Advance Search

Browse Jobs

Data Scientist - Audience Measurement

Posted a month ago

  • London, Greater London
  • Any
  • External
  • Expires In 2 months
Role Overview
Are you curious about how we consume technology, content and entertainment? The Audience Measurement team at Ipsos use deep understanding of people to make sense of audiences and how they consume technology, content and entertainment. We use these to influence media strategy, helping clients to answer crucial questions, such as how to target audiences, maximise attention across platforms, enhance audience experience, and demonstrate or increase audience value.
What will I be doing?
This role is a central role in the day-to-day work of our specialised Out-of-Home data science team. Working in this role, you will be:
Developing a market leading synthetic population solution for the GB market, leveraging a data driven approach using deep generative modelling and other state-of-the-art AI and ML methodologies
Developing and maintaining production quality data science software and pipelines systems for our out-of-home audience measurement contracts
Using mathematical modelling and machine learning to simulate travel behaviour and its relationship with sociodemographic and geodemographic attributes
Manipulating complex data from different sources and data processing in R, Python, SQL and Google Cloud Platform
Working in a strong data science team and working alongside data engineering, data operations, product management and domain experts in audience measurement in a highly skilled and supportive environment
Developing machine learning models with senior data science guidance and developing data science software according to DevOps procedures and cloud deployment of production quality models
Take ownership of key product areas, engaging and communicating with stakeholders, both internal and external
Advising the product team and stakeholders on how to use the data and analysis and communicating methodology and results
What do I need to bring with me?
A strong academic background and experience in a range of mathematical / physical models / statistical models / machine learning methods, including:
Supervised and unsupervised learning, simulation, optimisation, graph theory and model validation
Strong intuition and enthusiasm for data including statistical and machine learning principles
Tenacity in problem solving, with particular emphasis on perseverance and following the scientific method
Competence in and interest in using multiple data sources, including wrangling of complex data
Strong Programming background and experience of deployment of production standard code as part of data science workflows: Python or R - writing functionally and/or OOP
Experience in git with collaborative development of data science workflows / products through DevOps
Experience working with cloud computing environments such as GCP, AWS and Azure
Strong team player with ability to work independently, learn and knowledge share
An interest in enriching data sets and modelling human behavior
Bachelors / Masters or equivalent in STEM oriented discipline
What is in it for me?
Ipsos UK offer an attractive basic salary and a rewards package including 25 days annual leave, a pension scheme and a great range of flexible benefits to suit your personal needs. For roles at Research Manager level and above we also offer private healthcare. In addition to this we have a fantastic Learning & Development offer delivered through a mix of face to face, online or on-demand; you can read more by clicking. We realize you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. Ipsos is committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We also recognize that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients.
#J-18808-Ljbffr
Apply