Lead/Senior Data Scientist - Ad Tech Locational Data

Make Your Mark at Ipsos

The Audience Measurement team at Ipsos uses a deep understanding of people to make sense of audiences and how they consume media. 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 a Senior Data Scientist for our flagship account, Out Of Home – Route.

Your work will be pivotal to the Route project's long-term success. You will form part of the Out-of-home leadership team, taking ownership of key product areas, engaging and communicating with stakeholders, both internal and external

We are seeking someone with a strong background in location, geospatial data. You will need to have expertise in R, Python, SQL and Google Cloud Platform. Ideally you will have a academic background in Physics and Mathematics

What is in it for you?

This role is a central role in the day-to-day work of our specialised Out-of-Home data science team. 

The opportunity to enhance your business leadership skills The chance to influence and shape solutions from strategy to deployment You will form part of the Out-of-home leadership team, taking ownership of key product areas, engaging and communicating with stakeholders, both internal and external The chance to developing and deliver 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 The opportunity to coach mentor and develop others

The Role:

This is a ”hand—on” role with line reporting responsibilities. 

You will be 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 and deliver a market leading synthetic population  Developing and maintaining production quality data science software and pipelines systems for our out-of-home audience measurement contracts Manipulating complex data from different sources and data processing in R, Python, SQL and Google Cloud Platform Developing independently machine learning models and developing data science software according to DevOps procedures and cloud deployment of production quality models Advising the product team and stakeholders on how to use the data and analysis and communicating methodology and results

About you:

A strong academic background, managing experience and multiple years of work experience in a range of mathematical / physical models / statistical models / machine learning methods, including:

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 working with cloud computing environments such as GCP (mandatory) , AWS and Azure Experience in git with collaborative development of data science workflows / products through DevOps 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 Previous line reporting and the desire to develop further as a people leader is a pre-requisite  Comfortable at line managing and organising the workload and support the career development of other data science members of the team

Benefits:

We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range of health & wellbeing, financial benefits and professional development opportunities.

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. We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week.

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 are proud to be a member of the Disability Confident scheme, certified as Level 2 Disability Confident Employer. We are dedicated to providing an inclusive and accessible recruitment process.