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£290 - £300 per day + Inside IR35 /Hybrid 3 office days PWRole Summary
· Applied data science research to fight spam, scam, and fraud attacks in SMS, MMS, e-mail, and other mobile telecommunication protocols
· Helping mobile network operators worldwide in localisation, identification, monetization, and prevention of spam and fraud attacks
· Big Data analysis of Voice/SMS/MMS traffic (100 million messages per day)
· Data cleaning and preprocessing (data wrangling), exploratory analysis, statistical analysis
· Machine learning, data mining, text mining in different languages
· Data visualisation and presentation
· Uncovering activities of organised groups of spammers and fraudsters
· Researching new fraud techniques and designing algorithms for their detection and prevention
· Monitoring and preventing virus and malware distribution vectors in SMS/MMS
Key Responsibilities
· Applied data science research to fight spam, scam, and fraud attacks in SMS, MMS, e-mail, and other mobile telecommunication protocols
· Helping mobile network operators worldwide in localization, identification, monetization, and prevention of spam and fraud attacks
· Big Data analysis of Voice/SMS/MMS traffic (100 million messages per day)
· Data cleaning and preprocessing (data wrangling), exploratory analysis, statistical analysis
· Machine learning, data mining, text mining in different languages
· Data visualization and presentation
· Uncovering activities of organized groups of spammers and fraudsters
· Researching new fraud techniques and designing algorithms for their detection and prevention
· Monitoring and preventing virus and malware distribution vectors in SMS/MMS
Job Requirements
· Statistical analysis
· Scripting languages (for example bash, python, perl, lua or similar)
· R-studio
· Machine learning, data mining, data analysis
· Linux/Unix platform
· Critical thinking and strong problem-solving skills
· Willingness to learn new things
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