Key Responsibilities : Collaborate with stakeholders to understand business requirements and develop solutions that meet those needs. Create detailed BRDs and FSDs for new projects and initiatives. Develop and execute project plans, including timelines, resource allocation, and risk management strategies. Ensure successful delivery of projects through effective change management practices. Provide ongoing support to clients and internal teams as needed. Training of end users Job Requirements : Strong understanding of planning, data, and project management methodologies. Familiarity with change management principles and techniques. Masters/Bachelor's degree in a related field (e.g., Computer Science, Information Technology) preferred but not required. Certifications and training for insurance in India will be preferred
Role & responsibilities The role is responsible for developing products for health claim automation and developing algorithms for solutions to control fraud waste and abuse in health insurance. Preferred candidate profile Mus have experience is claim investigatiuon, claim quality assessment, medical coding, basic knowledge of data science
Job Responsibilities Designs, codes or configures, tests, debugs, deploys, documents and maintains applications using a variety of software development toolkits, unit testing/verification applications and other tools, while adhering to specific development best practices and quality standards. Responsible for troubleshooting and issue analysis, as well as coding, testing and implementing software enhancements.
Job Responsibilities Develop responsive user interfaces using the Angular framework for both web and mobile browsers. Work closely with web developers and backend engineers Create high-performing, responsive, and interactive web applications Unit-test the code and debug the application. Create custom directives and components. Work with web designers or Figma images and convert it to web pages Good debugging skills. Qualifications Associate/bachelor's degree in information technology, Computer Science or other relevant fields Minimum 3 years of experience in Angular Having good practical knowledge of Angular life cycle Having good practical knowledge of Angular routing Handle data transfer between multiple components Having experience of working on Angular 13 to Angular 18 Good knowledge of typescript and JSON Good to have GIT Good knowledge Experience building responsive layouts with CSS and HTML. Good API skills technology such as Rest Webservice Good English communication skill (verbal and written) Work experience in the Insurance industry is a plus Role & responsibilities
1. Position Summary We are seeking an experienced and highly motivated Senior Project Manager to lead a critical, large-scale project focused on implementing an advanced fraud detection system . The successful candidate will be responsible for the entire project lifecycle, managing cross-functional teams, overseeing the integration of Machine Learning (ML) models for fraud analytics, and ensuring timely, compliant, and impactful delivery. This role requires, strong technical acumen in Data Science coupled with exceptional Project and Stakeholder Management skills. 2. Key Responsibilities A. Project and Program Management Lead the planning, execution, monitoring, and closing of the complex fraud detection project, ensuring adherence to scope, budget, and timeline. Develop comprehensive project plans, including detailed work breakdown structures (WBS), resource allocation, and risk management strategies. Manage project documentation, track progress against milestones, and conduct regular project review meetings. Implement and champion Agile/Scrum methodologies tailored for a Data Science/ML development lifecycle. B. Stakeholder and Communication Management Serve as the primary point of contact and liaison between the project team, client, technical specialists (Data Scientists, Engineers), and senior management. Proactively manage and communicate expectations, project status, risks, and issues to all internal and external stakeholders through clear and concise reporting. C. Technical Oversight and Data Science Delivery Provide leadership and guidance to the Data Science team, ensuring the effective development and deployment of Machine Learning algorithms for healthcare insurance claims fraud detection (e.g., anomaly detection, predictive modeling). Must have prior hands-on experience managing data science projects with ML inclusion and understand the nuances of the ML lifecycle (e.g., data ingestion, feature engineering, model training, validation, deployment, and monitoring). Oversee the Data Analytics pipeline, ensuring data quality, integration, and preparation are optimized for ML model consumption. Drive the design, development, and maintenance of interactive Tableau Dashboards to visualize fraud patterns, model performance metrics (Precision, Recall, AUC), and operational insights for both technical and non-technical stakeholders. D. Infrastructure and System Knowledge Possess foundational knowledge of infrastructure and server environments (cloud or on-premise) necessary to host and scale the ML models and data pipelines. 3. Required Qualifications A. Education and Experience Minimum of 5+ years of progressive experience in Project or Program Management. Proven track record of successfully leading at least one full-cycle Data Science project where Machine Learning models were a central component of the solution (e.g., fraud, risk, or recommendation systems). Educational background must include a B.E. / B.Tech. or MBA from a reputed institution. PMP/PRINCE2 certification is a strong plus. B. Technical and Domain Skills Deep understanding of Machine Learning algorithms and their application in fraud detection or similar classification problems. Expert proficiency in Data Analytics and the ability to interpret complex data insights. Demonstrated experience in developing and presenting insights using Tableau Dashboards (or similar advanced BI tools). Working knowledge of data infrastructure, SQL, and concepts of server deployment/maintenance.
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