wants the opportunity to work across machine learning, statistical analysis and data-driven decision-making. Key Responsibilities Develop and deploy machine learning and statistical models to solve business problems. Analyse large … stakeholders. You'll ideally have: Strong commercial experience as a Data Scientist. Excellent Python skills. Strong SQL experience. Solid understanding of machine learning and statistical modelling. Experience working with predictive modelling techniques. Strong analytical and problem-solving skills. Experience communicating technical findings to non-technical audiences. A degree ...

Services. Use Microsoft Fabric, Power BI and related tools to prepare, model, validate and analyse data, improving data quality, reporting reliability and insight. Apply statistical, predictive and machine learning techniques where appropriate to identify patterns, forecast trends, support segmentation, evaluate impact and generate practical recommendations. Train and mentor other … Finance, Governance, Data Protection, Change and Transformation, and other teams to deliver joined-up data products and insight. Define and promote Power BI, data modelling and governance standards, including documentation, validation, accessibility, metadata, lineage, security and appropriate use of sensitive data. Your experience: Must Haves: Experienced in data science ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

Circana (IRI) or similar intelligence platforms. Knowledge of analytical and visualisation tools including Snowflake, SQL, Python, R, SAP Analytics Cloud (SAC), Tableau. Understanding of statistical analysis, forecasting and modelling techniques, including regression and time-series analysis. FMCG experience, with exposure to commercial, category, revenue growth management ...

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 ...

MoneyView, Children and Young People Financial Wellbeing survey) and external datasets (e.g., Financial Lives, Wealth & Assets Survey, Understanding Society). Applying expert knowledge in statistical and data-modelling techniques to support strategic decisions and policy making. Collaborating effectively with both internal and external stakeholders. Work cross-functionally with … successful in this role, you’ll need: Strong knowledge of quantitative research methods and experience in interpreting and analysing survey data. Proficiency in statistical and data-modelling tools and techniques, such as survey sampling, weighting, imputation, regression analysis, and more. Excellent analytical and problem-solving skills. Ability ...

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 ...

Bring: -Degree in a technical or business subject - Strong knowledge of enterprise and projectrisk managementframeworks and standards - Highly numerate with experience of statistical and financial modelling (e.g. competence in quantitativerisk analysis, including Monte Carlo techniques) - Sound understanding of contingency setting and management aligned to risk exposure. - Experience translating ...