256 Anomaly Detection Jobs - Page 3

As an SDET QA Automation Engineer in Benchmark & Index Management at LSEG, you will be responsible for automating Quality Assurance (QA) processes for business-critical applications. You will develop high-quality test software to address complex user interfaces, data-intensive operations, and process hand-offs. Your technical expertise and ownership will be crucial in the end-to-end software delivery cycle. Key Responsibilities: - Contribute and lead testing efforts through high-quality functional and automation test scenarios - Identify, prioritize, and perform tasks in the software development lifecycle - Develop tools and applications for automation using Python-based test frameworks - Au...

Role: Senior Data Scientist What you'll do for us: ? Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world advantages/drawbacks ? Develop and/or optimize models for demand sensing/forecasting, optimization (Heuristic, LP, GA etc), Anomaly detection, Simulation and stochastic models, Market Intelligence etc. ? Use latest advancements in AI/ML to solve business problems ? Examine problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons ? Application of common business metrics (Forecast Accuracy, Bias, MAPE) a...

Role Overview: You will utilize your expertise in SAS Visual Investigator (SAS VI) to enhance fraud detection and risk management initiatives. Your responsibilities will include analyzing complex data, identifying anomalies, investigating suspicious activities, and developing visualizations and dashboards to present insights to stakeholders. Your contributions will play a crucial role in identifying patterns, generating alerts for potential fraud risks, and continuously improving fraud prevention strategies. Key Responsibilities: - Design and implement solutions in SAS VI for fraud detection, risk management, compliance, and anomaly detection. - Investigate suspicious activities by analyzing...

Role Overview: As a Machine Learning Engineer at the company, your primary role will be to apply machine learning algorithms to existing operational data (logs, metrics, events) to predict system failures and proactively address potential incidents. You will also be responsible for implementing automation for routine DevOps practices including automated scaling, resource optimization, and controlled restarts. Additionally, you will develop and maintain self-healing systems to reduce manual intervention and enhance system reliability. Your key responsibilities will include building anomaly detection models to quickly identify and address unusual operational patterns, collaborating closely wit...

Job Summary: We are looking for an experienced SAS Visual Investigator (SAS VI) Developer to support our fraud detection, risk management, and compliance initiatives. The ideal candidate will leverage SAS VI to analyze large datasets, identify suspicious patterns, generate alerts, and build visual interfaces for real-time investigation. This role is critical in enhancing our enterprise fraud management capabilities and delivering actionable insights to business and compliance teams. Key Responsibilities : Design, develop, and implement solutions using SAS Visual Investigator for fraud detection, risk management, and anomaly detection. Analyze large and complex datasets to investigate suspici...

Role Description As a Senior Data Analyst at Incedo, you will be responsible for analyzing and interpreting large and complex datasets to extract insights and identify patterns. You will work with data analysts and data scientists to understand business requirements and provide data-driven solutions. You will be skilled in data analysis tools such as Excel or Tableau and have experience in programming languages such as Python or R. You will be responsible for ensuring that data analysis is accurate, efficient, and scalable. Roles & Responsibilities: Analyzing and interpreting complex data sets using statistical and data analysis tools Developing and implementing data-driven insights and solu...

You will be part of the Capital Markets AI/ML CoE team, a horizontal CoE dedicated to driving revenue and bringing significant savings to the business by identifying, exploring, and implementing AI/ML solutions in the Capital Markets vertical at FIS. You will be responsible for assisting in designing and developing cutting-edge AI/ML solutions across the organization. - Basic working experience in data analysis and ML modeling. - Understanding of machine learning and deep learning concepts. - Ability to help formulate business problems as machine learning problems. - Familiarity with computer vision, natural language processing, and anomaly detection. - Awareness of GenAI and its industry ap...

As an experienced professional in Adobe Analytics Workspace, your role will involve reporting, dashboarding, data analysis, and providing insights to stakeholders. You will be responsible for generating various types of Custom and Standard Reports such as Funnel Performance, Path Analysis, Fallout, and End to End Customer Journey Analysis. Additionally, you will design AA dashboards, create ad hoc reports showcasing trends, progress, spike/fall rate across business KPIs, and goals for a clear understanding of digital performance. Your key responsibilities will include: - Utilizing strong hands-on experience in Adobe Analytics Workspace to generate reports and insights - Designing and develop...

