Data Scientist Development Programme

Data Scientist Development Programme

Data Science for Public Good

LIDA launched its Data Scientist Development Programme in September 2016, as part of its commitment to developing data science capability and driving multidisciplinary data science for public good.  Now in its sixth year, the Programme currently has nine talented Data Scientists, drawn from a wide range of academic disciplines and backgrounds, who are passionate about finding data science solutions to complex, real-world challenges. They are currently working alongside researchers from across the University on a variety of projects. You can read about the current cohort by clicking on ‘Meet this year’s cohort’ below.

This Development Programme provides the opportunity for its Data Scientists to:

  • Own delivery of a data science project and get hands-on experience using real data
  • Establish links with project partners and work to provide solutions to real-world challenges
  • Build skills and knowledge in advanced analytics
  • Participate in on-site and external training opportunities in statistical analysis, visualisation, research methods and computer programming
  • Work alongside leading scholars as part of the LIDA research community and gain valuable work experience

Applications to join the Programme for the September cohort have now closed for 2022-23.

Development Programme Recruitment FAQs

Read about former LIDA Data Scientist Rosalind’s experience and quick hacks for getting the most out of this Programme

Meet this year's cohort

 

2021-22 Programme Projects

 

Cohort 5 Biographies

 

Previous Projects

 

Meet the LIDA Data Scientist Development Programme Academic Advisory Group (LIPAG)

Meet the LIDA Data Scientist Development Programme Academic Advisory Group (LIPAG)

LIPAG is made up of a diverse membership of academics from across the University of Leeds and it reports directly to LIPAG Chair, Assoc. Prof Michelle Morris. Its remit is to support the delivery of the Programme’s operations, as well as formulating the Programme’s research strategy. It provides the opportunity, not only for senior, but also for junior academics at the University of Leeds to support the training and development of early career Data Scientists through robust academic assurance of this Development Programme. It also represents a key internal networking opportunity, in line with the Programme’s aim to promote interdisciplinarity.

 

What do our Data Scientists say about the Programme?

Programme Case Studies

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Healthy Choices, Healthy Lives: The Local Food Environment – Holme Wood as a case study

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Spatial analysis of the COVID-19 pandemic in Bradford Metropolitan District

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Children’s Urgent Care Provided in the Right Place Every Time

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Local Data Spaces

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AuguR: a scalable open-source interactive cancer analytics web application for routinely collected data

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Bradford’s mental ill health epidemic

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New insights into workplace and retail dynamics for England and Wales

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Low birthweight and ethnicity in the Bradford Better Start area

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Models of readmission to intensive care units perform poorly in external validation

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Building and analysing cohorts within the OMOP common data model

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Identifying early life predictors of dental decay in Bradford’s young children

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Leeds City Council Ambient Pop under COVID-19

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Improving the speed and ease of cohort creation and analysis.  

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