Bloomberg needs to deliver data, news, and analytics through innovative technology, quickly and accurately, and the Data AI group is responsible for bringing cutting-edge AI technologies into Bloomberg’s Data organization to support compliance monitoring and supervision.
Requirements
- At least 3 years of professional experience in information management, data analytics, or technical project coordination.
- Experience owning the end-to-end lifecycle of a data product, including design, delivery and measurement with a focus on ensuring data meets consumer needs and drives actionable outcomes.
- Strong proficiency in Python (Pandas, NumPy, and data visualization libraries).
- Experience developing or managing annotation programs and training/evaluation datasets for ML or NLP models.
- Basic understanding of HTML, CSS, and JavaScript for maintaining task-presenter tools.
- Prior involvement with distributed data labeling operations.
Responsibilities
- Own and run key query enrichment initiatives, which are predominantly focused on annotation process management from build to execution.
- Apply technical acumen and product mindset to define and drive the strategic evolution of annotation projects, ensuring robust quality metrics are created and utilised to iterate on workflows and performance.
- Collaborate with partners to scope, evaluate, and refine data enrichment tasks.
- Perform advanced business intelligence, metric analysis, and process automation.
- Develop and document reproducible analysis notebooks that clarify results and streamline stakeholder reporting.
Other
- At least 3 years of professional experience
- Proven track record of stakeholder relationship management, communication, and cross-team collaboration.
- Excellent problem-solving and analytical thinking skills with strong attention to detail.
- Ability to translate technical metrics into business insights for product stakeholders.
- Travel and work experience may be required, but not specified
