Role overview
- 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
Responsibilities
- 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
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.
About the company
- 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