1 to 25 of 58 Analytical Modelling Jobs in London

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 … 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 … Experience working with large-scale spatial datasets (billions of rows) and performing geospatial 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 More ❯

measuring data science projects such as random forest, k-means, linear regression. Optimization: Collaborate with teams to identify process optimization opportunities. Collaborate: Lead an analytical principle and deliver an analytics strategy. Development: Keep updated on industry trends and analytics best practices. WHO YOU ARE Advanced knowledge of statistical and … analytical tools such as Python, R, or SQL (+6 Years) Ability to explain complex analytical concepts to non-analysts Proven experience leading analytics projects from conception to implementation, with strong project planning and management skills Strong understanding of analytical modelling techniques (e.g., random forest, k-means … linear regression) Excellent communication and presentation skills Accurate and relevant analytical insights Focus on Data Quality Improvement Promote Adoption Rate of Analytics Tools/Insights Support personal development and growth of analysts Why New Look? We care about you and the planet and believe fashion should be a force More ❯

to everything you do. Responsibilities The responsibilities and duties of the role will include, but are not limited to: Technical development and deployment Develop analytical models and tools using Python and statistical or machine learning techniques to address business challenges. Collaborate with consultants to understand client needs and design More ❯

analytics projects end to end Passionate about improving data quality and tool adoption across the business Strong team leadership and mentoring skills Experienced in analytical modelling and machine learning techniques Apply Now You can apply for the Analytics Manager position now by sending us your CV or by More ❯

analytics projects end to end Passionate about improving data quality and tool adoption across the business Strong team leadership and mentoring skills Experienced in analytical modelling and machine learning techniques Apply Now You can apply for the Analytics Manager position now by sending us your CV or by More ❯

the adoption of MindShare's media planning tool (MAP), ensuring adherence to data best practices while facilitating training and support Lead integration of advanced analytical models (MMM, MTA, DCO, etc.), ensuring they power Ford's media strategy effectively Collaborate cross-functionally to ensure seamless knowledge-sharing, alignment, and education More ❯

a product designer or in a similar role Able to translate strategy into a well-structured design execution plan Great attention to detail and analytical reasoning Able to model both qualitative and quantitative user research from scratch Strong advocate and user of design systems and know-how about implementing More ❯

skills. Responsibilities: Develop and support quantitative models and investment decisions. Conduct research and statistical analysis for analysts and PMs. Develop portfolio optimisation tools and analytical models. Enhance data pipelines and automate processes. Qualifications: 1-2 years' experience in investment management. Bachelor's or Master's degree in a STEM More ❯

skills. Responsibilities: Develop and support quantitative models and investment decisions. Conduct research and statistical analysis for analysts and PMs. Develop portfolio optimisation tools and analytical models. Enhance data pipelines and automate processes. Qualifications: 1-2 years' experience in investment management. Bachelor's or Master's degree in a STEM More ❯

us understand the fundamentals driving supply and demand of power, gas and related markets. Jump's Analysts collaborate within our trading team to develop analytical models and optimize trading strategies. Skills You'll Need: Proven success in modeling and researching the fundamental drivers within the European energy markets Experience More ❯

for content Track record of building and maintaining a network of professional relationships Ability to deal with ambiguity and adapt to changing circumstances Strong analytical and commercial modeling skills Passion for tackling big challenges and continuous learning Amazon is an equal opportunities employer. We believe passionately that employing a More ❯

demand generation programs that drive pipeline growth. Hands-on expertise in SEM, paid social, ABM, and marketing automation tools (HubSpot, Marketo, Pardot). Strong analytical skills, including attribution modeling and budget optimization for ROI. [Preferred] Background in enterprise B2B SaaS and a passion for ESG initiatives. Additional Information Beginning More ❯

