Zoopla Jobs – Data Science Lead In Newcastle upon Tyne

Overview

Position Title: Data Science Lead

Company: Zoopla

Location: Newcastle upon Tyne, UK

Job Description:

Responsibilities:

• The Data Science thought leader, you’ll help shape the future of valuation prediction and automation in the industry
• Lead and develop a team of data scientists and collaborate closely with Product, Engineers and Analytics to discover, develop and implement new solutions
• Owning and developing the data science roadmap for model and solution innovation
• Researching and embedding advanced machine learning and AI capabilities across our model and product range
• Implementing new model features and enhancements and provide cross-functional support/training
• Responsible for collaboration across our organisation including with the Zoopla data science and Calcasa data science (our sister AVM company in the Netherlands) teams
• Ensuring timely project delivery including model re-platforming and improving the efficiency of our data builds and implementation of ML solutions
• Ensure model maintenance and reviews are in place including documentation, code-review, ticketing, version control etc. (GIT, Azure DevOps)
• Engage closely with senior stakeholders, external partners and key customers to contribute to product discovery, forge relationships and provide technical expertise and support

Requirements:

• You have advanced training in a quantitative field and significant experience delivering solutions as a data scientist. Ideally you are educated to Masters or PhD level
• You are deeply familiar with data analytics, big data, statistical modelling etc. to design, build and deliver data solutions in a business, academic or equivalent context
• You have experience managing a team of data scientists, while still being involved in hands-on work yourself
• You have experience working in cross-functional teams of Engineers, Product Managers etc. to develop, implement and maintain statistical models
• You have a thorough understanding of statistics and probability theory (distributions, moments, correlation, inference) and previous experience with programming languages and/or statistical and data analysis tools: SQL (highly desired), one of Python/R/Matlab etc.
• You have experience with Machine Learning techniques and ML libraries (e.g. TensorFlow, Scikit-Learn, XGBoost etc.) and affinity with software engineering
• You are familiar with version control principles and systems (Git, GitHub)
• Familiarity with computer vision, natural language processing and/or working with large geospatial datasets is desirable
• Ultimately, even if you are not familiar with some of the above, you are eager to learn, figure stuff out and get things to work