1 to 25 of 33 Pattern Recognition Jobs

and combine datasets. Document workflows, develop prototypes, and effectively communicate technical results to both technical and non-technical audiences. Support critical thinking and analytical judgments through statistical modeling, data pattern recognition, and trend analysis. Operate as a self-starter and problem solver, independently tackling ambiguity and driving results with minimal supervision. Coordinate with customers to resolve data discrepancies … Other Required Skills & Capabilities Ability to synthesize disparate data sources and present findings clearly. Experience applying mathematical and statistical models to answer business or mission questions. Demonstrated critical thinking, pattern recognition, and analytical judgment. Ability to manage multiple tasks independently and meet deadlines in a fast-paced environment. Clear documentation and reporting of analytical workflows and outcomes. Comfortable More ❯

enhancements. Required Skills/Qualifications/Duty Experience Essential: Seven or more years of experience in data science Proficiency with data mining, mathematics, and statistical analysis Advanced experience in pattern recognition and predictive modeling Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS) Ability to work effectively in a dynamic, research-oriented group More ❯

interactive maps, visualizations, and dashboards to communicate analytical findings to stakeholders. Research and implement cutting-edge techniques in spatiotemporal machine learning, including time series forecasting, spatial clustering, and geographic pattern recognition. Optimize model performance and scalability for processing large geospatial datasets in production environments. Work closely with product managers and clients to translate business requirements into technical solutions. Collaborate More ❯

content visible to millions of customer and solve key customer experience issues. You will develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems. You will define the research and experiments strategy with an iterative execution approach to develop AI/ML models and progressively improve the More ❯

needs. Advanced Data Analytics: Implement data analytics capabilities on the platform that enable processing, analysis, and visualization of geospatial and sensor data. Develop algorithms and tools for geospatial analysis, pattern recognition, anomaly detection, and predictive modeling using machine learning techniques. Real-Time Data Processing: Build real-time or near-real-time data processing systems to deliver actionable insights More ❯

delivery within a technical or data-intensive environment. Experience with common geospatial software platforms (i.e. QGIS, ESRI ArcGIS, ENVI, ERDAS). Strong analytical skills and attention to detail for pattern recognition in geographic data, products, and services. Knowledge of cloud computing services (AWS, Azure, Google Cloud) for scalable deployment. MUST be a US Citizen. MUST possess a Secret More ❯

delivery within a technical or data-intensive environment. Experience with common geospatial software platforms (i.e. QGIS, ESRI ArcGIS, ENVI, ERDAS). Strong analytical skills and attention to detail for pattern recognition in geographic data, products, and services. Knowledge of cloud computing services (AWS, Azure, Google Cloud) for scalable deployment. MUST be a US Citizen. MUST possess a Secret More ❯

Demonstrated knowledge and experience using artificial intelligence and machine learning techniques within one or more of the following fields: natural language processing, image processing and computer vision, image and pattern recognition. Demonstrated knowledge and experience with large language models for generative AI and associated concepts, such as transformer architecture and retrieval augmented generation. Strong programming ability with demonstrated experience More ❯

Python, R, or other relevant programming languages and have Experience with machine learning libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch). With a background in data mining and pattern recognition you'll be an expert in statistical modelling, predictive analytics and regression techniques. An industry certification in data science or a related field is required. About us More ❯

actionable insights , integrating diverse data sources to build a comprehensive view of network behavior, risk, and opportunity Proactively surface emerging risks and opportunities , using anomaly detection, fraud analytics, and pattern recognition to inform strategic interventions Contribute to the evolution of data science infrastructure , working with platform teams to enhance tooling for experimentation, model monitoring, and reproducibility Represent the More ❯

implementing AI/ML solutions for a wide range of decision-making and SIGINT processing needs. This includes working with time-series data and developing models for event characterization, pattern recognition, anomaly detection, decision making, and automated analysis of SIGINT sensor systems. You will work with team leads to integrate AI/ML capabilities into enterprise architectures, ensuring More ❯

to guide sound decision-making. We encourage innovation by being curious learners , always seeking new knowledge, skills, and perspectives. We act as team players , prioritising team success over individual recognition, and our client-centric mindset ensures we consistently understand and meet the needs of our clients, adding value at every step. These behaviours run through everything we do, enabling … decisions. Nice-to-Haves Experience with forecasting models for revenue, client growth, and network activity. Familiarity with data visualization tools like Tableau. Exposure to fraud detection, anomaly detection and pattern recognition modeling. More ❯

implementing AI/ML solutions for a wide range of decision-making and SIGINT processing needs. This includes working with time-series data and developing models for event characterization, pattern recognition, anomaly detection, decision making, and automated analysis of SIGINT sensor systems. You will work with team leads to integrate AI/ML capabilities into enterprise architectures, ensuring More ❯

