Senior Data Scientist
This role is responsible for delivering anomaly detection solutions in telecoms networks. You will:
Have 5+ years experience and a strong track record of designing, building and delivering solutions for similar use cases. For example: churn prediction, fraud detection, predictive maintenance and also have an understanding of recommender systems.
Be able to demonstrate value from your previous projects.
Hold advanced qualifications in quantitative disciplines.
Have strong knowledge of application and limitations of a wide range of classification and prediction techniques.
Will be working with large volumes of data and have solid experience working with big data architecture and data flows.
Expert knowledge of R, Python and SQL.
Have the ability to rapid prototype using R-Shiny or Python Django.
Understand agile iterative development and delivery with a "hands on" approach and a "can do" attitude.
Lead solution development.
Be highly disciplined and self-organised, but also a team player.
Have strong communication and presentation skills. Be able to convey complex solutions in simple terms.
Experience in building algorithyms
The following would also be helpful, but not essential:
Data engineering skills with cloud platforms and big data tools.
Knowledge of cloud deployments
Knowledge and experience of the telecoms industry
Experience with business intelligence dashboards such as PowerBI, Qlik & Tableau.Please visit our website
Have 5+ years experience and a strong track record of designing, building and delivering solutions for similar use cases. For example: churn prediction, fraud detection, predictive maintenance and also have an understanding of recommender systems.
Be able to demonstrate value from your previous projects.
Hold advanced qualifications in quantitative disciplines.
Have strong knowledge of application and limitations of a wide range of classification and prediction techniques.
Will be working with large volumes of data and have solid experience working with big data architecture and data flows.
Expert knowledge of R, Python and SQL.
Have the ability to rapid prototype using R-Shiny or Python Django.
Understand agile iterative development and delivery with a "hands on" approach and a "can do" attitude.
Lead solution development.
Be highly disciplined and self-organised, but also a team player.
Have strong communication and presentation skills. Be able to convey complex solutions in simple terms.
Experience in building algorithyms
The following would also be helpful, but not essential:
Data engineering skills with cloud platforms and big data tools.
Knowledge of cloud deployments
Knowledge and experience of the telecoms industry
Experience with business intelligence dashboards such as PowerBI, Qlik & Tableau.Please visit our website