Principal Data Scientist in UK

Principal Data Scientist in UK

Location: UK

Salary: £60,000.00 per year

Recruiter: Nexere Consulting

Date Advertised: 2021-07-22

Principal Data Scientist The Principal Data Scientist will play a leading role across all aspects of data insights, from understanding customer needs, prioritising areas of focus, leading the aggregation and exploration of data, the development of models and garnering of insights, and the translation of these into new services.Key responsibilitiesDrive an effective data insights pipeline Lead the engagement with internal and external customers to understand needs, assess data requirements and availability, curate the pipeline of prioritised opportunities and generate hypotheses to test.Lead the data insight activities using an Agile methodology.Contribute to the development and implementation of analytics policy, processes, standards and guidelines.Maintain a user-focussed delivery approach for insights work, ensuring results are accessible, repeatable and have clear provenance.Actively ensure security is addressed and managed across the data pipeline, contributing to a culture of information security.Champion data science techniques to deliver insights Lead the application of statistical analysis to explore data and highlight any potential data quality issues.Lead the application of Machine Learning and advanced analytics techniques to generate actionable insights from data and text, such as classification and prediction tasks.Develop, deploy and monitor ML models on the Azure cloud.Lead, motivate and coach a team of data specialists to ensure they remain upskilled on tools and techniques and provide a responsive service.Requirements A degree in a maths, science or computer science discipline, an equivalent level professional qualification, or relevant experience.Experience of working with Python, including relevant data manipulation and data science libraries.Experience of working with various types of data, proficient at using SQL for data extraction and manipulation, and Spark for big data analyticsDemonstrable experience of working in teams and using code repositories and testing to optimise development.Demonstrable experience of working with data engineers to evaluate and implement ML deployment options, and the monitoring of performance to ensure continued veracity of model outputs.Demonstrable experience of delivering organisational value through the application of data science and advanced analytics.Demonstrable experience of applying complex data science techniques and principles to a wide and unpredictable range of contexts. Demonstrating creative, innovative and ethical approaches.Demonstrable experience of managing development teams and mentoring others in technical and soft skills.Demonstrable experience of influencing and leading others, in relation to the applicability of data science to various challenges, and landing project outcomes.A collaborative approach to problem solving, with effective communication skills and the ability to explain complex ideas, both formally and informally.Experience of selecting the correct statistics, modelling and data science concepts to deliver a positive outcome.
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