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Lead Data Scientist


Job Title:
Lead Data Scientist

Job Ref:
1644

Location:
Tower Bridge, SE1

Brand:
ZPG

Discipline:
Data & Analytics

Job Description

The data team at ZPG is a newly formed division which serves the group of brands in 3 areas. It provides data governance. It ensures good (Big) data processes and practices and finally, it draws value from the data through advanced big data analytics for the purpose of personalisation, monetisation, and product optimization.

We have a very exciting opportunity for a lead data scientist in a highly agile, energetic, outcomes based B2C and B2B data environment. This role, reporting to the data and analytics director, will help shape the data science capability throughout the group.

Making good use of machine learning and data science approaches, we aim to improve customer understanding, improve customer experience and build the richest data sets available in our market. We will do so by focusing on generating innovative products and services to deliver sustained competitive advantage for our brand of companies.

The Lead Data Scientist role is an integral member of this team and you will be involved in hands on research and development of data driven solutions to real world problems. The work will encompass both improvements to existing products through innovative use of more advanced techniques as well as development of completely new offerings using Big Data tools.

You`ll be part of a culture that encourages participation and discussion at all levels. You`ll be able to see your impact in what we deliver day-to-day to our consumers.

Responsibilities

  • Research new data modelling, machine learning and data mining techniques for application across functions such as recommender systems, optimisation, pricing, time series forecasting, uplift evaluation and AB testing, Natural Language processing, computer vision, clustering and segmentation.
  • Research and evaluate new datasets like clickstream, geo-location, market research, contextual, undertaking data discovery and exploration to identify opportunities to develop strategies and techniques to improve results.
  • Leverage state-of-the-art big data tools (such as Spark, Python, R) and techniques to build innovative solutions using appropriate modelling techniques and data sets with a focus on implementation.
  • Develop and embed improvements to data science processes, in particular around building, deploying and monitoring.
  • Explore different ways for data visualisation.
  • Look creatively at our data challenges and map out the best approaches to tackle them using the state of art machine learning.
  • Mentor other Data Scientists, Analysts and Data Engineers to implement statistical analyses and data/machine learning pipelines.
  • Act as lead on cross team projects involving multiple stakeholders.
  • Create prototypes for new/improved customer experience features and turn machine-learning outputs into operational data products.
  • Drive the implementation and scale-up of algorithms for bespoke customer experience.
  • Set up and conduct large-scale experiments to test hypotheses and drive product development.

Skills required:

  • Practical experience in relevant machine learning and data modelling techniques used in supervised problems such as decision trees, Random Forests, Gradient boosted machines, linear/logistic regression, deep learning, or unsupervised problems such as clustering and dimensionality reduction. All involving complex/high-dimensional data (e.g. image, text, video, speech, time series).
  • The ability to work collaboratively and proactively in a fast-paced environment interacting with both a non-technical and technical audience.
  • Interest in using ML to drive a meaningful impact to the consumer experience and business.
  • Expertise in one or more programming/scripting languages (e.g. Python, R, Matlab)
  • Good ability to interpret business requirements, translate into data science problems and deliver high value outputs.
  • Ability to work quickly and iterate through trial-and-error, rather than spending an excessive amount of time designing the most robust methodology to deploy at the outset
  • Ability to make data tell a story through data presentation / visualisation tools and techniques

ZPG Plc (LSE:ZPG) ("ZPG") owns and operates some of the UK`s most trusted property and household-related digital brands including Zoopla, uSwitch, PrimeLocation, Money and Hometrack.
ZPG helps empower smarter property and household decisions. It has an unrivalled proposition with its websites and mobile apps attracting over 50 million visits per month and over 25,000 business partners using its services.
ZPG was founded in 2007 and has a highly experienced management team, led by Founder & CEO, Alex Chesterman OBE.