1 to 25 of 238 Analytical Modelling Jobs in England

design with storytelling to deliver impactful Gen AI/BI, WebApp and data product interfaces, leveraging UI/UX design and UAT processes. Enabling data-driven insights: Conduct data modelling best practices through schema design, semantic modelling and statistical analysis, while understanding sector-specific datasets and business processes to deliver actionable insights. Leading scalable delivery: Operate as a … stakeholder management to address business challenges Experience working across various stages of End-to-End Analytics/AI Transformation or Large-scale Deployments/Technology Implementation Programmes Technical and Analytical Skills: Strong analytical skills, including data modelling, statistical analysis, machine learning, and advanced analytics with solid experience delivering best practice data models within an organisation Familiarity with … Experience in ingestion, integration, data engineering, data quality and observability, dataset identification Experience in high-level architecture, solution design or platform licensing Experience in business case development and financial modelling WHAT YOU’LL LOVE ABOUT WORKING HERE? You will join a vibrant, connected and supportive community of analytics product specialists, driven by a shared commitment to tackling complex data More ❯

the design and implementation of the data architecture for our cutting-edge Azure Databricks platform focused on economic data. This platform is crucial for our Monetary Analysis, Forecasting, and Modelling efforts. The Data Architect will be responsible for defining the overall data strategy, data models, data governance framework, and data integration patterns. This role requires a deep understanding of … themes. Define the target data architecture and roadmap, considering scalability, performance, security, and cost-effectiveness. Stay abreast of industry trends and emerging technologies in data management and analytics. Data Modelling & Design: Design and implement logical and physical data models that support the analytical and modelling requirements of the platform. Define data dictionaries, data lineage, and metadata management … e.g., APIs, databases, financial data providers). Work closely with data engineers to implement and optimise data pipelines within the Azure Databricks environment. Ensure data is readily available for modelling runtimes (Python, R, MATLAB). Data Governance & Quality: Establish and enforce data governance policies, standards, and procedures. Define data quality metrics and implement data quality monitoring processes. Ensure compliance More ❯

uphold trust through integrity. Responsibilities Leverage data analytics and programming expertise to support the development of cyber catastrophe models. This role focuses on extracting insights from complex datasets, building analytical tools, and translating data into actionable intelligence to support model development and risk quantification. Key Responsibilities Data Analysis & Insight Generation - Analyze large and complex datasets to uncover trends, patterns … and maintain Python or Julia-based tools and scripts for data processing, visualization, and statistical analysis. - Automate data workflows and contribute to the continuous improvement of the team's analytical capabilities. - Support the integration of analytical outputs into model development pipelines. Collaboration & Communication - Work closely with cyber risk modelers to understand research objectives and provide data-driven insights. … in code reviews and maintain technical documentation. Continuous Learning - Stay current with advancements in data science, cybersecurity, and risk analytics. - Proactively explore new tools, libraries, and methodologies to enhance analytical effectiveness. Skills and Competencies Technical Skills Required: - Proficiency in programming with Python or Julia, with experience in developing tools for data analysis, visualization, and statistical modeling. - Strong SQL skills More ❯

will be responsible for driving data-driven decisions within Chaucer by providing actionable insights and analysis. Your primary focus will be on improving the business intelligence infrastructure, developing advanced analytical models, and identifying key trends and opportunities to support strategic decision-making. You will collaborate with business users and cross-functional teams to gather and analyse data, create visualizations … business decisions Conduct in-depth data analysis to identify trends, patterns, and insights that provide valuable information to stakeholders Develop data models to support decision making Develop and implement analytical models and statistical techniques to uncover hidden patterns and predict future outcomes Interpret and communicate data findings to non-technical stakeholders, translating data into actionable insights Monitor and analyse … support functions Organisational and change management skills and attention to detail, with a demonstrated ability to prioritise workload, and work independently, managing a high-volume of tasks and deadlines Analytical, problem-solving and critical-thinking abilities, with a keen attention to detail Problem-solving abilities; enjoy taking on difficult challenges and finding creative solutions Relevant experience in a role More ❯

