Cyber Platform Implementation Team

Tender description

Why the Work is Being Done As part of the Cyber strategy the Engineering team deliver data platforms and analysis tools to develop insight into cyber crime. A large number of systems are currently in operation and the project will pull these sources into a single logical source; improve analysts tools and access to information by providing clear, accurate and interactive tools. Develop data pipelines and consolidate currently held information, speed up analysis processes. To be complete within 9 months. Problem to Be Solved Combine NCA and external data sources so they can be searched and analysed. This includes, threat updates and current data repositories. Who Are the Users As a Data Scientist I need to analyse multiple data sources at once so that I can quickly analyse and visualize my findings to make recommendations to the business. As an investigator, I want to be able to reduce the time developing actionable insights. As a compliance manager, I need to be able to manage and oversee data to ensure activity is compliant with relevant legislation. Early Market Engagement Work Already Done From November 2016 to April 2017 the unit ran an ‘Alpha’ Stage. The pilot successfully built a minimum viable product of the data platform bringing a small number of data sources; together in a centralised data repository and facilitated at speed analysis. The system is based on AWS including; TitanDB, Spark and Elastic Search. The system is designed to run at Official Sensitive classification Existing Team The main contacts are in the NCCU capability development and engineering teams. The Alpha stage was staffed with 5 business analysts, architects and software engineers Current Phase Alpha Work Location The NCA, Spring Gardens, Tinworth Street, Vauxhall, London Working Arrangments Supplier are expected to supply individuals at different stages of the project based on different skills sets. Depending on the backlog, there will be work required around business analysis, data engineering, web front end/ UI development and creation of analysis tooling. Team size to be around 4 people, expertise in design, development and delivery of cyber data systems. Work a mix of onsite and offsite working. Envisaged technical phases to be done remotely. 1-2 members of the team probably be required onsite working in an agile fashion with NCA teams. Travel expenses should be included in the cost proposal Security Clearance SC Clearance Additional T&Cs Freedom of Information (full clause will be issued on award of contract) and limiting the NCA's indemnity to £100,000 Skills & Experience 2 or more projects working with clients on big dat and data analysis products Specific experience of AWS ecosystem (EC2, Lambda, DynamoDB, API Gateway, OQS) Knowledge of Graph Databases, Graph Analytics and linked data Experience of Python, Scala, Javascript, CSS and HTML Knowledge of data flows and accusations (queues, API's and ETL Processes) Demonstrable experience of Data taxonomies and ontologies including data modelling and data management Subject expert knowledge in data analysis tools Demonstrable knowledge of UI and UX Excellent stakeholder engagement, to liaise with teams and to Understand existing systems and data Business analysis skills ability to work with client development teams following agile practices and iterative development projects Demonstrate how to support and maintain the pipeline for the beta phase Nice to Haves Cyber Crime/Cyber Security Knowledge including threat data Experience of building cyber threat system No. of Suppliers to Evaluate 3 Proposal Criteria Methodology or approach to delivery and support Technical capability Subject matter expertise timeframe proposal Risks, assumptions and challenges identified added value experience in big data solutions Knowledge of cyber threat arena estimated timeframes for the work knowledge transfer value for money Team Structure Cultural Fit Criteria Share knowledge and skills Be transparent and collaborative when making decisions take responsibility for their work subject matter expertise work in partnership with flexibility Payment Approach Capped time and materials Assessment Method Written proposal Evaluation Weighting Technical competence 50% Cultural fit 15% Price 35% Questions from Suppliers Budget range