Over the past ten years, Wood for Trees has improved the fundraising efficiency and value of some of the UK's best-known not-for-profit organisations, working with clients' data and database systems to make them better informed and more effective. In a wider context, we consult on strategic development, protecting and enhancing our clients' revenue streams for the future. We've built a reputation for providing valuable insight, strategic advice and pragmatic action that can have a significant effect on the bottom line. We are also expanding our analysis services and data science capabilities to support other areas of operational performance and assessment within the third sector such as impact reporting, digital transformation and management dashboards across the organisation.
We are in need of a Data Scientist to join our growing team. The ideal candidate will have an in depth understanding of data science techniques and their applications in a commercial setting. This is an opportunity for the successful candidate to take the next step in their career. They will become a part of a team that develops analytical tools, influences our product development and delivers insights to clients. We are looking for someone who:
The Data Scientist will work with the Analysis Director, the Analysis team and the wider organisation to deliver internal and external data science projects. The work will require a combination of basic analytical methods as well as the latest data science techniques. The successful candidate will have a responsibility to ensure that work is delivered on time, within the scope and provide value for our clients.
As a Wood for Trees Data Scientist, you will be empowered to develop, implement and support internal research and development. You will also need to deliver external projects and consultancy to our clients. Applying knowledge and experience, the successful candidate will build our AI/Data Science portfolio to support winning future work. As part of this varied role, you will also contribute to bid and proposal writing.
The successful candidate will have a love of problem-solving and be comfortable working collaboratively. They should have the confidence to build relationships with both internal teams and external customers, and the ability to communicate effectively with both technical and non-technical audiences
Skills and Experience