bring: Degree in STEM subject or equivalent qualification in relevant field such as Business, Finance, Statistics. Extensive experience working in analytics, with a focus on benchmarking, business intelligence and analytical modelling. Competent in using analytical tools such as Excel, SQL, Python and in particular, Power BI and Databricks. Strong background in advanced analytics and performance management with outstanding … analytical skills. Experienced in effectively conveying complex information to diverse audiences. Ability to work collaboratively with various stakeholders to build consensus and achieve common goals. Proven track record of improving operational processes and outcomes, especially in a claims environment. Skilled in working at speed, under pressure in an agile environment, with a high aptitude for problem solving and root More ❯

technical concepts and solutions to both technical and non-technical audiences, tailoring communication style based on the audience. Data Modeling and Warehousing: •Design and implement data models optimized for analytical workloads, using dimensional modeling techniques (e.g., star schema, snowflake schema). •Participate in the design, implementation, and maintenance of data warehouses ensuring data integrity, performance, and scalability. BASIC QUALIFICATIONS … verbal and written communication skills, with the ability to effectively communicate technical concepts; experience gathering requirements, creating technical documentation, and collaborating with cross-functional teams. •Problem-Solving Acumen: Strong analytical and problem-solving skills, with the ability to troubleshoot complex technical issues, identify root causes, and develop effective solutions. •Project Management Skills: Proven ability to manage projects, prioritize tasks More ❯

join a team of experienced and supportive colleagues. This role will be based in our London office. Your new role In this role, you will apply data science and modelling techniques to solve real-world business challenges and support data-driven decision-making. Partnering with the Global Head of Performance and Senior Analyst Manager, you'll be responsible for … Work closely with the Global Head of Performance and Senior Analyst Manager to identify opportunities, plan project delivery and deliver key outcomes that drive decision-making Develop and implement analytical models that support pricing, identify fraud, improve retention and renewals, and drive profitable growth Collaborate with analyst team to build, monitor, and refresh predictive models as needed Design and … all kinds of backgrounds. You work well with others, think creatively, and enjoy helping bring new ideas to life. Skills you'll need: Expert in Python for data analysis, modelling, and building solutions Familiarity with working in a Linux environment Strong understanding of machine learning and data science Good experience in MS SQL Server Management Studio, MS Office, Power More ❯

derived from complex data analyses. This position is going to be working closely with the 2 co-founders of the business in validating service development hypotheses and building complex analytical models to prove or disprove the hypotheses. Working Hours: Fully remote and full-time role. Flexible working hours with a minimum overlap with 8 AM – noon Central US time. … interpret data and present insights effectively. Proven experience as a Data Scientist, Data Analyst, or in a similar role, preferably within an e-commerce or a related industry. Excellent analytical and problem-solving abilities. Strong communication and interpersonal skills are crucial for explaining complex data insights to non-technical stakeholders and for collaborating effectively across different teams within the … organization. As the Ideal Candidate, you should have: Analytical Mindset, Curiosity, and Inquisitiveness. Problem-Solving Skills. Attention to Detail. Adaptability and Communication Skills. Patience and Persistence. Experience with advanced machine learning techniques such as deep learning, natural language processing (NLP), or reinforcement learning. Experience in using advanced features of cloud platforms (AWS, Azure, Google Cloud) such as machine learning More ❯

actionable manner. Key Responsibilities Collaborate with stakeholders to understand their data and insight needs, and drive data-driven decision making. Work with the Analytics team to scope and deliver analytical projects. Analyze multiple data sources to identify trends and insights. Create visualizations and tell compelling stories with data. Relate data findings to business objectives and identify the big picture. … and policy updates. Manage customer experience measurement programs to understand the student experience. Perform advanced analytics to understand the purpose-built student accommodation market. Contribute to the development of analytical models to support decision-making. Communicate effectively with technical and non-technical audiences. Participate in multi-disciplinary teams to deliver projects. Share insights and knowledge proactively across the organization. More ❯

relevant marketing team members to make more informed data-guided decisions Monitor, report and diagnose trends in KPIs, automating wherever possible, and proactively finding risks and opportunities Development of analytical tools and models to improve our analytical capabilities What We Look For Strong SQL skills, whilst Python is desirable. Experience in using analytical and data BI tooling More ❯

