Currently tracking 25 active AI roles, up 183% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $115k–$451k (avg $239k).
Media · Telecom + media
| Title | Stage | AI score |
|---|---|---|
| Comcast Data Science & Analytics Co-op This co-op role focuses on extracting knowledge and insights from large, complex datasets using data preparation, modeling, analysis, and visualization techniques. The role involves applying advanced statistical analysis, algorithms, predictive modeling, and machine learning to solve business problems and enhance products, with a focus on data preparation and analysis. | Data | 7 |
| AI / Data Engineer 4 – Comcast Global Audit AI/Data Engineer responsible for building, supporting, and maintaining a modern audit data platform that supports advanced data analytics, automation, and artificial intelligence. Focuses on designing scalable, resilient data pipelines and AI solutions with an emphasis on automation, quality, governance, and observability. | Data | 7 |
| Developer 4, Finance Technology Automation & AI This role focuses on leading AI research, discovery, and development within Finance Technology Automation & AI at Comcast. The primary responsibility is to translate emerging AI capabilities into scalable, production-ready solutions that align with enterprise standards. The role also involves acting as a technical partner to finance users, identifying automation opportunities, prototyping AI solutions, and driving adoption of AI tooling. Additionally, the role contributes to cross-functional forums, provides technical leadership and mentorship, and ensures the integrity and alignment of the functional platform with business needs. | Data | 7 |
| Data Scientist 3 This role focuses on developing decision-support technologies for Supply Chain planning and network optimization, leveraging Operations Research, mathematical optimization, and simulation. It also involves building and validating ML models for forecasting, classification, and decision-making, complementing core optimization solutions. The candidate will work with a US-based Data Science team to drive improvements and support technical design. | DataPost-train | 7 |