Role Overview: You will be responsible for developing models to achieve business objectives and tracking their progress with metrics. Your role will involve developing scalable infrastructure for automating training and deployment of ML models, managing resources efficiently to meet deadlines, and creating data visualizations for better data comprehension. Additionally, you will brainstorm and design various POCs using ML/DL/NLP solutions, work with and mentor fellow Data and Software Engineers, and communicate effectively to understand product challenges. Key Responsibilities: - Understand business objectives and develop models to achieve them - Develop scalable infrastructure for automatin...

Role Overview: As an AI Data Quality Analyst Trainer at our company in Noida, Sector-58, you will be responsible for providing training on data quality management and AI-driven data validation to groups of students. Your main role involves delivering classroom or virtual training sessions to batches of 30-40 students. Key Responsibilities: - Demonstrating expertise in data quality aspects such as Accuracy, Completeness, Consistency, and Timeliness - Conducting Data Validation, Cleansing, Profiling, and Governance activities - Utilizing ETL Tools like Talend, Informatica, and SSIS - Proficiency in SQL, Metadata Management, and Data Lineage - Applying AI/ML techniques for Anomaly Detection & P...

Job Title: Lead Data Scientist Location: Pune, India Experience: 6+ years Job Description: We are looking for a skilled Data & ML Platform Engineer to drive performance tuning, system reliability, and automation across our data infrastructure. You'll collaborate with development teams, manage data platforms, and lead capacity planning efforts. A strong focus on operational excellence, automation, and scalable system design is essential. Key Responsibilities: Analyze OS/application metrics for performance optimization and fault resolution Collaborate on testing, release, and CI/CD for data services Lead capacity planning and platform management initiatives Automate processes and uplift infras...

As a Security Researcher at Microsoft Security, you will be responsible for analyzing vulnerabilities in Microsoft's products and services to determine their root cause, severity, and security impact. Your role will be crucial in shaping the security updates deployed to customers and informing offensive and defensive security research within the team. Key Responsibilities: - Analyzing vulnerabilities in software and services to determine root cause, severity, and security impact - Identifying variants of vulnerabilities and discovering new vulnerabilities - Building tools and inventing new approaches to automate the discovery & analysis of vulnerabilities - Analyzing trends in vulnerabilitie...

Job Description: Join GlobalLogic and become a valuable part of the team working on a significant software project for a world-class company providing M2M / IoT 4G/5G modules to various industries such as automotive, healthcare, and logistics. Your role will involve contributing to the development of end-user modules" firmware, implementing new features, maintaining compatibility with the latest telecommunication and industry standards, as well as analyzing and estimating customer requirements. Key Responsibilities: - Apply machine learning algorithms to existing operational data (logs, metrics, events) to predict system failures and proactively address potential incidents. - Implement autom...

Role Overview: As an Engagement Manager, Fraud Analytics with over 10 years of experience in banking and financial services, your role will involve leading and mentoring a team of fraud analysts, data scientists, and engineers. You will be responsible for developing and implementing fraud detection models using machine learning and statistical techniques. Your proficiency in SQL and Python will be crucial for extracting, analyzing, and interpreting fraud trends from large datasets. Additionally, you will collaborate with risk management, compliance, and technology teams to strengthen fraud controls and optimize real-time fraud monitoring systems. Key Responsibilities: - Lead and mentor a tea...

As a Data Quality Assurance Engineer at Morningstar, you will play a crucial role in ensuring data accuracy, integrity, and consistency within the data systems of the Managed Investment Data (MID) team. Your responsibilities will include developing quality frameworks, executing data quality checks, and implementing AI/ML-based data checks to identify patterns and anomalies in financial and investment datasets. Additionally, you will automate data quality processes to uphold high standards of data governance and compliance with industry regulations. Key Responsibilities: - Develop and implement data quality frameworks and automated validation processes. - Design and execute statistical checks...

About Atos Atos is a global leader in digital transformation with c. 78,000 employees and annual revenue of c. 10 billion. European number one in cybersecurity, cloud and high-performance computing, the Group provides tailored end-to-end solutions for all industries in 68 countries. A pioneer in decarbonization services and products, Atos is committed to a secure and decarbonized digital for its clients. Atos is a SE (Societas Europaea) and listed on Euronext Paris. The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of s...

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Profile Design & Implement AIOps Solutions : For RFPs and existing infrastructure. Data Analysis : Identify patterns, anomalies build predictive models. Event Correlation & Anomaly Detection : Link related events detect unusual patterns. Self-Healing Mechanisms : Automate resolution of com...

