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Big Data Scientist – Docklands London Our Client an international organisation is looking to recruit a Big Data Expert with 2 to 5 years expertise as a Big Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/ mathematical models, predict and segment data to hypothesize/ evolve uses cases to monetize data and generate other business value. Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes An MSc or PhD in Data Science or an analytical subject (Physics, Mathematics, Computing) or other quantitative discipline would be handy. The position is based in the Docklands London. This is a 3 to 6 month contract assignment. Please send your CV to us in Word format along with daily rate and availability details.

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.

Data Scientist – Manchester Our Client an international organisation is looking to recruit a Data Scientist with 7 to 10 years expertise as a Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/ mathematical models, predict and segment data to hypothesize/ evolve uses cases to monetize data and generate other business value. Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes MSc or PhD in Data Science or an analytical subject (Physics, Mathematics, Computing) or other quantitative discipline The position is based close to Manchester. The salary for this position will be circa £75K - £85K plus benefits. Please send your CV to us in Word format along with salary and availability details.

Big Data Scientist - Expert – Manchester Our Client an international organisation is looking to recruit a Big Data Expert with 7 to 10 years expertise as a Big Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/ mathematical models, predict and segment data to hypothesize/ evolve uses cases to monetize data and generate other business value. Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes An MSc or PhD in Data Science or an analytical subject (Physics, Mathematics, Computing) or other quantitative discipline would be handy. The position is based close to Manchester. The salary for this Big Data Scientist position will be circa £75K - £85K plus benefits. Please send your CV to us in Word format along with salary and availability details.

The role of the Associate Data Governance Manger is to acquire and manage the supply of administrative and/or commercial data for the functions of the Office for National Statistics including, but not limited to: the transformation of key ONS programmes; Census; Economic Statistics; Surveys; and making data available across government and externally for research in the public good through Trusted Research Environments and supporting the Devolved Governments with access to data for their own statistical and research needs. You will also be responsible for the implementation of the ONS data strategy, either through having a direct lead on implementation, or through linking areas of your work to the outcomes of the strategy, including developing and contributing to an end-to-end data governance framework (the processes, operational policies and standards needed to support data management) and ensuring that the organisation can demonstrate standards for data governance accreditation. Job description The Data Acquisition Division supports ONS, Government and Academic analysts answer the questions of the day by working with data partners to negotiate and enable access to sustainable data sources, putting in place, maintaining and managing data governance frameworks for safe data sharing and usage, and implementing and supporting the data strategy. It involves understanding and consolidating analysts’ requirements for producing and developing their statistics, matching these with the available data, negotiating access to these data for statistical and research purposes, and making tactical recommendations on the creation of data assets. Successful delivery will put in place robust processes and documentation, working closely across Data Acquisition, the directorate and the rest of the organisation. It also involves implementing the data strategy both directly and indirectly, ensuring that all Data Acquisition activity contributes to the wider aims of the Office for National Statistics. Ensuring and demonstrating compliance with Data Governance frameworks, standards and accreditations. Data Acquisition lead and support on the negotiation and development of agreements with external parties and enable bringing these data into ONS, working to deliver mature data governance processes that deliver sustainable data for ONS’ needs. You will apply relevant data and ethical frameworks and standards to your work, understanding data governance good practice. Specifically, providing advice to users on the technical, ethical, data protection and security, and legal aspects (e.g. GDPR) of using administrative data, and the benefits of using it. You will be able to grasp economic and social statistical concepts quickly, identifying common needs for administrative data and communicating appropriately and clearly between technical and non-technical audiences. You will understand data and how they can be prepared for, and used in, statistics and research and how they can benefit policy and decision making, as well as understanding the economy and society better. You will need to build and demonstrate a good understanding of administrative data and how it is used in the production of official statistics and research. Responsibilities Support the process of capturing stakeholder needs, assessing, defining and justifying those needs to arrive at a definitive set of user requirements that are reflected in the required documentation. Support the stakeholder engagement activity of acquisitions within your remit. Support the preparation of documentation for data sharing and governance, for example memorandums of understanding and business cases, and play an instrumental role in standardising this documentation. Develop a good understanding and application of data sharing legislation to get maximum return for ONS. Have a broad understanding of data use and be able to explain this to a non-technical audience. Identify, understand and communicate factors that influence and shape data and present in a way appropriate to the audience. Maximise the use of administrative data for statistics through your understanding of the value of these data, including what is already available to use in ONS and what the wider landscape of data can provide. Develop and maintain the data acquisition project plan to capture all requirements, deliverables and risks that are associated with the project. Proactively identify your own development needs, ensuring that you deliver your responsibilities to the highest possible standard. Contribute to activity that benefits the strategic aims of the division or directorate, ensuring it is the best possible place to work.

Our client is looking for a DBA with experience in database technologies and good understanding of SQL/Oracle development. This is a contract role initially for 6 months with good possibility of extension. Please note that this role is fully onsite in Milton Keynes 5 days week. Due to nature of the role DV + NPPV3 clearance is required. Essential Experience Required: * Experience in database technologies and a good understanding of SQL/Oracle development and scripting tools; Oracle DB Architecture, Performance, Database Intallation & Configuration * Experience in database administration, including back-ups, maintenance, performance monitoring and troubleshooting, security management, patch management * Experience in implementing high availability setups such as Always on HA, Mirroring, log shipping and Microsoft Clustering. * Excellent knowledge of the Microsoft SQL Server Stack - SSMS, SSAS, SSIS & SSRS. * Experience working on Linux * Able to work to tight deadlines and changing priorities. * Strong knowledge of Microsoft SQL Server internals and core database functionality (indexes, schemas, triggers, etc.) * Good understanding of database architecture and database design. With a view to carrying out the following: * Installation, Configuration, Maintenance, Performance of DB systems - SQL and Oracle * Monitor & maintaining and tuning databases to optimise availability of server as well as troubleshooting performance. * Creating suitable Database alerts as well as proactively monitor and responding to alerts * Troubleshot performance and connection issues. * Build environments based on standards and best practices that would align to operational and business requirements. * Monitor database maintenance scripts for backups, index rebuild/defragment, and database statistics. * Producing, maintaining, and ensuring backup and recovery procedures are functioning correctly. * Application Implementation, IT application and applications support, technical support, problem solving, technical documentation, communication * Support of application Installation, configuration, maintenance * Availability for out of hours support as part of a support rotation.