closely with commercial teams, data engineering, and data science to deliver actionable insights across customer behaviour, marketing performance, and strategic growth opportunities. The Role This is a hands-on analytical role combining customer analytics, data science, and strategic insight. You’ll take ownership across a blend of traditional customer analytics and more advanced statistical modelling projects, supporting fast … high-impact projects. Present clear, actionable insight to both technical and non-technical stakeholders across the business. Skills & Experience Essential: Strong experience in customer analytics, data science, or advanced analytical modelling. Hands-on experience using Python for statistical analysis and modelling. Advanced SQL skills for data extraction and manipulation. Experience applying statistical methods such as linear regression, KMM, forecasting … Economics or related quantitative field. Desirable: Experience working with SageMaker or similar cloud-based ML platforms. Prior experience in subscription or membership-based consumer businesses. Exposure to marketing mix modelling or marketing analytics. Interview Process 1st Stage: Introductory screen (background, motivation & fit). 2nd Stage: Take-home technical task. 3rd Stage: Technical interview. Final Stage: Panel presentation & stakeholder Q More ❯

closely with commercial teams, data engineering, and data science to deliver actionable insights across customer behaviour, marketing performance, and strategic growth opportunities. The Role This is a hands-on analytical role combining customer analytics, data science, and strategic insight. You’ll take ownership across a blend of traditional customer analytics and more advanced statistical modelling projects, supporting fast … high-impact projects. Present clear, actionable insight to both technical and non-technical stakeholders across the business. Skills & Experience Essential: Strong experience in customer analytics, data science, or advanced analytical modelling. Hands-on experience using Python for statistical analysis and modelling. Advanced SQL skills for data extraction and manipulation. Experience applying statistical methods such as linear regression, KMM, forecasting … Economics or related quantitative field. Desirable: Experience working with SageMaker or similar cloud-based ML platforms. Prior experience in subscription or membership-based consumer businesses. Exposure to marketing mix modelling or marketing analytics. Interview Process 1st Stage: Introductory screen (background, motivation & fit). 2nd Stage: Take-home technical task. 3rd Stage: Technical interview. Final Stage: Panel presentation & stakeholder Q More ❯

You'll be at the forefront of creating next-generation data tools that provide intuitive insights for the Air, Line-haul and Sortation teams in Europe. By leveraging advanced analytical skills, you'll help translate complex business challenges into meaningful, actionable intelligence that supports strategic innovation and operational excellence. Key job responsibilities Key responsibilities - Analyze complex business requirements and … specifications - Design and implement scalable Business Intelligence solutions and custom software development products - Develop comprehensive test cases and guide stakeholders through testing processes - Create and deliver compelling presentations of analytical solutions to business stakeholders - Maintain and troubleshoot deployed solutions with a focus on system reliability and performance A day in the life Your day will be a blend of … collaborative problem-solving and independent technical development. You'll engage with cross-functional teams, design sophisticated reporting frameworks, and develop analytical models that provide critical operational insights. Expect to dive deep into data challenges, prototype innovative solutions, and communicate complex technical concepts with clarity and impact. About the team We are a collaborative group of data enthusiasts committed to More ❯

and optimisation of our businesses performance in a safe and efficient manner. You will need strong coding experience in Python or R and SQL with an appreciation of advanced analytical techniques: Statistics, Machine Learning, Deep Learning and a demonstrable ability to evaluate and select the right approach for the nature of problems to be solved. In return we offer … with strong investment and development in your career goals. Accountabilities & Responsibilities Work with strategy and operations teams to identify requirements and understand where analytic insight can add value Develop analytical models and visualisations to support strategic and operational decision making Design, build, test and maintain analytical data management systems, making sure they meet business requirements and user needs More ❯

The Insight Analyst sits within the Data & Insight team and will be supporting business decisions and future strategy across the business, using advanced analytical techniques, external & internal data sources and sector insight. This role supports the senior leadership in the assessment of the changing external business environment and the identification of opportunities and threats. You`ll work closely with … experience Perform advanced analytics to help the business better understand the purpose-built student accommodation market and our place within it Be part of the development of high-quality analytical models to inform business decisions Communicate effectively with both technical and non-technical stakeholders Work as part of multi-capability teams to deliver wider projects Actively sharing insight, knowledge … communication Experience of gathering stakeholder requirements and presenting technical findings to non-technical audiences. Experience and evidence of adding business value through analysing data and insight Ability to convey analytical findings through effective data visualisation. Able to prioritise work, meet deadlines and ensure data is presented accurately and clearly. Comfortable working as part of a multi-capability team for More ❯

