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Senior Data Scientist (Financial Data, Time-Series, NLP)

Premium Job From Understanding Recruitment
Recruiter: Understanding Recruitment
Listed on: 13th January
Location: London
Salary/Rate: £80,000 - £120,000
Type: Permanent
Start Date: ASAP

Senior Data Scientist (Financial Data, Time-Series, NLP)

We are currently looking for a Senior Data Scientist (Financial Data, Time-Series, NLP) to join a global organisiation who have built a cutting edge research lab in Central London, where they will be disrupting the foundations of NLP, Machine Learning and Information Retrieval to change the game in the finance industry.

As a Senior Data Scientist, you will be working with cutting-edge technologies, pushing the state-of-the-art, and transferring technologies applied to real world, large scale problems, in particular for the financial markets. This Data Scientist will have the chance to work independently and collaboratively, with some of the best minds across the business.

The Senior Data Scientist will be working alongisde a team as they will continue to write spotlight papers at the top journals and conferences, as well as working closely with the Product Management and Software Engineering teams. The team here have a history of solving complex problems and identifying new opportunities within financial data and Machine Learning.

What we can offer a Senior Data Scientist (Financial Data, Time-Series, NLP):

  • Collaborate with leading professionals in the market
  • To work in a high profile worlwide organisation
  • Strong salary and package offered
  • Flexible working environment and hours
  • Central London

Key Skills:

Role: Senior Data Scientist (Financial Data, Time-Series, NLP); Data Science, Research, Researcher, Data Scientist, Natural Language Processing, NLP, Statistics, Statistical Machine Learning, ML, AI, Machine Learning, Python, C++, Programming, Development, Bayesian Inference, Time Series, Big Data, Java, Finance, Financial, Trading, Deep Learning, Computer Vision

Contact Name: Anna Heneghan
Reference: TJ/6919/BBBH1522_1578937979
Job ID: 2781398



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