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Developers Placeholder

Data Scientist​

We’re always looking for talented people to join our team!

Data Scientist​

Location

Central London

Job Description
  • Develop biometric, behavioural and contextual authentication models
  • Work as part of an amazing team of like-minded individuals with a can-do attitude to change the world

RESPONSIBILITIES
  • Research and develop statistical learning models for data analysis
  • Collaborate with product management and engineering departments to understand company needs and devise possible solutions
  • Keep up-to-date with latest technology trends
  • Communicate results and ideas to key decision makers
  • Implement new statistical or other mathematical methodologies as needed for specific models or analysis
  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Extending company’s data with third party sources of information
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results in a clear manner

Requirements
  • Able to understand complex data structures and common methods in data transformation
  • Excellent pattern recognition and predictive modeling skills
  • Experience with programming languages such as Java, Python and R an asset
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM and Neural Networks
  • Great communication skills
  • Experience with data visualisation tools, such as D3.js and GGplot
  • Proficiency in using query languages such as SQL
  • Experience with NoSQL databases, such as CouchBase and Cassandra
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Good scripting and programming skills
Bonus Points For
  • Master's Degree in Computer Science, Statistics, Mathematics or related field from a top university
  • Experience with behavioural analytics, voice or facial recognition
To Apply

To apply, email us at recruitment@callsign.com with your CV and contact details.

Equal Opportunities

Callsign is committed to providing equal employment opportunities to all persons. To read our full Equal Opportunity Policy please Click Here.

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