Lead Data Scientist
July 21
🔄 Hybrid – London
Description
• Development and delivery of production ready ML models to power targeted advertising on UKTV Play • Development and delivery of propensity models to classify viewers for marketing campaigns • Consumer Lifecycle Value modelling and analysis • Forecasting business performance and involvement in target setting Ad hoc projects which will include understanding viewing behaviour including customer segmentations • Provide insights and data products to support decision-making across the business (VOD, Linear TV, Marketing, Commercial etc) working in close collaboration with our Insight & Strategy teams • Identify ways to improve data sources (e.g. metadata) and data quality using algorithmic techniques • Stay up to date with industry trends and best practices in data science, analysis methods, data modelling, and visualization tools. • Educates the organisation both from technology and the business perspectives on new approaches, such as testing hypotheses and statistical validation of results. Helps the organisation understand the principles and the maths behind data science processes to drive organisational buy-in • Responsible for ensuring that the information used is in compliance with the regulatory and security policies in place • On occasion you will get involved in pan-BBC projects which will involve leading projects and influencing outside of the UKTV teams. You will collaborate, share learnings, and influence peers with industry and sector expertise. This is likely to involve collaboration with the Data Science team at BBC Studios and the teams responsible for maintaining and developing the BBC Studios Data Platform. • Lead, develop and motivate a small team dedicated to applying data science at UKTV.
Requirements
• Substantial experience managing data scientists • Proven experience in managing large scale data science projects from scoping to production • Demonstrated experience using machine learning algorithms. • Strong programming skills and statistical modeling experience (like Python or R) • Familiarity with cloud-based data storage and analytics platforms (e.g. Snowflake, AWS, Azure, GCP) • Strong knowledge of A/B testing, statistics and wider measurement & data analysis methodologies including digital analytics (e.g. Google, Adobe, Piano). • Solid understanding of data and analytics engineering practices & technologies (e.g. dbt, AWS Glue, other ETL and reverse ETL tools) • Bachelor degree in mathematics, statistics, economics, computer science or related field; Master degree preferred OR similar knowledge gained through relevant experience. • The ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets. • Proficiency in the use of statistical packages. • Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms. • Proficiency in integrating and preparing large, varied datasets and architecting specialised database & computing environments • Able to simplify complex problems into component parts and deal with them systematically • Able to effectively delegate, manage your own time and prioritise accordingly often working on multiple projects simultaneously • Trust own judgement in unprecedented situations, and deliver opinion with gravitas, particularly when results contradict common beliefs • Able to develop strong relationships with senior stakeholders and manage their needs. Adept at collaborating across departments • Able to communicate effectively using both technical and non-technical language as appropriate to stakeholders at all levels. • Strong attention to detail, great critical thinking skills and ability to work under pressure • Demonstrates excellent people management and motivational skills • Lives and role models UKTV’s values
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