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Head of Data Science

3 months ago

London, United Kingdom Nesta Full time

**We are recruiting for two Head of Data Science positions**

**About Nesta**

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.

**The role**

**The team**

**Key Responsibilities**:
**The head of data science will be expected to**:

- Identify, scope, and lead the delivery of high-impact data science projects that help to deliver the organization's missions;
- Develop deep domain expertise in at least one of Nesta’s missions, and proficiency or context awareness in the others;
- Build and manage a team of skilled analysts, data scientists, and engineers, fostering a culture of innovation, collaboration, and continuous learning;
- Oversee the development of clear, engaging, robust communications to convey data-driven insights to both technical and non-technical audiences, internally and externally;
- Develop and maintain strong relationships with stakeholders across the organization and externally, advocating the value of great analysis in driving policy and social impact;
- Collaborate with other disciplines to ensure the effective integration of data science into broader mission projects.

**The person**:
**Essential Skills**:

- Programming in python and operating in a cloud-based tech stack;
- Experience using GitHub for version control;
- Experience in delivering high-impact data science or engineering projects, with a proven ability to identify and scope opportunities for data-driven innovation;
- Strong leadership and management skills, with the ability to build, inspire, and develop high-performing team;
- Excellent stakeholder management and communication skills;
- Deep expertise in analytical or data science methods;
**Desirable Skills**:

- Domain knowledge in a field relevant to one of Nesta’s missions;
- Experience in shaping and scoping the role of data science within broader multi-disciplinary projects;
- Understanding of ethical and legal frameworks surrounding data science including QA processes and data protection;
- Demonstrated ability to quickly build contextual competence in new domains and effectively communicate with stakeholders;
- Passion for using data and data science to drive positive social change and improve public services.

**What we offer**

**Salary**: £75,400 - £85,300 plus array of benefits, including private medical insurance, dental insurance, the ability to buy and sell annual leave, eyecare vouchers and more

**Location**: This role is based in London, hybrid working arrangement with a minimum of two days in the office

**Term**: Permanent

**Hours**: This is a full-time role but we offer a range of flexible working arrangements and encourage our people to take advantage of them. Many do.

**Reports to**: Director of Data Science

Interviews will take place **w/c 22nd of July 2024.**

**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.

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.