About our group: The Global Quality AI/Process Control (AI/PC) team is focused on leveraging data science and machine learning to detect anomalies, improve predictive insights, and link upstream CTQs/KPIVs to reliability outcomes. We develop reproducible AI pipelines and scalable models that contribute directly to manufacturing and product reliability improvements. About the role - you will: Develop and test anomaly detection methods (z-score, IQR, clustering, ML-based outlier detection, time-series anomaly methods) for ORT/COH datasets. Assist in benchmarking anomaly detection approaches against engineering rules (e.g., red/yellow dot sweeps, column swipes). Build reproducible Python/KNIME ...

You are seeking a highly motivated and detail-oriented Data Analyst to join your team. You will play a key role in cleaning, analyzing, and summarizing complex datasets collected from surveys, interviews, mobile applications, and secondary data sources. - Clean, transform, and validate raw survey and app-collected data for use in analysis and visualization. - Conduct descriptive and inferential statistical analysis to extract insights from datasets. - Develop clear, concise data summaries and reports for non-technical stakeholders. - Collaborate with the dashboard development team to ensure data accuracy and clarity in visualizations. - Identify patterns, trends, and anomalies in the data to...

Job Title: Senior Data Scientist About Trellix: Trellix, the trusted CISO ally, is redefining the future of cybersecurity and soulful work. Our comprehensive, GenAI-powered platform helps organizations confronted by today's most advanced threats gain confidence in the protection and resilience of their operations. Along with an extensive partner ecosystem, we accelerate technology innovation through artificial intelligence, automation, and analytics to empower over 53,000 customers with responsibly architected security solutions. We also recognize the importance of closing the 4-million-person cybersecurity talent gap. We aim to create a home for anyone seeking a meaningful future in cyberse...

Overview: At Mastercard, were building the future of intelligent infrastructurewhere data science meets automation, and AI drives operational excellence. We are looking for a Senior Data Scientist to join our Engineering team and lead the transformation of massive operations datasets into predictive insights and autonomous systems. This role is ideal for someone passionate about building scalable machine learning solutions, developing Large Language Models (LLMs), and pioneering agentic AI systems that optimize engineering workflows and decision-making. Role : As a Senior Data Scientist, you will: Analyze large-scale operations data to build predictive models for system performance, anomaly ...

Role Overview: As a back-end engineer at Google, you will be utilizing your expertise in Machine Learning to combat abuse and ensure user safety. Your role will involve collaborating with domain expert analysts to set up data pipelines, develop machine learning models, and enhance automated review and detection systems. You will also work on integrating online/offline systems with various Google platforms to gather signals, features, and verdicts. Additionally, you will lead projects across different teams within the organization, providing guidance on solutions and execution. Key Responsibilities: - Utilize Machine Learning knowledge to combat abuse and enhance user safety. - Perform integr...

In a company like Microsoft, passionate innovators collaborate to envision endless possibilities in a cloud-enabled world. As part of the Business & Industry Copilots group, you will play a crucial role in shaping the future of Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, and Microsoft Industry Solution. This rapidly growing organization is at the forefront of designing and delivering business applications, making Microsoft a leader in Software as a Service. **Key Responsibilities:** - Implement scalable data models, pipelines, storage, and transformation solutions for real-time decisioning and reporting. - Utilize machine learning models to dr...

Role Overview: At o9 Solutions, we are looking for individuals who are eager to apply their expertise in machine learning techniques to contribute to our mission of digitally transforming planning and decision-making for enterprises. As part of our team, you will have the opportunity to work on cutting-edge AI-driven solutions that drive real value for our clients and the planet. Key Responsibilities: - Apply a variety of machine learning techniques such as clustering, regression, neural nets, and time series analysis to address real-world business challenges. - Develop and optimize models for demand sensing, forecasting, optimization, anomaly detection, simulation, and market intelligence. ...

Founding Applied Research Scientist (PhD) Industrial Intelligence Platform Location: Mumbai (preferable) | Type: Full-time | WHO THIS IS FOR PhD (or final-year PhD) in AI/ML/CS (or related) who wants their work running on real production lines. You care about solid theory, and you care even more about measurable impact on uptime, yield, and energy. WHY THIS ROLE Own the 0?1 research agenda for edge inference, time-series modeling, and controland see it in production quickly Work directly with founders and pilot customers across chemicals, pharma, food, steel, and energy Early equity with real upside, plus the autonomy to choose methods and tooling to hit performance targets WHAT YOU'LL DO Ta...