Senior Data Scientist Harrow/London

Are you looking to develop a career in one of the world’s largest Research Agencies?

Intro ….

Ipsos MORI are specialists in people-based insight, employing qual and quant techniques including surveys, neuro, observation, social media and other data sources. Our philosophy and framework centre on building successful businesses through understanding brands, media, content and communications at the point of impact with people.

Ipsos Audience Measurement

Ipsos Audience Measurement is one of Ipsos’s global specialisms. Its core research expertise lies in counting and profiling viewers, listeners, readers and users of media. The Audience Measurement data and service is used by marketers and media agencies to manage and measure their advertising investment in media and by the media to help price their product, trade with advertisers and schedule content.

Ipsos Audience Measurement Data Science Unit

The Data Science Unit has been created in Ipsos in direct response to the way the converging media and advertising market is moving. Their remit reflects the growing industry importance of Big Data, passive measurement technologies, complex modelling, data visualisation, data integration and calibration methodologies. The unit is at the very heart of Ipsos projects and provides an important central resource covering large media industry measurement contracts, syndicated surveys and ad hoc insight projects.

The role ….

This team are primarily based in Harrow but there is also the opportunity to work from London and as part of this team, we are looking for a Senior Data Scientist to manage and deliver advanced analytics and data science elements of complex research projects and to continue to develop and extend their skill set.

Reporting to the Head of Data Science, the role will involve working on projects for a multitude of clients within Ipsos covering range of industries – television, radio, print, online, outdoor, mobile, entertainment, music, telecoms and technology.

What you’ll be doing ….

• Identifying, developing and co-ordinating new product areas for the Data Science Unit, including:
  • Developing advanced data integration techniques
  • Developing and implementing customised modelling solutions
  • Understanding and utilising Big Data
  • Constantly improving our advanced analytics capabilities utilising the newest statistical and mathematical methods and techniques
  • Enhancing our expertise in the area of passive measurement

• Providing hands-on technical support including advanced analytics, probability modelling, data integration, automation and programming of tasks on projects across the UK and global business, but in particular on the UK media industry contracts such as BARB, PAMCo, RAJAR, Route and BBC Cross Media Measurement
• Developing specifications and providing technical input into complex data driven solutions
• Specifying analysis and programming requirements for internal development teams or external third-party software developers
• Contributing to or writing proposals that require advanced analytics and data science elements
• Representing Ipsos at client meetings where technical matters are discussed
• Presenting to internal or external stakeholders including competitive pitches
• Writing technical development papers and presenting in research topics at conferences
• Providing internal and external training where appropriate

About you ….

• Solid applied statistical/analytical/programming experience in similar roles, ideally within the market research or media and advertising industry or related data driven environment.
• High standard of knowledge / experience with programming in R statistical computing environment is a key requirement
• A thorough understanding of applied statistics including probability modelling, distribution fitting, time series analysis, multivariate analysis etc.
• Candidate needs to be comfortable with mathematical probability theory
• Experience in advanced data integration techniques such as data fusion, “look-alike” modelling and propensity modelling.

Preferred qualifications

• Prior experience with or exposure to audience measurement
• Experience with machine learning techniques
• Experience with Bayesian modelling
• Experience and understanding of marketing mix modelling
• Knowledge of other major statistical computing and/or general programming environments is a plus (Python, SAS)
• Understanding of the application of relational structures and databases including knowledge of SQL
• To be able to think logically about complex problems relating to their work. To be not afraid to develop new ideas and concepts relating to data science and its application in the research world.
• Able to write clear and precise technical documents.
• Strong stakeholder management skills as you will be expected to liaise regularly with internal and external stakeholders.

About us ….

Ipsos is one of the world’s largest research companies and currently the only one primarily managed by researchers. With offices in 88 countries, Ipsos brings together research, implementation, methodological, and subject-matter experts from around the world, combining thematic and technical experts globally with local knowledge to deliver top-quality research.

We value team accomplishments and we believe in leaders who set good examples. Our values (Integrity, Curiosity, Client First, and Entrepreneurial Spirit) are based on our diverse cultural backgrounds, helping us to be responsive, client-focused and flexible.

We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We 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. We understand the importance of commitments you may have outside of work and we consider all flexible working applications - please highlight what you are looking for when you make your application.

If this is what you are looking for from your next role, we look forward to hearing from you!