301 to 325 of 2,564 Analytics Jobs in England

order to align to business needs - Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly ...

order to align to business needs - Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly ...

order to align to business needs - Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly ...

Skills & Experience Proven experience as a Project Manager within banking or financial services Strong experience delivering data-focused projects (data platforms, migration, reporting, analytics, etc.) Excellent stakeholder management and communication skills Strong planning, risk management, and delivery governance experience Experience working in regulated environments Experience delivering projects under Agile, Waterfall ...

Snowflake Modernise client and investor reporting (performance, attribution, ESG) Lead sales, marketing, and digital engagement data platforms Partner with data science teams on analytics and AI initiatives Lead and mentor global technology teams; influence senior stakeholders Required Experience Strong technology leadership background (consulting experience a plus) Experience in asset management ...

best-in-class data infrastructure. Key Requirements Strong Python (pandas, NumPy, scikit-learn; PyTorch/TensorFlow a plus) and SQL skills Experience applying advanced analytics or ML to real-world data (finance, fintech, or forecasting contexts ideal) Proficiency with BI tools (Tableau or similar) 2–6 years' relevant experience ...

best-in-class data infrastructure. Key Requirements Strong Python (pandas, NumPy, scikit-learn; PyTorch/TensorFlow a plus) and SQL skills Experience applying advanced analytics or ML to real-world data (finance, fintech, or forecasting contexts ideal) Proficiency with BI tools (Tableau or similar) 2–6 years’ relevant experience ...

strategic decisions. Monitor and evaluate the performance of data-driven initiatives and recommend optimizations. Stay current with industry trends and best practices in data analytics and contribute to continuous improvement efforts. CANDIDATE REQUIREMENTS Independent skills Team work skills Organisational skills Good written and oral communication skills Self-Motivated Meets ...

stakeholders. Brings clarity to complexity and is effective at building consensus. Cross-Functional Influence & Team Enablement : Adept at working across product, engineering, finance, and analytics teams. Provides directional clarity, coaches team members, and fosters a collaborative delivery environment. ...

experience, ideally within tech or SaaS sectors. Proficiency in Google Ads, Microsoft Ads, and LinkedIn Ads. Strong analytical skills with experience in Google Analytics and Tag Manager. Excellent communication skills and attention to detail. Google Ads Certification (preferred). Desirable Skills Experience with programmatic advertising platforms (e.g., DV360). Familiarity ...

Global Head of Data, Analytics with AI, Chief Data Officer, CDO, Enterprise Transformation, Central London Global Head of Data & Analytics Officer required to work for a Global Enterprise business based in Central London. However, this will be part remote and there will be a requirement for office presence when facing … business. It is one of the most important hires in this company’s recent history. Your mission will be to drive Data Analytics into its next phase. You will formulate an innovation and data strategy across this global organisation, enabling next-generation customer experiences, operational excellence, and ethical AI adoption. ...

part of the apprenticeship programme Keep up to date with emerging data trends and technologies Apprentice Data Engineer Requirements Strong interest in data, analytics, and technology Basic understanding of Python, SQL, or similar programming languages Excellent problem-solving and analytical skills Effective communication and teamwork abilities Proactive, confident, and eager ...

/Manufacturing sector experience (mandatory)* Proven track record as a Senior Project Manager in large-scale, complex programmes* Strong technical competence in reporting and analytics solutions, preferably built on Microsoft Azure and Microsoft Fabric* Excellent communication and stakeholder management skills, with the ability to lead discussions and influence decisions ...

Learning Engineer/ML Engineer Machine Learning Development Design and implement machine learning models for financial applications, with a focus on pricing and risk analytics Build scalable ML pipelines for processing large-scale financial data Develop deep learning architectures for time series prediction, anomaly detection, and pattern recognition in market ...

Experience using source control and DevOps tooling such as Gitlab Experience in use of terraform (or similar cloud native products) to build new data & analytics platform capabilities Experience with developing data features and associated transformation procedures on a modern data platform. Examples include (but not limited to) Azure Fabric ...

engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker and Kubernetes experience Exposure to model governance, explainability, or regulatory frameworks Contract Details ...

engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker and Kubernetes experience Exposure to model governance, explainability, or regulatory frameworks Contract Details ...

engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker and Kubernetes experience Exposure to model governance, explainability, or regulatory frameworks Contract Details ...

engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker and Kubernetes experience Exposure to model governance, explainability, or regulatory frameworks Contract Details ...

engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker and Kubernetes experience Exposure to model governance, explainability, or regulatory frameworks Contract Details ...

engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker and Kubernetes experience Exposure to model governance, explainability, or regulatory frameworks Contract Details ...

engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker and Kubernetes experience Exposure to model governance, explainability, or regulatory frameworks Contract Details ...

engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker and Kubernetes experience Exposure to model governance, explainability, or regulatory frameworks Contract Details ...

engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker and Kubernetes experience Exposure to model governance, explainability, or regulatory frameworks Contract Details ...

engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker and Kubernetes experience Exposure to model governance, explainability, or regulatory frameworks Contract Details ...