Data Scientist

About the Role

Are you curious about how we consume technology, content and entertainment? The Audience Measurement team at Ipsos uses deep understanding of people to make sense of audiences and how they consume technology, content and entertainment. We use these insights 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.

We are recruiting for a Data Scientist who is passionate about solving problems specifically for our Out of Home Advertising team. We are seeking someone with a passion and high competence for mathematics, statistics modelling/understanding and programming skills working on production quality collaborative projects with emphasis on understanding and use of methods algorithms.

This is not your average data scientist role; this role is about giving you the autonomy to solve problems which directly impact our daily lives whether it is our television viewing habits, radio listening habits to other forms of media consumption. Creative, innovative, passion, flexibility, adaptability, tenacity and agile, these are just some of the words that describe the culture of our team. This is an opportunity for you to make an impact whilst also having a realistic chance to learn and develop your skills further.

You will be an integral member of a team delivering advanced analytics and data science elements of complex research projects and you will continuously develop and extend your skill set. Reporting to a Principal Data Scientist, the role will involve working on state-of-the-art out-of-home audience measurement solutions for domestic and international media markets.

Responsibilities

• 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 model human travel behaviour and demographics.
• Manipulating complex data from different sources and data processing in R, Python, SQL and Google Cloud Platform.
• Developing machine learning models with senior data scientist guidance.
• Writing and maintaining production quality code.
• Engaging with stakeholders across the business (internal and external).
• Managing good professional relationships with clients and internal stakeholders.
• Advising the product team and stakeholders on how to use the data and analysis and communicating methodology and results.

Requirements

• Interest in and understanding of 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.
• Keen to work on hard mathematical/scientific problems with perseverance important.
• Competence in and interest in using multiple data sources, including wrangling of complex data.
• Strong programming and desirable 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 desirable.
• Strong team player with ability and willingness to work independently, learn and to share knowledge.
• An interest in enriching data sets and modelling human and consumer behaviour.
• Bachelors or Masters in mathematically oriented discipline.