826 to 850 of 6,288 Permanent Analytics Jobs

limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk More ❯

Sales Lead Scientist Apply locations: London, United Kingdom Time type: Full time Posted on: Posted Yesterday Job requisition id: 30622 About FICO FICO (NYSE: FICO) is a leading global analytics software company, helping businesses in over 100 countries make better decisions. Join our world-class team today and fulfill your career potential! The Opportunity As an AI Pre-Sales Scientist More ❯

performance tuned architecture, investigating performance issues and fixing and tuning the systems Experience working with Azure DevOps and CI/CD pipeline. Experience working with MS D365, ServiceNow, Azure Analytics tools, Azure Data lake, Azure Synapse, Azure BYOD & Data verse Experience or knowledge of Informatica, BI tools, etc. is a big plus. The position will be based in either Trumbull More ❯

Spock. Experience with AWS or other distributed cloud solutions. Understanding of system architecture and networking concepts for traffic testing and debugging. Knowledge of video technologies and quality metrics. Data analytics or data science experience. Experience with mobile test automation tools for Android and iOS. UI testing experience using Cypress, JS, or TS for automation. V-Nova has contributed to the More ❯

thousand+ features, policy documents, etc). Enable the collection of new data and the refinement of existing data sources. Help manage day to day operations of the Data Science & Analytics platform (Databricks), and other ML Solutions built & operated tech across various platforms. Coordinate and manage small to medium sized machine learning projects in small cross functional squads. What wed like More ❯

on involvement in delivering complex, multi-disciplinary modelling projects, including the development of neural network models. Practical application of AI/ML techniques in industrial process optimisation and predictive analytics Demonstrated ability to take on divers roles across the lifecycle of complex modelling initiatives including: Product ownership – defining vision, roadmap and stakeholder alignment, Project management – planning, coordination and execution of More ❯

on involvement in delivering complex, multi-disciplinary modelling projects, including the development of neural network models. Practical application of AI/ML techniques in industrial process optimisation and predictive analytics Demonstrated ability to take on divers roles across the lifecycle of complex modelling initiatives including: Product ownership – defining vision, roadmap and stakeholder alignment, Project management – planning, coordination and execution of More ❯

on involvement in delivering complex, multi-disciplinary modelling projects, including the development of neural network models. Practical application of AI/ML techniques in industrial process optimisation and predictive analytics Demonstrated ability to take on divers roles across the lifecycle of complex modelling initiatives including: Product ownership defining vision, roadmap and stakeholder alignment, Project management planning, coordination and execution of More ❯

suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred) Basic qualifications: US Citizenship - candidates being considered for a Public Sector roles must be a More ❯

Using your strong knowledge of SQL and Python plus quantitative skills to define features that capture evolving fraudster behaviours Develop internal tools to streamline the model training pipeline and analytics workflows Applying your curiosity and problem-solving skills to transform uncertainty into value-add opportunities Using your strong attention to detail and ability to craft a story through data, delivering More ❯

Using your strong knowledge of SQL and Python plus quantitative skills to define features that capture evolving fraudster behaviours Develop internal tools to streamline the model training pipeline and analytics workflows Applying your curiosity and problem-solving skills to transform uncertainty into value-add opportunities Using your strong attention to detail and ability to craft a story through data, delivering More ❯

Using your strong knowledge of SQL and Python plus quantitative skills to define features that capture evolving fraudster behaviours Develop internal tools to streamline the model training pipeline and analytics workflows Applying your curiosity and problem-solving skills to transform uncertainty into value-add opportunities Using your strong attention to detail and ability to craft a story through data, delivering More ❯

processes for technical AI governance Demonstrated understanding of the AI/ML development lifecycle, including data preparation, model training, testing, deployment, and monitoring Experience analysing & visualising data in common analytics platforms or dashboarding tools Interest in AI governance or emerging AI regulation (e.g. EU AI Act) Self-starter with a growth mindset and a genuine interest in building expertise in More ❯

