1 to 25 of 38 Pattern Recognition Jobs

developing, and deploying state-of-the-art, data-driven predictive models to solve business problems using the latest technologies in data mining, statistical modeling, pattern recognition, and performance inference. This is a unique opportunity to contribute to FICO Scores International, where you will learn and apply flagship FICO … consumer credit and credit bureau datasets to assess modeling suitability, identify data patterns, develop variables, and support scoring solutions. Apply statistical modeling, machine learning, pattern recognition, and performance inference techniques to identify effective modeling approaches and improve model performance. Anticipate, investigate, and resolve data, modeling, and analytical issues ...

detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models for these problems. Collaborate with developers to integrate … detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models for these problems. Collaborate with developers to integrate ...

detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models for these problems. Collaborate with developers to integrate … detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models for these problems. Collaborate with developers to integrate ...

thrilled to announce that our client has been named one of theSunday Times Top 100 Medium-Sized Companies to Work For in 2025a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Our client is recruiting … secure government environments. The role focuses on applying data science and AI techniques to operational intelligence challenges, including large-scale data analysis, predictive modelling, pattern recognition, and automated decision support. The successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, software engineers, mission analysts ...

both technical and non-technical people. Strong, complex problem-solving skills and self-starter. Experience applying Natural Language Processing (NLP) to cluster and pattern recognition in textual information. QualificationsA graduate from a relevant technical degree qualification in Data Science related course, GIS/Computer Science. A masters degree ...

Tableau, or Power BI; Azure cloud computing platform; Big data technologies such as Spark, Elasticsearch, Hadoop; Statistical techniques (regression, clustering etc.); Machine learning and pattern recognition; Front-end web development e.g. HTML, JavaScript; We are looking for tenacious and curious individuals with a desire ...

allocation decisions Build and execute incrementality tests and translate results into concrete campaign recommendations Apply ML techniques such as segmentation, propensity modeling, and behavioral pattern recognition to identify customer response patterns and inform audience strategy and experiment design Partner with cross-functional teams to scope analytical problems, define ...

solutions, including custom code and workflows Agentic AI systems, ranging from task automation to semi-autonomous decision support Advanced analytics solutions, including data ingestion, pattern recognition, and predictive insights Collaborate with data scientists, engineers, and platform teams to build robust solutions Work directly within assets to ensure solutions ...

compelling business cases for product or feature enhancements and influencing cross-functional teams (Product, Content, Platform) without direct authority. Comfortable utilizing AI tools and pattern recognition outputs to extend analytical capacity across large datasets, prioritize workloads, and build scalable frameworks for performance monitoring. Excellent communication skills, with ...

quality assurance Knowledge of continuous integration tools (Jenkins, GitLab, TeamCity, AWS) and their optimization for quality gates Experience with test flakiness analysis, failure pattern recognition, and automated root cause identification Strong verbal and written communication skills with the ability to influence senior leadership and cross-functional teams ...

team to automate recurring reporting and enhance self‐service capabilities Collaborate with the AI & Data Science team to shape derivative features, predictive models, and pattern recognition analytics Work with the Chief Data Office to ensure high‐quality source data, governance, and entitlements that underpin advisory narratives Required qualifications … integrating analytics into recurring HR processes and decision‐making forums with track record of increasing self‐service analytics adoption, automating routine data requests, and recognition as a trusted partner by business and HR leadership Preferred qualifications, capabilities, and skills Financial services or professional services background preferred Human Resources Strategy ...

Intelligence team to automate recurring reporting and enhance self-service capabilitiesCollaborate with the AI & Data Science team to shape derivative features, predictive models, and pattern recognition analyticsWork with the Chief Data Office to ensure high-quality source data, governance, and entitlements that underpin advisory narrativesRequired qualifications, capabilities … integrating analytics into recurring HR processes and decision-making forums with track record of increasing self-service analytics adoption, automating routine data requests, and recognition as a trusted partner by business and HR leadershipPreferred qualifications, capabilities, and skillsFinancial services or professional services background preferredHuman Resources Strategy experience preferredJ.P. Morgan ...

team to automate recurring reporting and enhance self-service capabilities Collaborate with the AI & Data Science team to shape derivative features, predictive models, and pattern recognition analytics Work with the Chief Data Office to ensure high-quality source data, governance, and entitlements that underpin advisory narratives Required qualifications … integrating analytics into recurring HR processes and decision-making forums with track record of increasing self-service analytics adoption, automating routine data requests, and recognition as a trusted partner by business and HR leadership Preferred qualifications, capabilities, and skills Financial services or professional services background preferred Human Resources Strategy ...

impacts client's product development. Requirements 2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence Experience with developing machine learning models at scale, such as programmatically querying LLMs and LLM post-training. ...

driven technologies to streamline benefits processes, enhance employee experience, and drive healthcare cost curve optimization Lead strategic thinking initiatives and identify cross-market pattern recognition opportunities to scale innovative solutions across European markets Collaborate with AI systems and provide supervision for automated benefits processes while maintaining human oversight ...

process millions of events with sub-second latency feeding AI models and our analytics platform. Data Intelligence - Utilizing BigQuery for deep historical analysis and pattern recognition to power our predictive recommendation engine. Agentic AI - Integrating our insights layer with JET’s communication and optimization agents to drive automated ...

maintain testing tools and environments Review logs and test outputs to spot issues and recommend improvements using Natural Language Processing (NLP) or pattern recognition to aggregate thousands of log lines into actionable summaries, significantly reducing the time spent on root-cause analysis Help keep test tracking and reporting ...

benchmarking • Strong written and verbal communication skills; comfortable presenting findings to executive stakeholders and across different departments • Detail-oriented with strong critical-thinking and pattern-recognition skills • Strong understanding of how commercial activity flows through to the P&L, with the ability to frame market insights in revenue ...

growing Quant Hedge Fund in the Commodities and Equities space.The ideal Quant candidate will be highly proficient at researching data and pattern recognition, but mayYou will be a researcher or mathematician motivated by what’s new to ensure you’re always ahead of the curve. You will understand ...

applications, web applications, or spreadsheet-based solutions Experience with enterprise tooling such as Jira, application health dashboards, alerting, and incident bridges Demonstrated curiosity and pattern recognition, with a track record of reducing recurring issues through partnership with product and engineering Interest in using artificial intelligence to reduce friction ...

extract relevant insights about how they perform a process and interact with a product or system. This involves uncovering pain points, process mapping, pattern recognition, and connecting takeaways to potential solutions. Requirements definition : Take responsibility for eliciting requirements through various techniques such as interviews, workshops, and document analysis. ...

service teams to embed vulnerability management into delivery pipelines , operational processes and change management. Leverage AI security tools and automation to streamline triage, pattern recognition, and risk prioritisation. Establish strong relationships with engineering teams to track and report status and remediation progress Manage and track the remediation backlog ...

complex, rapidly evolving problems. Non negotiable skills: 2+ years' hands-on Machine Learning/AI experience - including ML, artificial intelligence, recommendation systems or pattern recognition. Strong Python programming skills Experience developing ML models at scale Experience running complex experiments with large AI models and datasets. Strong understanding ...

looking for You should have hands‐on knowledge or experience within at least one of: Machine Learning Artificial Intelligence Large Language Models Recommendation Systems Pattern Recognition Data Mining Research Engineering You’ll also need: Strong project or program coordination skills. Experience working across technical and non-technical teams. ...

Clearly communicate in a timely and collaborative way Requirements Hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence Currently has or is pursuing a Bachelor's and/or Master’s degree in Computer Science ...