14 of 14 Statistical Modelling Jobs in the East of England

will lead complex analytical and evaluative projects, applying methods such as regression, forecasting, segmentation, risk stratification, causal inference, impact evaluation, cost-effectiveness analysis and statistical modelling where appropriate. You will be experienced in working with complex health, care, finance, quality and population datasets, and able to turn analysis … evaluative work to support strategic commissioning, population health intelligence, prevention, health inequalities, transformation and resource allocation across the ICB. The postholder will apply advanced statistical, economic and population health methods to complex system questions, helping the ICB understand drivers of demand, outcomes, variation, inequality and cost. The role will ...

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 Lead 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 ...

statistics, data science, econometrics, quantitative economics, operations research, mathematics, or related field 2+ years of experience in commercial analytics, algorithm development, or applied statistical/machine learning modelling Proficiency in SQL and Python Strong understanding of commercial/pricing problems and business fundamentals Advanced data skills: statistical modelling, machine learning, time-series forecasting, demand prediction, optimisation, inventory management Experience with dynamic pricing, stochastic processes, or Bayesian inference is a plus Preferred Experience Background in pricing, forecasting or optimisation roles within airlines, hospitality, car rentals, e-commerce, or similar dynamic pricing industries Familiarity with data engineering ...

delivering data integration projects using Al and or Machine Learning Tools e.g. Databricks, Watson, Microsoft Cognitive Toolkit, TensorFlow. Demonstrable experience of using mathematical and statistical models to solve business problems. Demonstrable experience of applying data science, analytics and data integration tools/programming languages on real-world datasets e.g. ...

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 ...

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 ...

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 ...

collaboration skills, including the ability to work effectively across research disciplines and organizational boundaries. PreferredStrong hands-on ML engineering and coding skills. Expertise in statistical analysis and mathematical modelling. Experience translating research into products, systems, or business impact. Experience leading multidisciplinary teams. Experience building partnerships across academia, industry ...

needs and goals of the Debt Team and wider organisation Acquiring relevant data from within MaPS, from suppliers and from other external stakeholders Cleaning, modelling, transforming and analysing data – understanding what it’s telling us and seeking to understand why Reviewing data collection processes and assessing the quality … part of your role Adhering to company policies and legal requirements in relation to data collection and security Analysing data through a variety of statistical methods and models, and identifying challenges and opportunities Presenting high quality, insight and analysis using engaging visuals – telling the story of the data ...

technical solutions built, tested and deployed to enable desired project outcomes. Problem Solving - MARCOM is leveraging complex algorithms, data science workflows and data modelling and AI to solve business problems and deepen situational awareness. Data Engineering Maturity - MARCOM has developed and adopted critical data engineering methods which standard … delivering data integration using AI and or Machine Learning Tools e.g. Databricks, Watson, Microsoft Cognitive Toolkit, TensorFlow. Demonstrable experience of designing mathematical and statistical models to resolve business challenges. Demonstrable experience applying data science, analytics and data integration tools/programming languages on real-world datasets e.g. Python ...

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 investors in Silicon Valley, the UK, and the EU, and are contributing ...