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Lead Data Scientist - Holbeck

Hackajob Ltd · Holbeck, United Kingdom · £100,000 - 100,000 per year

Salary: £100,000 - 100,000 per year Requirements: Significant experience delivering data science projects within a commercial environment and a proven track record of creating value through machine learning and advanced analytics A strong statistical or highly numerate academic background Advanced skills in Python and SQL Experience developing, deploying and maintaining predictive and machine learning models in production environments Experience leading and mentoring Data Scientists within a high-performing team Strong stakeholder management skills with the ability to influence and engage colleagues at all levels Experience working within Agile delivery frameworks and contributing to sprint planning and project delivery An appreciation of data governance principles and data quality management The ability to present complex information through clear and compelling data visualisations, ideally using Tableau Experience of cloud-based data science technologies, ideally including AWS SageMaker, AWS Bedrock and Snowflake, would be highly desirable A passion for continuous learning and staying up to date with emerging data science tools, technologies and practices Responsibilities: Lead a team of Data Scientists and deliver innovative data science solutions that drive commercial value across our business Work closely with stakeholders across the organisation to identify opportunities where data science can enhance decision-making, optimise business processes and unlock new revenue opportunities Lead projects from concept through to production, applying machine learning, statistical modelling and advanced analytics to solve complex business challenges Lead, coach and develop a team of Data Scientists, supporting their technical and professional growth Plan and deliver data science initiatives using Agile ways of working, including sprint planning and progress reporting Develop, deploy and monitor machine learning models and analytical solutions in a production environment Communicate complex analytical findings clearly and confidently to both technical and non-technical stakeholders Identify opportunities to improve data quality, governance and the efficient use of data across its lifecycle Collaborate with teams across our business to maximise the value delivered through data and analytics Help shape the future direction of Data Science within our company by keeping abreast of emerging technologies, tools and methodologies Technologies: AWS Cloud Machine Learnin

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