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    Data Scientist - London, United Kingdom - Ipsos

    Ipsos
    Ipsos London, United Kingdom

    Found in: Talent UK C2 - 6 hours ago

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    Description

    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 behaviour
  • 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 realise 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 recognise 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.

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