Role overview
The successful candidate will bring
- A technical degree, with a focus on data science or statistics.
- Solid experience in data science, ideally in Market research or related role
- Advanced coding in Python and R.
- Solid knowledge of statistical analysis and machine learning techniques.
- Proficiency in Python and experience using Jupyter Notebooks and / or colab for data analysis and modelling.
- Experience in applying respondent level analytics to survey data, and / or in building timeseries econometric models. Ideally in relation to solving brand and marketing questions.
- Strong problem-solving and critical-thinking skills. Effective communication skills to convey complex concepts to both technical and non-technical stakeholders.
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.