1 to 25 of 55 Remote/Hybrid Analytical Modelling Jobs in the UK

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 ...

General Data Protection Regulation (GDPR), and Sarbanes‐Oxley (SOX). Experience partnering with data analytics, data science, or process science teams to turn analytical models into shared, reusable products. Track record of contributing reusable engineering patterns back to a broader team. Education Bachelor’s degree in Computer Science, Software ...

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 ...

General Data Protection Regulation (GDPR), and Sarbanes‐Oxley (SOX). Experience partnering with data analytics, data science, or process science teams to turn analytical models into shared, reusable products. Track record of contributing reusable engineering patterns back to a broader team. Education Bachelor’s degree in Computer Science, Software ...

fitness models for pharmaceutical drug substance or drug product processes. Experience partnering with data analytics, data science, or process science teams to turn analytical models into shared, reusable products. Experience in regulated industries (pharma, healthcare, financial services) and familiarity with good practice regulations (GxP), General Data Protection Regulation (GDPR ...

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 ...

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 ...

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 ...

activities by combining telemetry, operational, and business data sources. Contribute to continuous improvement initiatives by identifying automation opportunities and reducing manual reporting processes. Document analytical solutions, data models, and reporting standards to support long-term maintainability. Mentor junior engineers and analysts while promoting best practices in data engineering … data processing, automation, and analytics. Strong SQL development and database querying experience. Experience working with source control and collaborative development practices using GitHub. Strong analytical and problem-solving skills with the ability to interpret complex datasets. Excellent communication skills and ability to present technical findings to both technical ...

activities by combining telemetry, operational, and business data sources. Contribute to continuous improvement initiatives by identifying automation opportunities and reducing manual reporting processes. Document analytical solutions, data models, and reporting standards to support long-term maintainability. Mentor junior engineers and analysts while promoting best practices in data engineering … data processing, automation, and analytics. Strong SQL development and database querying experience. Experience working with source control and collaborative development practices using GitHub. Strong analytical and problem-solving skills with the ability to interpret complex datasets. Excellent communication skills and ability to present technical findings to both technical ...

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 ...

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 ...

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 ...

Developer within the Planning, Reporting & Business Intelligence department. The main purpose of the role is to design, develop and maintain reporting, business intelligence and analytical solutions that support operational performance, client requirements and business decision-making. The role combines technical reporting expertise with data analysis, stakeholder engagement and continuous … based from Liverpool, Crawley, Reading or London offices, with occasional travel as required. Core Duties/Responsibilities Develop and maintain reports, dashboards and analytical solutions using Power BI, Microsoft Fabric, SQL, Excel and related technologies. Create clear, engaging and insightful reporting outputs for operational, management and client stakeholders. Support ...

partnering with an established organisation in London to hire an Analytics Engineer. The role blends hands-on data work with reporting, dashboards and analytical models to support key business decisions. You will use SQL, Excel and Power BI to extract and present insights, automate reporting, and improve data quality ...

focused role, including time operating at a senior or lead level, with strong SQL skills and a solid track record of building well-structured analytical models Experience with cloud data warehousing (Snowflake, BigQuery, or equivalent), a strong grasp of data governance and platform security, and the ability to lead ...

house pricing experience at a B2B SaaS company is a strong fit. Experience with AI pricing and monetization engagements is a strong plus. Sharp analytical and financial modeling skills, with the ability to translate complex pricing logic into clear, actionable recommendations. Strong executive communication skills – comfortable presenting recommendations ...

Summer Placement, you will: Contribute directly to the development and delivery of Laser/Optical design, including lens design and optical ray tracing. Performance modelling, including tolerancing and finite element modelling problem solving technical issues across the product lifecycle. Hands on lab and integration work with solid‐state … disciplines will be considered. Relevant photonics experience, such as laboratory work, previous summer placements or internships. Experience with technical writing and project planning. Strong analytical, modelling skills and laboratory skills. Evidence of successfully working in a team. Enthusiasm for photonics and an interest in developing your skills. Experience ...

Summer Placement, you will: Contribute directly to the development and delivery of Laser/Optical design, including lens design and optical ray tracing. Performance modelling, including tolerancing and finite element modelling problem solving technical issues across the product lifecycle. Hands on lab and integration work with solid-state … disciplines will be considered. Relevant photonics experience, such as laboratory work, previous summer placements or internships. Experience with technical writing and project planning. Strong analytical, modelling skills and laboratory skills. Evidence of successfully working in a team. Enthusiasm for photonics and an interest in developing your skills. Experience ...

looking for a customer‐focused, AI‐forward Engineering Manager – Data & Analytics Engineering to lead and evolve the team responsible for building Depop’s trusted analytical data foundations. In this role, you’ll help shape the future of data and analytics engineering at Depop, building high‐quality, reusable data assets … technical roadmap for data and analytics engineering, balancing business priorities with long‐term scalability, maintainability, and technical excellence. Lead the development of trusted, reusable analytical data models, scalable data pipelines, and semantic layers to power analytics, machine learning, and AI‐driven decision‐making. Establish strong engineering practices across data ...

London and Winchester Job ID 325730 Location - London or Winchester Hybrid working - as per departmental requirements In 2020, LCP launched its Health practice, providing analytical and research services across healthcare and life sciences. Our team brings together clinicians, statisticians, epidemiologists, health economists and health data scientists, alongside … capability. You will play an important part in strengthening LCP Health's capabilities in delivering analytics projects where there is a requirement to construct analytical databases from clients' raw and unstructured data. Additionally, you will support the data engineering function by maintaining and enhancing data infrastructure and processes. This ...

London and Winchester Job ID 325730 Location - London or Winchester Hybrid working - as per departmental requirements In 2020, LCP launched its Health practice, providing analytical and research services across healthcare and life sciences. Our team brings together clinicians, statisticians, epidemiologists, health economists and health data scientists, alongside … capability. You will play an important part in strengthening LCP Health's capabilities in delivering analytics projects where there is a requirement to construct analytical databases from clients' raw and unstructured data. Additionally, you will support the data engineering function by maintaining and enhancing data infrastructure and processes. This ...