Key Accountabilities Build strong relationships with stakeholders to shape data requirements and deliver insight that supports business direction and decision-making. Lead the development of intuitive dashboards, reports, and analytical models to provide actionable insight, using iterative engagement with business teams. Evaluate and recommend the most effective and cost-efficient approach to reporting and analytics delivery, including internal resources More ❯

Key Accountabilities Build strong relationships with stakeholders to shape data requirements and deliver insight that supports business direction and decision-making. Lead the development of intuitive dashboards, reports, and analytical models to provide actionable insight, using iterative engagement with business teams. Evaluate and recommend the most effective and cost-efficient approach to reporting and analytics delivery, including internal resources More ❯

closely with commercial teams, data engineering, and data science to deliver actionable insights across customer behaviour, marketing performance, and strategic growth opportunities. The Role This is a hands-on analytical role combining customer analytics, data science, and strategic insight. You’ll take ownership across a blend of traditional customer analytics and more advanced statistical modelling projects, supporting fast … on high-impact projects. Present clear, actionable insight to both technical and non-technical stakeholders across the business. Skills & Experience Strong experience in customer analytics, data science, or advanced analytical modelling. Hands-on experience using Python for statistical analysis and modelling. Advanced SQL skills for data extraction and manipulation. Experience applying statistical methods such as linear regression, KMM, forecasting … Statistics, Economics or related quantitative field. Experience working with SageMaker or similar cloud-based ML platforms. Prior experience in subscription or membership-based consumer businesses. Exposure to marketing mix modelling or marketing analytics. Interview Process 1st Stage: Introductory screen (background, motivation & fit). 2nd Stage: Take-home technical task. 3rd Stage: Technical interview. Final Stage: Panel presentation & stakeholder Q More ❯

domains. This has included applying soft methods and stakeholder engagement skills to structure problems, conducting historical trends and data analysis to identify trends and support concept development, and simulation modelling and Multi-Criteria Decision Analysis (MCDA) to evaluate options. Much of this analysis has been used to support capability acquisitions including requirements trade-off analysis, operational effectiveness/Analysis … candidate. Essential requirements for Operational Analysis Consultant: Operational Analysis to support business decision making, policy development, and/or research, including both ‘soft’ and ‘hard’ techniques (problem structuring and modelling). Development and use of analytical methods and models. Building customer and stakeholder relationships. Supporting and leading authoring of technical reports and presenting to customers. Experience working with … experience. Be a member of an appropriate professional body (e.g., Operational Research Society) and have a desire for further professional development. Keywords: Operational Analysis, Operation Analyst, Defence, MOD, Wargaming, Modelling, Benefit Analysis, Simulation, Historical analysis, VBA, Python, SQL, Power BI, R, Cost Effective Analysis, CEA, Costs Benefits Analysis, CBA, SC Cleared, DV Cleared, Excel, Microsoft Office, Qualitative Analysis, Quantitative More ❯

seamlessly and effectively integrated into the organizations systems and processes. The team has a variety of skills and experience in technical domains such as Software development, Automation, Data-pipeline-modelling, IT project management, Data visualisation. We also pride ourselves on our close integration with non-technical/non-data teams as our success comes from effectively working with multiple … pipelines in dbt Experience with GCP Experience with Terraform Strong Python skills Experience with version control for data models (e.g., dbt testing frameworks, data documentation) Demonstrated experience with data modelling concepts (dimensional modelling, star schemas) Experience writing efficient and optimised SQL for large-scale data transformations Understanding of data warehouse design principles and best practices Proactive approach to … Experience working with APIs Experience working with large-scale spatial datasets (billions of rows) and performing geospatial analysis at scale using BigQuery GIS or similar tools Experience with advanced analytical modelling techniques, including statistical analysis and predictive modelling, particularly applying these to large-scale datasets to derive actionable insights Knowledge of data governance and metadata management Experience More ❯

