1 to 25 of 181 Analytical Modelling Jobs in England

available to join Duration: 06 months IR35: Inside Job description: Role Overview We are seeking an experienced Analytics Engineer to design and build scalable analytical data models that support business intelligence, reporting and commercial analytics. The role sits within a multidisciplinary data team responsible for delivering trusted analytical data products used across commercial and marketing teams. The ideal candidate will combine strong analytical thinking with advanced SQL engineering capability, and will have experience designing analytics-ready datasets used by BI tools or semantic layers. This is not a pipeline engineering role; we are looking for someone ...

senior specialist role focused on understanding the drivers of demand, outcomes, variation, inequalities and cost across our population. You will apply advanced analytical methods to complex system questions and translate findings into clear intelligence that supports senior decision making. The role will work closely with colleagues across analytics … focusing on advanced analysis, evidence generation and evaluation rather than routine reporting or dashboard development. Main duties of the job You 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 ...

statistical tools and techniques data to identify patterns, relationships and trends to inform further development. Collaborate with data architects and engineers to ensure analytical outputs align with enterprise architecture and platform standards. Support the evolution of data architectures by contributing analytical requirements and feedback. Communicate analytical findings … evaluate emerging data techniques relevant to training analytics. Ensure analytics processes comply with security, governance, and regulatory requirements. Author and maintain documentation to ensure analytical processes are repeatable, auditable, and scalable. Any other duties required to meet the needs of the programme. Who we are looking for: Youll have ...

credit portfolio, including revolving accounts, instalments and card products. This is a delivery-focused role requiring strong practical experience in credit pricing, SQL, Python, analytical modelling, forecasting and performance tracking. The role will use advanced analytics to optimise revenue, margin and customer value while maintaining effective risk controls … hands‐on role in credit pricing, using SQL and Python to conduct analysis, build models and deliver pricing improvements. Build and manage advanced analytical models for credit pricing, cashflow modelling, forecasting, customer valuation and portfolio performance. Define, calculate and monitor key valuation measures, including Net Present Value, Internal ...

using historical sales, demand and production data. Build forecasting models that translate product demand into component-level requirements using generalised Bills of Materials. Develop analytical tools to identify part commonality across product families and child BoM structures. Translate demand forecasts into inventory and supplier stocking requirements. Design and maintain … constraints. Build scenario models to evaluate different production, supply chain and inventory-planning options. Own and continuously improve production load and capacity models. Provide analytical support for supply-and-demand balancing activities. Procurement Automation Automate procurement KPI extraction and reporting processes. Develop repeatable reporting solutions that reduce manual effort ...

Pythia Sports is a fast-growing technology company, delivering innovative solutions to the gaming industry since 2014. Our business is all about predictive sports modelling, underpinned by extensive use of a wide and ever-expanding array of real-time feeds and inputs. If that sounds both complex and hard … growing team working closely with Pythia’s quant modellers to ensure they have access to reliable, well-structured and high-quality data for research, modelling and analysis. With particular emphasis on data quality, usability, investigation and continuous improvement, you will work side-by-side with quant, engineering and operational ...

support our Revenue Management team in making smarter pricing decisions and maximising commercial performance across the business. What you will be doing: Lead the analytical approach to complex, high-value commercial and revenue management challenges, applying advanced analytics and data science techniques to deliver impactful business outcomes. Identify, investigate … quantify opportunities to improve revenue and margin performance across Parkdean Resorts. Partner with the Head of Revenue Optimisation to prioritise analytical initiatives and ensure focus is directed towards the highest-value opportunities. Continuously enhance forecasting, pricing and optimisation methodologies to ensure our revenue management systems evolve alongside the business. ...

BettingJobs is seeking a Data Engineer to join a small but growing quant team in the sports betting industry. Working alongside the modelling team, you will be responsible for ensuring they have access to reliable, well-structured and high-quality data for research, modelling and analysis. From building … extracting maximum value from the data. Responsibilities: Work day-to-day with quant modellers to prepare, refine and maintain datasets used for research, modelling and analysis Investigate data issues affecting modelling outputs, identifying root causes and working with relevant teams to resolve them Build and maintain Python-based ...

Designing and supporting scalable data solutions across ingestion, transformation and presentation layers Strong SQL , including developing, optimising and troubleshooting queries for data transformation and analytical models Modern data engineering practices, including medallion architecture, pipeline design, version control, testing and performance optimisation Developing robust data models and semantic layers using ...

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 ...

