At a Glance
- Tasks: Lead the development of unstructured data products and translate client needs into actionable plans.
- Company: Bloomberg, a leading financial technology company in London.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborate with experts and work on cutting-edge NLP technologies.
- Why this job: Join a team at the forefront of data innovation and make a real impact in finance.
- Qualifications: Experience in product management and strong communication skills.
The predicted salary is between 59400 - 72600 £ per year.
Bloomberg in London is seeking a charismatic Enterprise Data Product Manager to lead development of unstructured data offerings, including NLP-driven feeds and analytics.
You will work with technologists and financial industry experts to translate client needs into scalable product plans.
You’ll evaluate new data sources, collaborate with engineering on delivery, and communicate complex topics clearly to clients and stakeholders.
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Unstructured Data Product Manager - Enterprise employer: Bloomberg
Bloomberg is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With a strong emphasis on employee growth, you will have access to numerous professional development opportunities while working in a cutting-edge environment that values your contributions to the data manufacturing infrastructure. Located in a vibrant city, Bloomberg provides unique advantages such as a diverse workforce and a commitment to work-life balance, making it a rewarding place to advance your career.
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We think this is how you could land Unstructured Data Product Manager - Enterprise
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Unstructured Data Product Manager - Enterprise
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Bloomberg. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Bloomberg
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
