1 to 25 of 126 Permanent Analytical Modelling Jobs in England

shaping the future of automotive manufacturing through machine learning, advanced analytics and data-driven decision making. You will be responsible for identifying opportunities, developing analytical solutions and delivering measurable business outcomes across the full project lifecycle. This role offers the unique opportunity to combine technical data science expertise with … real-world manufacturing problem solving. You will apply machine learning, statistical modelling and advanced analytics techniques to unlock insights from connected manufacturing data while working alongside a collaborative team of engineers, manufacturing specialists and business stakeholders. PTME is looking for an individual who can help expand ...

Senior Operations Performance Analyst We are recruiting a Senior Analyst with exemplary data modelling and analytical capabilities; coupled with the ability to present and communicate performance trends, root causes of performance variances against KPI’s and build detailed and robust data models to highlight improvement initiatives and performance … multiple departments supporting with all aspects of reporting deliverables - ensuring data integrity and quality are at the highest standards possible. Key Skills & Experience Advanced Analytical Modelling abilities (advanced Excel & PowerBI user, with solid SQL skills). Appreciation of building machine learning models using techniques such as forecasting, time ...

business benefits. Combining strong technical expertise with commercial awareness, you’ll transform complex datasets into clear, actionable insights using SQL, data visualisation, and advanced analytical techniques. You’ll build relationships across the organisation, influence stakeholders and help embed a culture where data is at the heart … make decisions. This is an exciting opportunity to use your analytical expertise to influence business strategy, drive continuous improvement and contribute to our wider ambitions around People, Profit and Planet. What you’ll be doing Delivering commercial insight: Partnering with teams across the business to understand challenges, identify opportunities ...

emerging technologies involving advanced conductors, innovative machine concepts and novel 3D machine topologies. These programmes provide significant opportunities for innovation in electromagnetics, machine topology, analytical modelling and multidisciplinary design.We are particularly interested in candidates with strong foundations in:* Electrical machine design and electromagnetic fundamentals;* Analytical electromagnetic modelling ...

Analytics team at Burford Capital is seeking an Associate Product Owner to lead the ongoing development and operation of workstreams within Burford’s investment modelling platform. Acting as a link between the Strategy and Quantitative Analytics team, the Technology Team, and the platform’s users, the Associate Product Owner … closely with developers and business analysts, the Associate Product Owner will be responsible for delivering some of the most crucial pieces of Burford’s modelling infrastructure. Owning the requirements and analytical direction for multiple workstreams for the development and refinement of Burford’s proprietary investment modelling platform. ...

management and communication. Solution Development (40%) Design and develop predictive, machine learning, and Generative AI solutions. Build prototypes, proof-of-concepts, and production-ready analytical models. Perform data exploration, feature engineering, model development, and validation. Collaborate with data engineers and architects to operationalise solutions. Ensure solutions follow Responsible ...

modern AI technologies, including Generative AI applications. Core Responsibilities Develop end-to-end data science solutions, from data preparation to model deployment. Build analytical models and contribute to AI applications, including LLM-based tools. Work with Azure Machine Learning and Azure OpenAI to deliver client solutions. Collaborate with data ...

based data engineering services and orchestration tools (e.g., Azure Data Factory, Microsoft Fabric).· Practical experience building ETL/ELT pipelines and dimensional or analytical data models.· Familiarity with CI/CD practices in data engineering, including version control (Git) and automated testing.· Active use of AI productivity tools … habits and a willingness to communicate technical concepts clearly.· Proactive and timely communication on progress, blockers, and dependencies with stakeholders and team members.· Strong analytical and problem-solving mindset.· Proactive, detail-oriented, and comfortable working in an agile, fast-paced environment.· Proficiency in English, both spoken and written.Preferred Qualifications ...

will bring a strong data engineering background, working hands-on where needed, and act as a technical authority defining best practice across data ingestion, modelling, integration, and governance. Experience working with Salesforce data is desirable, helping to ensure seamless integration between core operational systems and the analytical platform. … data architecture, aligned to Cooper Parry's strategy and enterprise standards Defining architectural patterns, principles, and standards for: Data ingestion Data transformation Data modelling Analytics and reporting Acting as a trusted advisor to senior stakeholders on data architecture decisions Microsoft Fabric Platform Leadership Designing and oversee solutions using Microsoft ...

design and maintenance ofAI-impacted engineering productivity metricsthat quantify the value of generative AI tool adoption across development teams. Build and maintain analytical models that track developer velocity, code quality improvements, cycle time reduction, and other KPIs tied to AI-augmented workflows. Create clear, visually compellingdashboards, reports, and data ...

efficiency, improved data quality, and consistent data practices across regions and functions.* Partner with architecture and technology leaders to define future‐state operational and analytical data models, ensuring alignment with broader transformation strategies and strategic priorities.As Head of Enterprise Data Transformation, you’ll lead the enterprise-wide transformation needed ...

with at least 2 years of work experience Strong technical skills to include a deep understanding of (but not limited to): Reporting and Analytical Analysis, Predictive Modeling, and Solution Architect Excellent understanding of machine learning techniques and algorithms, such as Tree Based Models, Neural Networks, etc. Experience with common ...

automate manual activities, and embed AI-powered development practices that increase delivery speed, improve quality and allow teams to focus on higher-value analytical work. This is an opportunity to drive a genuine transformation in how Business Intelligence is delivered, creating a modern, AI-enabled BI function that sets … mentorship to BI developers and analysts, promoting high standards of quality, performance, usability and governance. The role drives innovation, consistency and reuse across analytical products, semantic models and KPI frameworks, fostering a scalable, trusted and high-performing analytics ecosystem while championing modern BI, AI-assisted development and data-driven ...