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. ...

years in data engineering or software engineering with a strong data focus Experience building production‐grade pipelines on Azure Strong SQL and experience with analytical data models/data warehousing Proficiency in Python (Scala a bonus) Experience delivering enterprise‐grade data products used by multiple teams Ability to communicate ...

product, market, income, cost, contribution, willingness-to-pay, scenario, and sensitivity analyses, with the judgment to establish defensible ranges without implying false precision Advanced analytical, financial modeling, and tool proficiency, with the ability to gather, validate, and interpret product performance, pricing, margin, usage, retention, customer behavior, market, and competitive ...

infrastructure, pipelines, and deployments. Collaborative mindset and clear communication skills. Nice to have: Strong GCP experience, experience building incremental data ingestion pipelines, knowledge of analytical data modeling, familiarity with CI/CD, IaC, DataOps, data governance concepts, observability for data systems, and model monitoring concepts. Условия Annual salary reviews ...

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 ...

Python. Strong Snowflake experience, or equivalent depth in another modern cloud data platform. A proven track record designing ELT and ETL pipelines and analytical data models. Practical experience with dbt, orchestration frameworks, Git and CI/CD. A genuine commitment to data quality, testing and observability. Sound engineering judgement ...

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 ...

delivery. Establish measurable performance targets for analytics, tracking, classification and decision-support capabilities. Work closely with data scientists to translate machine learning and analytical models into production-ready features. Collaborate with software engineers, technical specialists and customers to refine requirements and validate delivered functionality. Monitor product performance using data ...

enterprise systems, and multi-domain integrations. Demonstrates advanced knowledge of strategic data policy and compliance frameworks. May work to designs cross-system, enterprise-level analytical models. Key Skills and Competencies Can synthesize complex data into themes, stories and recommendations. Advanced systems knowledge in assigned functional area. Working knowledge ...

Great Expectations and equivalent tooling Orchestration: Apache Airflow and cloud-native orchestration services Event streaming: Kafka and cloud-native event-streaming technologies Data modelling: Dimensional, analytical and domain-oriented modelling Data governance: Catalogue, metadata, lineage, quality, security, privacy and access controls Data products: Reusable, discoverable and well … designed and delivered modern data platforms that are scalable, reliable and cost-effective in enterprise environments. Making sound architectural decisions across ingestion, storage, processing, modelling, orchestration and serving. Applying strong software engineering practices to data platforms, including testing, CI/CD and infrastructure-as-code. Establishing effective approaches ...

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 ...

customer for analytics capability development, working closely with the Data Engineer and Manufacturing Systems Integration Engineer to define data structures, traceability requirements, dashboards and analytical workflows. The successful candidate will help shape the evolution of Insights Hub from foundational time-series data visualisation and reporting through to advanced statistical … analysis, modelling, machine learning and predictive analytics capabilities. The analytics capability is expected to evolve in stages, beginning with establishing access to manufacturing and test data through time-series visualisation and traceability, before advancing into variable-to-variable correlations, process characterisation, feature engineering, statistical modelling, predictive analytics ...

debugging, performance tuning, and maintainable code design.• Hands-on experience with Snowflake or another modern cloud data platform, plus practical knowledge of dimensional and analytical data modeling.• Production experience with dbt or a comparable transformation framework and with Airflow, Dagster, Prefect, or similar orchestration tooling.• Experience with AWS data ...

About The Role Role Overview The Pricing Analytics Manager is responsible for developing the data, analytical capabilities, and decision-support tools that underpin the organisation’s pricing strategy. The role manages pricing-related data sources, builds analytical models, and provides insights that enable the business to optimise pricing … Channel Pricing, and Network Pricing teams, the Pricing Analytics Manager ensures that pricing strategies are supported by robust data analysis, actionable insights, and scalable analytical tools. The role also plays a key part in developing pricing optimisation capabilities, leveraging latest analytical techniques and technologies to improve price realisation ...

Data Science role, delivering data‐driven solutions and insights to support business decision‐making. Insurance industry experience is highly advantageous but not essential. Analytical & Technical Expertise – Strong analytical capability with proven experience in statistical modelling skills and data interpretation. Technical Skills – Proficiency in Python for data analysis … modelling and machine learning. Machine Learning – Experience building and evaluating machine learning models. Education – Degree in Mathematics, Statistics, Data Science, or another quantitative field. Communication – Strong verbal and written communication skills. Organisation & Time Management – Excellent organisational and time‐management skills. Experience & Knowledge Proven experience in data science and data ...