We're looking for an Associate Insight Analyst to join our Consumer Packaged Goods (CPG) team based in Richmond, London,supporting data-driven decision-making and helping shape our analytical capabilities. About the Role As an Associate Insight Analyst , you will work with data to uncover insights that influence key business decisions. You'll support the development of reports … dashboards, and analytical models, working closely with internal teams and stakeholders. This role is ideal for someone looking to develop their technical and problem-solving skills while gaining experience in a fast-paced, data-driven environment. What You'll Do Data Analysis & BI Development Perform data analysis using SQL, Python/R, and visualisation tools such as Power BI. … or entry-level roles). Proficiency in SQL and familiarity with Python/R for data analysis. Experience with data visualisation tools like Power BI is a plus. Strong analytical and problem-solving skills, with a keen eye for detail. Effective written and verbal communication skills to share insights with diverse audiences. A degree in Data Science, Computing, Statistics More ❯

Operations. This role, based in London, will focus on Business Analytics and Business Intelligence related to Private Pricing Deals, requiring broad technical skills, strong business acumen and a deep analytical background to provide performance reporting, actionable insights and decision support. In this role, you will partner with Private Pricing leaders and teams by leveraging your analytical expertise to … requirements into actionable solutions. You'll develop a deep understanding of the AWS Private Pricing business to drive insights that are relevant and actionable. Your responsibilities will include building analytical and forecasting models, creating intuitive self-service dashboards and visualizations, and implementing automation solutions that drive process improvements across the organization. The individual must have the ability to communicate … new metrics, dashboards, scorecards or new tools. • Develop relationships and processes with sales, finance, sales operations, and other functional teams to identify and address reporting issues. • Manage and develop analytical tools or reports that through the automation existing inspection mechanisms such as business reviews, annual planning, and forecasting processes. • Create operational templates and processes to compile and standardize disparate More ❯

ll help over 200,000 businesses across the UK and Europe navigate challenges and boost profitability. My client is looking for a Junior Data Scientist eager to apply their analytical and modeling skills to provide insight and drive impactful business decisions. Your Responsibilities: Analyse complex datasets : Work with large volumes of financial data to identify trends, patterns, and insights … in particular NLP , LLM's and Time Series Forecasting. Experience with data visualization tools : Knowledge of tools like Tableau/Power BI , or similar to present data effectively. Strong analytical skills : Ability to interpret complex data and communicate findings clearly to both technical and non-technical audiences. It's A Bonus If You Have: Experience in finance : Prior exposure More ❯

projects. You will work across different industries, initially focusing within Defence in the UK. Job role responsibilities for Analyst/Consultant will include: Helping to design, develop and run analytical models. Collating, managing, structuring, analysing and visualising data. Working with MS Excel and VBA as a key analysis tool. Deriving unique insights from data to inform senior-level decision … results. Initial clients will be based around key UK Defence establishments in the south of England. Skills/Qualifications required for role of Senior Analyst/Consultant: A strong analytical background A passion for data analysis and data visualisation Advanced MS Excel skills Strong knowledge and experience of Excel VBA Knowledge of data visualisation tools, PowerApps, including Power BI … Software development using Python. Modelling skills, highly numerate Understanding of agile software development approaches and software architecture Management Consulting skills Experience working in Defence in the UK Ability to work at senior to junior levels within organisations. Strong organisational and time management skills, with the ability to multi-task and prioritise your work. Awareness of decision-support approaches, investment More ❯

outcomes. You'll deliver clear, timely, and accessible data that drives continuous improvement across campaigns. This is a hands-on role, offering the opportunity to apply a range of analytical techniques - from advanced modelling to testing frameworks to more ad-hoc insight projects - while also developing your ability to communicate insight to senior clients with clarity and impact. … and supporting both internal and client teams in maximising the value and impact of their data assets The Data Lead will be expected to demonstrate the following core competencies: Analytical You'll play a central role in uncovering media effectiveness insights that directly inform strategy for our clients. You must be confident in applying a range of analytical techniques - from attribution analysis to econometric modelling - to assess campaign performance across all channels. Crucially, you'll translate complex data into clear, actionable recommendations that drive smarter media investment and continuous optimisation. Technical This role demands advanced proficiency in coding languages such as Python and SQL, alongside expert-level Excel skills for robust data manipulation and analysis. You More ❯