RD level. Main Duties What You'll Do: Design and execute advanced quantitative research techniques (e.g., conjoint, MaxDiff, segmentation, pricing etc.) Develop and run analytical models to extract meaningful insights Work closely with research consultants to support data-driven storytelling Ensure the integrity and accuracy of data analysis across More ❯

is also responsible for the development of new investable strategies that are based on best practices and innovation. We deploy new data signals and analytical models for prototyping investable indexed strategies prior to production. Your Key Responsibilities The appropriate candidate will be asked to primarily work with Wealth Managers More ❯

Familiarity with world-class sourcing methodologies and tools. Exceptional problem-solving skills and a proven track record of cost reductions and supplier development. Strong analytical skills for cost modeling and market trend analysis. Excellent communication skills and the ability to influence cross-functional teams. Our inclusive culture empowers Amazonians More ❯

is also responsible for the development of new investable strategies which are based on best practices and innovation. We deploy new data signals and analytical models for prototyping investable indexed strategies prior to production. Your Key Responsibilities: The appropriate candidate will be asked to primarily work with Wealth Managers More ❯

is also responsible for the development of new investable strategies which are based on best practices and innovation. We deploy new data signals and analytical models for prototyping investable indexed strategies prior to production. Your Key Responsibilities: The appropriate candidate will be asked to primarily work with Wealth Managers More ❯

organizations make their data more meaningful. Our world-leading software company provides a single networked view of internal and external data as input to analytical and AI models. From compliance, fraud, anti-money laundering, and credit risk to customer intelligence and master data management, Quantexa partners with Global Tier More ❯

organizations make their data more meaningful. Our world-leading software company provides a single networked view of internal and external data as input to analytical and AI models. From compliance, fraud, anti-money laundering, and credit risk to customer intelligence and master data management, Quantexa partners with Global Tier More ❯

to make more informed data-guided decisions. Monitor, report and diagnose trends in KPIs, automating wherever possible, and proactively finding risks and opportunities. Develop analytical tools and models to improve our analytical capabilities. What we look for: Proficiency in SQL is essential; we also use Python for automation … modelling, and experimentation. If you're not an expert yet, we'll help you get there. Experience in a CRM or customer-focused analytical role, especially at a senior level. Strong communication skills; ability to scope projects, disseminate results, and build confidence with key internal stakeholders of varied More ❯

PLEASE NOTE - To be considered you need to possess active NPPV3 security clearance THE ROLE To develop and implement advanced analytical models and algorithms to extract actionable insights from complex crime and intelligence data, supporting data-driven decision-making in crime prevention, investigations, and public safety. This involves leveraging … statistical modelling, machine learning, and other data science techniques to identify patterns, predict trends, and generate intelligence that informs policing strategies. EXPERIENCE: 5+ years of experience in data science, Statistics or a related field. Proven experience in developing and implementing data science solutions to real world problems, preferably in … a public sector. Good experience of working with large and complex datasets and handling sensitive data. Experience with predictive modelling, machine learning, data visualizations and dashboards. SKILLS ATTRIBUTES Proficiency in statistical modelling and machine learning techniques. This includes skills in regression analysis, classification, clustering, and other relevant techniques. More ❯

level and understand dependencies. The team is also responsible for developing new investable strategies based on best practices and innovation, deploying data signals and analytical models for prototyping indexed strategies before production. Key Responsibilities Work primarily with Wealth Managers, Private Banks, and Asset Managers in France to promote MSCI More ❯

s Degree) in fields such as Statistics, Mathematics, Computer Science, or Engineering. Business proficiency in English (B2 Level Minimum required). Excellent numerical and analytical skills. Deep understanding of statistical methods, data science, and/or analytical modeling, with a broad knowledge base across the wider data analysis More ❯

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 transform business 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 … 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 automate existing inspection mechanisms such as business reviews, annual planning, and forecasting processes. Create operational templates and processes to compile More ❯

time. You will also work closely with internal business teams to extract or mine information from our existing systems to create new analysis, build analytical products and cause impact across wider teams in intuitive ways. This position provides opportunities to influence high visibility/high impact areas in the … recommendations Collaborating with product and software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of analytical and machine learning models Mining and manipulating data from database tables, simulation results, and log files Identifying data needs and driving data quality improvement More ❯