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Permanent

Job Vacancy
Cyber Engineering 12 month Internship - National Crime Agency - EO

Government Digital & Data
Published on
microsoft

£36k-40k
England, United Kingdom
A Data Scientist working within the NCCU will utilise technology to aid investigations, exploiting modern machine learning techniques with the best data science tools to cause real world impact against cyber criminals. They will collate and manipulate large datasets to create analytical products that inform NCA operational delivery and will play a key role in embedding the use of data science across the Agency. Our Data Science team make extensive use of Python; some awareness of AWS would be beneficial too. A Cyber Engineer will work in one of the following teams depending on expertise: Cloud Engineering, Cryptocurrency Cell, or Research & Development. You will make a direct contribution to Operations through the use of technology. This will range from the development and deployment of capabilities covered under the Investigatory Powers Act, through to systems to analyse and exploit data at pace. Our Cloud Engineers work predominantly in AWS and Python. For Cryptocurrency, an awareness of Python and/or SQL would be beneficial in addition to cryptocurrency knowledge. For Research & Development, knowledge of different operating systems (mainly Linux) is essential and some knowledge of Python will be useful. An Infrastructure Investigator utilises their knowledge and the available tools within the NCCU to analyse and identify criminally controlled infrastructure. Supporting operations through analytical products and the production of technical reports to highlight technical or legislative outcomes. In addition to domain knowledge, some knowledge of Python, AWS, or ElasticSearch would be beneficial too. The remit of Cyber Engineering is to research and develop tools to further NCCU operational and intelligence work and create bespoke solutions during “Crime in action” scenarios. Cyber Engineering works across the NCA and with a range of partners to develop this niche catalogue of capabilities. Depending upon your experience – you will work as either a Data Scientist, Cyber Engineer, or Infrastructure Investigator. A Data Scientist working within the NCCU will utilise technology to aid investigations, exploiting modern machine learning techniques with the best data science tools to cause real world impact against cyber criminals. They will collate and manipulate large datasets to create analytical products that inform NCA operational delivery and will play a key role in embedding the use of data science across the Agency. A Cyber Engineer will work in one of the following teams depending on expertise: Software Development, Cryptocurrency Cell, or Research & Development. You will make a direct contribution to Operations through the use of technology. This will range from the development and deployment of capabilities covered under the Investigatory Powers Act, through to systems to analyse and exploit data at pace. An Infrastructure Investigator utilises their knowledge and the available tools within the NCCU to analyse and identify criminally controlled infrastructure. Supporting operations through analytical products and the production of technical reports to highlight technical or legislative outcomes
Contractor

Contractor job
Data Scientist Python Software - London

Nexus Jobs Limited
Published on

£350-500
London, England, United Kingdom
Data Scientist and Python Software Developer - London We're looking to recruit a Data Scientist and Python Software Developer with data science skills to join a product team that is focused on building well engineered products. The products provide an intuitive way for retailers and suppliers to interact and consume 'big data' analytics to make better business decisions. This role would consist of working together with a team of statistical analysts, understanding their methodologies and algorithms, and turning them into production ready code written in Python. This role would also require occasional travel to Paris or Munich. Main skills: Excellent knowledge of Python and it's related data science libraries (scikit, pandas, etc) Prior experience of using Python to perform calculations and generate datasets Good statistical knowledge Excellent communication and decision making skills Exposure to working with REST API's Any of the following skills would be an added bonus: Has run code across Hadoop/MapReduce clusters Has code running in a production environment Used SAS before (or at least can decipher SAS code) Worked with very large data sets before (billions of records) Knowledge of SQL/NoSQL database Knowledge or experience in D3.js Experience acting as a mentor/trainer in Python This is 6 month assignment in London with travel to Paris and Munich. Please send your CV to us in Word format along with daily rate and availability.

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