Global Data Work Placement – (4 - 6 Month Work Placement) at Bloomberg

Top Employer
Duration
Placement (5-9 Months)
Application Deadline
Ongoing
Regions
Central London and City
Role May Involve
Information Technology

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“Once I had received the necessary training I started dealing straightaway with the day to day tasks that a typical Installations employee would undertake, and over the 10 weeks I built up and managed a international client base…” - Read full review

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Global Data Work Placement – (4 - 6 Month Work Placement)

You're the type of person who loves unstructured data. You have probably run projects at university or for yourself with data scraped from the web or a social media platform. You are passionate about natural language processing and have practiced applying some of the main NLP methodologies for yourself. You are a fast learner and are excited by the challenge of working in a stripped down Linux environment with access to state-of-the-art computing resources.

A key aspect of our work as part of Bloomberg's Global Data department is finding, extracting, and understanding the data in financial documents. To aid this process we develop machine-learning algorithms to classify financial documents or extract key pieces of information our clients are interested in. We use state of the art big data and machine learning technologies such as Spark, GPU clusters and machine learning libraries like scikit-learn and tensorflow in our work.

You will develop algorithms in this technology stack that add meaningful value for our clients. Example projects could include the full range of NLP problems from classification, to named entity extraction, to sentiment analysis. We will expect you to take the lead on your work and collaborate with stakeholders to find opportunities for the application of NLP in our business.

We will trust you to:

  • Take ownership of your projects under the guidance of your mentor
  • Come up with innovative applications of NLP in our business
  • Liaise with internal stakeholders
  • Write production code
  • Expand on our existing classification and data-point extraction solutions

You'll need to:

  • Be comfortable working in a bare bones Linux environment
  • Be able to write python to a high standard (we will consider people who can write Java, C++, or R as well)
  • Be studying for a degree where you study machine learning, stats or NLP
  • Have availability to commit to the entire 4 to 6 month work placement, ideally starting before June 2019
  • Have availability to start a full-time position after the work placement

It would be great if you had:

  • Experience using Spark
  • Experience of GPU computing
  • Experience of developing neural networks

Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!

About Bloomberg

Born in 1981, 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. Our customers around the world rely on us to deliver accurate, real-time business and market information that helps them make important financial decisions.

What began as an idea to bring efficiency to buyers and sellers of the bond market has evolved into the central nervous system of global finance. We are a forward-looking, ever-evolving company focused on building products and solutions needed by our clients. We are passionate about collaboration. We innovate in real-time. We create tools that our customers need, before they know they need them. We find answers to questions they didn't even know they should ask.

How to apply

To apply for this role and to find out more, please click on the apply button.