part of an application or integration flow. Handle schema changes, late-arriving data, retries, reconciliation and error handling as normal engineering concerns. Data quality, modelling and reporting Build validation and reconciliation into pipelines so problems are identified early and traced back to source. Investigate data-quality issues and work … semantic models. Understand the effect that model, query and refresh design has on report performance, SQL workload and gateway load. Design dimensional or analytical models where appropriate, with clear grain, keys and business definitions. Document important data definitions, lineage, ownership and transformation logic. Use Git, peer review ...

hear from you! What is the purpose of this job? The Data Analysis & Insights team is responsible for delivering trusted insight, performance reporting and analytical products that support Rail Delivery Group and the wider rail industry. As Senior Data Analyst, you will play a leading role in delivering high … wider industry, you will turn complex data into actionable insight that helps shape decisions, improve performance and deliver measurable business value. Alongside hands-on analytical delivery, you will help drive the evolution of RDG's Business Intelligence capability, partnering with the Principal Analytics Lead to shape the roadmap, governance ...

services in the UK and EU market. Job Description We are seeking a highly skilled SAP Datasphere Testing Consultant with strong expertise in data modelling, HR domain processes, and SuccessFactors integration. The ideal candidate will possess hands-on experience in validating SAP Datasphere components, ensuring data accuracy, governance … systems and analytics platforms. Key ResponsibilitiesSAP Datasphere Testing Perform end-to-end testing of SAP Datasphere components including: Spaces, Connections, Data Flows, Views, and Analytical Models. Semantic modelling, business layer definitions, and metadata structures. Validate data pipelines, transformations, lineage, and modelling consistency across environments. Ensure alignment ...

receiving huge amounts of data and working out how customers are going to behave. You enjoy problem solving, and will be building modelling solutions, including gravity modelling, regression and machine learning. You have an in-depth understanding, and can weigh the pros and cons of various modelling … methodologies, including interpretability and practical application for our clients, who span across a wide range of sectors. You can own and be accountable for analytical and modelling decisions, seeing QA as a key cornerstone of any output. You want to be original – you don’t want ...

receiving huge amounts of data and working out how customers are going to behave. You enjoy problem solving, and will be building modelling solutions, including gravity modelling, regression and machine learning. You have an in-depth understanding, and can weigh the pros and cons of various modelling … methodologies, including interpretability and practical application for our clients, who span across a wide range of sectors. You can own and be accountable for analytical and modelling decisions, seeing QA as a key cornerstone of any output. You want to be original – you don’t want ...

operational efficiency, improved data quality, and consistent data practices across regions and functions.Partner with architecture and technology leaders to define future‐state operational and analytical data models, ensuring alignment with broader transformation strategies and strategic priorities.As Head of Enterprise Data Transformation, you’ll lead the enterprise-wide transformation needed ...

Data Programme to build the foundational data capabilities required for those products: trusted, reusable data assets, reliable pipelines, data quality, lakehouse models and analytical products. These capabilities will support R&D products, AI applications, client intelligence and firm-wide decision support. This is a hands-on hybrid data-engineering … data assets remain trusted over time. Conduct exploratory data analysis to surface patterns, gaps, anomalies and data-quality issues, and identify opportunities for analysis, modelling or product use. Develop, compare and validate appropriate statistical and machine-learning models for classification, ranking, recommendation, forecasting, anomaly detection, similarity or extraction problems. ...

organisation aims to put technology at the heart of the business. The Role The Analytics Engineer designs and maintains trusted, reusable and well-governed analytical assets that provide high-quality information for reporting, analysis and decision-making. You’ll collaborate with business stakeholders and technical colleagues to translate business … community with access to leading technologies and exciting opportunities for development within Hiscox. Key Responsibilities of an Analytics Engineer Design, build and maintain reusable analytical data models and curated datasets, using dimensional and other appropriate modelling techniques. Design and build data pipelines, reports and dashboards that deliver reliable ...

XGBoost or LightGBM, evaluated rigorously: validation design, calibration, leakage. Decision science: applied work with at least one of contextual bandits, causal inference or uplift modelling, and the depth to apply it independently. Tools: strong Python and SQL, Git and code review. Nice to have Production experience with bandits … policy evaluation or uplift modelling (for example Vowpal Wabbit, Open Bandit Pipeline, EconML or DoWhy). Time-series forecasting for budgets, pacing or demand. Snowflake and dbt, AWS SageMaker. Lead generation or ad tech. How you’ll work Commercial impact. You understand how the business creates value ...

disparate datasets generated across early-to-late phase drug development Formulate, implement, test, and validate predictive models and build efficient, automated processes for delivering modelling results at scale Apply modern machine learning capabilities - including AI/ML, deep learning, NLP, causal ML, and explainable AI - across multiple data modalities … clinical development contexts Apply statistically rigorous approaches to clinical trial data, including survival analysis, longitudinal/mixed-effects modelling, and appropriate handling of missing data and censoring Contribute to the scientific and statistical strategy of drug development programs, including the development of predictive biomarkers, novel trial designs, and precision ...

Senior Analytics Engineer to join our Bristol-based engineering team. You’ll collaborate with Data Engineers, Analysts and Software Engineers to build and refine analytical data models in our data warehouse and deliver valuable insights to customers. You’ll apply strong SQL skills, dbt, and BI tooling like Power ...

role. What You'll Do Formulate hypotheses related to how Spotify plans and delivers, and communicate insights effectively to a range of audiences. Apply analytical techniques — including statistical models and machine learning — to identify trends and generate insights that improve how we work. Build and maintain the data models ...