We are Nesta, the UK’s innovation agency for social good. We design, test and scale solutions to society’s biggest problems. Our three missions are to give every child a fair start, help people live healthy lives, and create a sustainable future where the economy works for both people and the planet. For over 20 years, we have worked to support,…
Position : Data Science Fellow
Grant Funding available : £44,600
Duration : Fixed term 12 month contract Nepal
Closing Date : 18 August 2021, 8 a.m. (UK Time)
Are you an analytical, driven and collaborative problem-solver with a proven track record of data analysis and using supervised and unsupervised machine learning techniques? Are you passionate about using data science and machine learning to further community empowerment in humanitarian crises?
As part of a UK Humanitarian Innovation Hub funded Fellowship, Nesta is looking for a Data Science Fellow to work alongside two International Federation of the Red Cross (IFRC) National Societies, in Nepal and Cameroon, on pilot solutions, and contribute to the development of data analysis and machine learning models that inform and sit within prototype Collective Intelligence (CI) solutions.
We are Nesta, the UK’s innovation agency for social good. We design, test and scale solutions to society’s biggest problems. Our three missions are to give every child a fair start, help people live healthy lives, and create a sustainable future where the economy works for both people and the planet.
For over 20 years, we have worked to support, encourage and inspire innovation. We work in three roles: as an innovation partner working with frontline organisations to design and test new solutions, as a venture builder supporting new and early stage businesses, and as a system shaper creating the conditions for innovation.
Harnessing the rigour of science and the creativity of design, we work relentlessly to change millions of lives for the better. Find out more at nesta.org.uk
About this exciting opportunity
This key role offers the successful fellow a rare opportunity to join an international and multidisciplinary team and contribute to one of the first attempts to develop and test new methods for involving affected populations and frontline responders in the development, evaluation and utilisation of humanitarian predictive models. You will focus on designing new approaches to deploying machine learning in new AI tools for emergency response, and be responsible for the development of data science and machine learning components of these ‘participatory AI’ tools. You will also be expected to:
What we offer
Financial Support: The total funding available for this fellowship is £44,600 over the 12-month period.
This Fellowship is implemented as fixed-fee payments. Fellows are responsible for arranging and paying for all of their own personal and work-related taxes, insurances, or other fees needed during the Fellowship assignment.
Location: This role is based in Nepal
Term: 12 month fellowship
Hours: The post envisages a full time commitment (37.5h per week) for the full duration of the project.
What we are looking for
An impressive communicator, both verbal and written, you will be able to communicate technical findings in an effective and compelling manner to a wide-array of audiences, and possess a familiarity and understanding of discussions around ethics in data science and AI. A commitment to open-source community-centred design and operations is vital, as is a flexible, professional and collaborative approach to your work. We are looking for an English speaker.
Closing date: 8:00am (GMT) on 18th of August 2021.
At Nesta, we believe that a diverse workforce leads to an organisation that is more innovative, more creative and gets better results.
We want our workforce to represent the diversity of the people and communities we serve. We also want our workplace to be one where different experiences, expertise and perspectives are valued, and where everyone is encouraged to grow and develop.
This means that when we are recruiting, we actively seek to reach a diverse pool of candidates. It also means that we are happy to consider any reasonable adjustments that potential employees may need to in order to be successful.
We recognise the importance of a good balance between work and home life, so we do everything we can to accommodate flexible working, including working from home, compressed or part-time hours, job shares and other arrangements.
Please just let us know in your application or at any stage throughout the process (and beyond) if these are options you would like to explore.