Data Scientist Internship Programme

Data Scientist Internship Programme

Data Science for Public Good

LIDA launched its Data Scientist Internship 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 fifth year, the Programme currently has fourteen talented interns, 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.

The Internship Programme provides the opportunity for interns 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

Meet this year's cohort of interns (2020/21)

Stuart Ross

Academic and personal background

My name is Stuart, I am 24 years old and am from a small town in Connecticut, USA. After completing my BSc degree in Ecology from the University of Queensland in Australia, I spent the next year working as a Marine Ecologist. I quickly took advantage of the hole in the field when it came to skilled data analysts and software engineers, but I wanted to push my skills beyond that of just marine ecology. I took my passions further by completing an MSc in GIS at the University of Leeds where I got great hands-on experience working with Machine Learning and Big Data. Since then I have completely fallen in love with Data Science and intend to pursue a career in it.

What do you hope to get out of your internship?

Besides getting a chance to improve my coding and machine learning skills, I am excited to really dive into my own long-term Data Science projects. These projects will give me the chance to work through the whole Data Science process, from data acquisition, to cleaning, to determining the best model, and finally presenting my work.

I am also excited by the fact that LIDA is the perfect stepping stone between the academic and industry worlds. I know that my time as an intern will allow me to work with industry project partners, while still having the academic feel of a university setting.

Where do you see yourself in 12 months’ time?

I hope to take my Data Science skills into industry. I want to work on larger more complex problems where I can further improve my abilities and skill set. I will be happy wherever I end up as long as I can continue to grow and learn!

Tom Albone

Academic and Personal background

I recently joined LIDA to pursue my interests in data science and healthcare research.  Since completing my undergraduate degree, I have worked in child protection services, completed a PGCE in Primary Education and studied part-time for an MSc in Geographical Information Systems from the University of Leeds. My industry experience includes developing flood maps for high resolution digital terrain models and working as an analyst in healthcare research, where I used a range of technologies to measure and interpret patient, staff and service user experience across different sectors. I have discovered a real passion for projects that use data analytics to empower individuals or communities and support key policymakers with decision making.

In my spare time, I love distance running, completing several marathons and ultramarathons. Making healthy choices has always been important if I want to continue taking part in these events. I relish opportunities to synthesise my passion for this with data science to help answer questions about the links between public health and lifestyle choices.

What do you hope to get out of your internship?

Ultimately, I hope to enhance my existing industry experience of data analytics and research with the extensive knowledge base at LIDA.  I am particularly keen to combine my experience with GIS and data analysis with more advanced techniques, such as machine learning, to expand my horizons of what data science can achieve and how it can be used for the benefit of society.

Working with public and private healthcare sector clients has been extremely rewarding and I am eager to develop a broad toolbox of analytical techniques and programming languages, such as Python and R, to meet the requirements of bespoke research projects. Furthermore, I would also like to develop a wider network of professional contacts through the learning and development opportunities available at LIDA.

Where do you see yourself in 12 months’ time?

I am a big believer that success comes from achieving lots of small goals, one step at a time. It is an approach that has helped me develop positive relationships and gain valuable experience in prior employment. I will spend the next 12 months adding to my data science skills and cultivating a broad network of professional relationships so that I can take full advantage of any opportunities, whether I continue in academia or return to industry. I would love to work for an organisation that uses data science to help shape public health policy through innovative research methods.

Examples of Intern Projects 2019/20

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Early economic modelling and budget impact analysis of Prolaris® test to aid the treatment management decisions in prostate cancer patients

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Identification of Clinical Factors Associated with Poor Surgical Outcomes in a Primary Care Dataset

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Does fabric tactility affect clothing product sales?

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An area classification of consumer vulnerability in the UK

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Application of natural language processing for identification of online hate on Twitter

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Assessing the effectiveness of the e-petition procedure through Twitter conversations

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Catch! – real time simulation of daily travel patterns

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