customer interaction) - Payments activity (online payments, bank transfers, card payments over the phone - B2C Communications frequency and customer behaviour - Peaking and troughing analysis of collections performance - Payment types and pattern recognition - On time payments and payplans Provide concepts to enhance collections performance - Dialler campaigns - Marketing communications Development and Monitor collection KPIs (Recovery Rate, loan instalments, payplans, communications, gross More ❯

customer interaction) -Payments activity (online payments, bank transfers, card payments over the phone -B2C Communications frequency and customer behaviour -Peaking and troughing analysis of collections performance -Payment types and pattern recognition -On time payments and payplans Provide concepts to enhance collections performance -Dialler campaigns -Marketing communications Development and Monitor collection KPI’s (Recovery Rate, loan instalments, payplans, communications More ❯

sustainability. Skills/Knowledge: Strong knowledge of machine learning, including time series forecasting, regression models, and neural networks. Experience with computer vision techniques, including image processing, object detection, and pattern recognition. Experience of designing, testing, and deploying machine learning models in a controlled environment. Understanding of data privacy regulations and ethical considerations. Understanding of UI centred product design, as More ❯

in software or data configuration and/or data engineering 2+ years' experience programming with JavaScript, Python and HTML/CSS/XML High attention to detail and strong pattern recognition skills Ability to interpret and follow complex tasking instructions and apply them consistently Active Secret clearance Desired Qualifications: Active Top-Secret clearance with SCI eligibility Experience with More ❯

in software or data configuration and/or data engineering 2+ years' experience programming with JavaScript, Python and HTML/CSS/XML High attention to detail and strong pattern recognition skills Ability to interpret and follow complex tasking instructions and apply them consistently Active Secret clearance Desired Qualifications: Active Top-Secret clearance with SCI eligibility Experience with More ❯

and key findings to stakeholders. Collaborate with cross-functional engineering teams to understand requirements and deliver actionable insights. AI/ML knowledge where relevant to support predictive analysis and pattern recognition. Leverage exposure to embedded systems to contextualize hardware-generated data and troubleshoot data inconsistencies. Qualifications: Strong experience with Tableau (dashboard design, advanced calculations, performance optimization). Proficiency in More ❯

lead the design, implementation, and optimization of graph database solutions that power mission-critical intelligence applications. You will architect graphs that model complex relationships within data, enabling advanced analytics, pattern recognition, and discovery capabilities that traditional databases cannot support. Your expertise will drive the development of graph-based applications that reveal hidden connections and deliver actionable insights to More ❯

or more general purpose programming languages including but not limited to: Python, R, Scala, Spark Experience with one or more of the following: Natural Language Processing, sentiment analysis, classification, pattern recognition. Development experience with AI frameworks such as TensorFlow, Microsoft CNTK, scikit, Keras, Caffe, Gluon, Torch. Familiarity with GenAI technology stack, including frameworks for prompt engineering, guardrails for GenAI More ❯

standards and procedures for compliance with relevant legislation.?-Devises and implements master data management processes.-Derives data management structures and metadata to support consistency of information retrieval, combination, analysis, pattern recognition and interpretation, throughout the organisation.-Plans effective data storage, sharing and publishing within the organisation. Independently validates external information from multiple sources.-Assesses issues that might prevent More ❯

of graph database solutions that advance mission-critical law enforcement operations. The ideal candidate will have experience with architecting graphs that model complex relationships within data, enabling advanced analytics, pattern recognition, and discovery capabilities that traditional databases cannot support. Your expertise will drive the development of graph-based applications that reveal hidden connections and deliver actionable insights to More ❯

Maintain appropriate databases for targeting, tasking, and analysis Identify intelligence gaps to tailor current collection or enable new collection to close the gaps Employ multiple analysis disciplines such as pattern recognition against targets' communications, network usage and digital footprints Apply your knowledge and understanding of IC needs and missions Be part of a team, working together with government … Colorado, Texas, Utah, California, Florida and Hawaii. • Team building events throughout the year such as Destination Family Events, Holiday Party, Monthly Get-Togethers • Leadership Team engagement and mentorship • Performance Recognition Program • Complimentary branded apparel Don't see a job opening that's the perfect fit? Apply to our General Position to join our talent pool for consideration for future More ❯

years ago and already in use in over 60 countries, the company's platform offers clients greater insight at unmatched speeds.The software builds on ground-breaking machine learning and pattern recognition techniques developed at the University of Cambridge to read and understand documents. The technology is clients to improve processes across their business. Main roles and responsibilities of More ❯