Data AI Trainer
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Job Summary
Data AI Trainer
Location
London
Business Area
Data
Ref #
Description & Requirements
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients around the clock - from around the Data we are responsible for delivering this data news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems products and processes.
The Team
At Bloomberg our team is responsible for onboarding our junior data engineers as well as providing learning opportunities to develop the skills of our nearly 2000 Data employees. We collaborate with all teams across Data to ensure that we deliver the highest quality educational development. We also roll up our sleeves to create our own training and applied exercises. You can support our purpose by preparing Data teams with the confidence to apply AI tools into data processing workflows responsibly and effectively. The work we accomplish will contribute to AI products used by external Bloomberg clients.
We strive to make our curriculum exciting for both trainers and trainees; we use interactive technology peer learning and a highly collaborative team culture to ensure success for everyone. We encourage participation and provide opportunities for trainees to learn from each other and the professionals within Data.
Well Trust You To:
- Design and deliver training that enables teams to evaluate process changes - such as adopting new data pipelines switching validation methods or implementing AI-assisted workflows - and quantify their impact on dataset quality and business outcomes.
- Create hands-on labs where teams design experiments on real Bloomberg datasets testing pipeline changes evaluating new tools and measuring quality improvements
- Explain core statistical concepts (sampling correlation causation p-values) and AI/ML fundamentals (prompt engineering model validation) in the context of data quality and process optimization
- Incorporate AI-assisted tools into training design and delivery
- Ensure teams maintain the highest standards for data quality observability and governance alongside the implementation of transformative AI technologies
- Partner with engineers and domain experts to ensure were meeting client needs and leveraging the best technology solutions
- Develop self-service materials that enable teams to independently design experiments and adopt new tools
- Stay current with emerging experimentation methods AI tools and financial market dynamics continuously refining curricula to meet evolving Data organization needs and business priorities.
- Commitment to cultivating a continuous learning culture across technical teams
Youll Need To Have:
- 3 years applied experience in applied AI solutions.
- Bachelors degree or higher in Computer Science Engineering Data Science or other data-related field
- Experience mentoring or teaching technical material with a passion for continuous learning and knowledge sharing. Ability to translate technical concepts into clear learning content and documentation.
- Strong communication and teaching abilities a proven track record explaining complex quantitative concepts to both technical and non-technical audiences through clear examples and hands-on exercises
- Ability to identify learning needs through stakeholder consultation and translate them into scalable practical training solutions
- Understanding of data quality metrics (accuracy completeness timeliness) and concepts (data observability governance) and how to assess them through statistical methods
- Proven problem-solving skills and adaptability in evolving fast-paced environments
- Collaborative approach to partnering across global teams and aligning with business priorities
- Effective project management skills to develop and manage a roadmap and deliver milestones in a timely manner.
- Ability to flexibly adapt to a changing environment
- Interest in financial market datasets and their application to data and AI solutions
Wed Love To See:
- Familiarity with modern data tools and frameworks (e.g. Airflow Dagster dbt Spark cloud data platforms)
- Certification in DAMA CDMP EDM DCAM or similar
- Examples of technical content youve created whether documentation tutorials presentations or internal training materials
- Hands-on experience with financial data market data or other business-critical datasets
Does this sound like you
Apply if you think were a good match. Well get in touch to let you know what the next steps are.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture values and the people behind our success.
Required Experience:
IC
About Company
Bloomberg is the world's primary distributor of financial data and a top news provider of the 21st century. A global information and technology company, we use our dynamic network of data, ideas and analysis to solve difficult problems every day. Our customers around the world rely on ... View more
