24 Apr

Data Science Fellow Creative Economy Jobs Vacancy at Nesta London

Position
Data Science Fellow Creative Economy
Company
Nesta
Location
London ENG
Opening
24 Apr, 2018 27 days ago

Nesta London urgently required following position for Data Science Fellow Creative Economy. Please read this job advertisement carefully before apply. There are some qualifications, experience and skills requirement that the employers require. Does your career history fit these requirements? Ensure you understand the role you are applying for and that it is suited to your skills and qualifications.

Follow the online directions, complete all the necessary fields, and provide all relevant information so your application is submitted correctly. When you click the 'Apply this Job' button (open in new window) you will be taken to the online application form. Here you will be asked to provide personal and contact details, respond to employment-related questions, and show how you meet the key selection criteria.

Data Science Fellow Creative Economy Jobs Vacancy at Nesta London Jobs Details:

We are looking for a Data Science Fellow to join our team and play a leading role in the design, development and implementation of Nesta’s ambitious programme of data-driven research on the creative industries.

About Nesta

Nesta is a global innovation foundation. We back new ideas to tackle the big challenges of our time. We use our knowledge, networks, funding and skills - working in partnership with others, including governments, businesses and charities to achieve social and economic impact. We are a UK charity but work all over the world, supported by a financial endowment.

The creative industries are diverse, including arts, media and digital industries – an area where Nesta has built up a global reputation for original and impactful research. This includes our Next Gen research, which led to wholesale reforms of computing education in England’s schools, and our research mapping the geography of the UK’s creative industries, which has helped unlock £64m of investment in the creative industries from the Government’s Industrial Strategy Challenge Fund. Recent projects which have attracted keen interest from policymakers include analysis of millions of online job ads data to understand present and future employer demand for skills, analysis of data scraped from company websites to identify firms working with emergent technologies, and a groundbreaking analysis of gender imbalances in the British film industry.

About the role

Our successful candidate will work with a multi-disciplinary team of data scientists, economists and policy analysts to design and deliver data science projects with real-world impacts. You will analyse relevant data using data science methods, including supervised and unsupervised machine learning and natural language processing techniques. You will also:

Identify relevant research questions and address them with data science methods

E xplore opportunities to develop and apply new data science techniques

Co mmunicate findings through conference and peer reviewed papers, research notes, blogs, data visualisations and open source software

Participate in the development of new research proposals for funders, including the UK Research Councils

To secure this opportunity

This role suits a researcher who is seeking to make more direct social, policy and economic impacts from their research than a traditional university environment allows, but without compromising on research rigour. Data scientists with industry experience looking for opportunities to create public value and address complex social and policy challenges will also be interested. You will hold a PhD qualification in a relevant quantitative discipline (e.g. data science, computer science, statistics, econometrics or operations research) or an excellent Master’s degree in a relevant subject combined with relevant professional experience. You will have strong quantitative data processing and analysis skills, plus demonstrable expertise in data science-relevant programming languages, specifically Python or R.

An outstanding communicator, with a proven ability to present research findings in a compelling and credible way, you must be a target and performance-driven individual with a collaborative and flexible approach to work.


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