This listing was posted on Manatal ATS.
Data Scientist
Location:
Cambridge, Cambs
Description:
We are looking for an enthusiastic individual who likes seeking new data challenges in a proactive manner where the opportunities to make a difference are there to be grabbed!We cover a wide variety of sectors such as Food, Healthcare, Built Environment, Aerospace, and partner with both public and private organisations to make our world safer, more secure, and resilient. Responsibilities: Engage with data owners across the organisation to identify data analysis opportunities to ethically leverage BSI business data and drive solutions. Mine and analyse BSI-wide data to drive optimization and improvement of product development, marketing techniques, and business strategies. Conduct end-to-end analysis that includes scoping, data gathering, ongoing deliverables, and presentation. Develop and present demonstrations and prototypes to communicate the opportunities presented by data analysis in BSI. Maintain a portfolio of tools and technologies to ensure that BSI is prepared to leverage a diverse range of both structured and unstructured data and continually assess their efficiency and accuracy. Continually review BSI's portfolio of projects to identify where data generated can contribute to insights. Develop a companywide testing framework, as well as testable hypotheses in conjunction with domain experts from the business followed by appropriate algorithms and data models. Perform speculative analysis of data sets. Advise the business about metrics and the collection of data. Engage with stakeholders to ensure that data insights are effectively communicated through the most appropriate data visualisation and navigation tools. Use predictive modelling to increase and optimize business outcomes. To be successful in the role, you will have: Educated to degree level in mathematics, computer science, or engineering. A relevant postgraduate qualification (Essential) Strong statistical analysis skills Knowledge of Mathlab or R Knowledge of predictive models Strong scripting skills (Python, NumPy) Knowledge of ETL techniques and tools Knowledge of 'big-data' architectures such as Hadoop Strong relational database skills - SQL, stored procedure, development, and a knowledge of database development Knowledge of open-source tools such as Elasticsearch, Kibana Experience in the analysis of both structured and unstructured data Proven ability to take initiative in a data analysis role. Ability to quickly assimilate data structures and relationships across data sources. Excellent communication and presentation skills Strong interpersonal skills and a proven ability to elicit requirements from both technical and non-technical stakeholders. Please use the below link for job application and quicker response. https://lifelancer.com/jobs/view/26a711fa11b6254a3364fa0cf1decc45
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