Strong analytical and problem-solving skills. Excellent planning and organising skills Ability to multi-task and deliver both immediate and longer-term tasks Desirable Knowledge Areas: Understanding of data analytics tools (e.g., Power BI, Tableau). Familiarity with compliance standards (e.g., GDPR, ISO 27001). Knowledge of programming languages such as Python , Java , or C# for application customisation. More ❯

growth mindset and a solid grasp of data science fundamentals to join our world-class team at RAPP. Youll support senior team members in delivering machine learning and advanced analytics solutions for global brands like Ralph Lauren, KFC, and Mercedes. This role is perfect for someone at the start of their career who is passionate about applying their skills to More ❯

partner closely with teams across the business to drive data-informed decisions. Responsibilities Taking ownership of the data relationship with business stakeholders With support from the rest of the Analytics team Reporting on our baseline performance and trends. Keeping our finger on the pulse. Driving us towards a self-serve first culture Reporting on complex experimentation Close analyst-stakeholder relationships More ❯

APIs, integrations, and third-party service layers Good command over data handling, version control systems (Git, Bitbucket), and repository management Strong grasp of performance monitoring, SLA tracking, and delivery analytics Experience in handling white-label/B2B delivery environments across multiple domains Understanding of AI/ML workflows, tools, and trends, including hands-on experience with prompt engineering for tools More ❯

empowers financial institutions to spot suspicious activity, like money laundering, and stops it in its tracks. Napier AI's technology works like a digital detective, combining AI with smart analytics to outthink criminals and protect people's money from becoming criminal proceeds. It's not just about stopping crime-it's about making the financial world safer and more trustworthy More ❯

and knowledge bases, with familiarity in integrating them with LLMs. Experience with advanced model monitoring, observability, and governance of LLMs and generative AI systems. Experience with data engineering or analytics platforms. Understanding of AI safety, security, and compliance best practices in production. Enthusiasm for learning and adopting the latest MLOps and AI technologies. #ICB #ICBEngineering About Us J.P. Morgan is More ❯

Analyst, Materials Management US-KS-Clearwater Job ID: Type: Full-Time # of Openings: 1 Category: Supply Chain Clearwater Warehouse Overview This position is responsible for preparing data analytics and administrative support for Materials Management. The Analyst I position handles basic assignments and provides support while receiving direction from the supervisor or teammates. The Materials Management Analyst partners with department More ❯

Data Product and Delivery Manager , you will work closely with all areas of the business to deliver wide-ranging data-driven solutions to our customers Deliver iPipeline's InsureSight analytics service to the UK market, servicing existing and new customers with excellent communication skills and a strong grounding in statistics. No two days are the same working in a dynamic More ❯

process automation and data-driven decision-making. There is a major opportunity to modernise how we deliver and manage data as well as expanding the use of data and analytics inside the business . The right candidate will find real scope to influence direction and develop business cases for change, implement good practice, and guide the team toward scalable, robust More ❯

drivers, and generate actionable insights that influence strategic priorities. Build, automate, and maintain dashboards in BI tools to monitor key financial and operational metrics. Partner cross-functionally with Data Analytics and Revenue Operations teams to ensure high-quality data pipelines, enhance data accuracy, and develop self-serve reporting capabilities. Use SQL and scripting tools to extract and manipulate large datasets More ❯

Oversee imports and ensure accurate processing of new and updated data, including from external data agencies. Analyse and interpret data sets to support performance monitoring. Work with the Insight & Analytics Manager to support reporting processes and develop insights. About You: Proven experience managing and improving database systems and processes. Strong SQL skills are essential. Confidence using automation tools like Power More ❯

and business stakeholders. Bachelor’s degree or higher in data science, data engineering, business intelligence, business administration or similar education with a focus on data/business intelligence/analytics is preferred. We also value: Strong interest and gaining expertise in people management tasks including recruitment, personnel development, giving feedback and solving interpersonal conflicts – passionate to apply these to foster More ❯