Data Scientist Internship Programme

Data Scientist Internship Programme

LIDA launched the Data Scientist Internship Programme in September 2016, as part of our commitment to developing data science capability and driving multidisciplinary data analytics research.  The eight appointed interns are currently working alongside researchers from across the University on a variety of projects. 

The 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 training opportunities in statistical analysis, visualisation, research methods and computer programming
  • Work alongside leading scholars as part of the LIDA team and gain valuable work experience

 

See all

Real time simulation of daily travel patterns

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Large-scale evolutionary analysis of the transcriptome of poison arrow frogs

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Investigating factors behind low or zero household recycling rates in Leeds

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Dynamic Data Assimilation in Agent-based Models

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

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Intern Profiles

Name: Ed Berry

Education: BA in Natural Sciences (Psychology) from University of Cambridge

How I became interested in data:

Following my undergraduate degree I completed a PhD in Developmental Psychology at the University of Leeds, which involved assessing memory and attention in primary school aged children. I quickly became interested in the programming and data analytic techniques that would allow the effective analysis of these data. Throughout my PhD I developed my data science skills to support my ever-increasing interest in data and programming. I also led seminars on programming and statistical topic, allowing me to share my interest with others. During my PhD I learnt the importance of open data to effectively communicating research, making data available for my publications.

 

Skills and experience I hope to gain from the internship:

The LIDA internship provides an opportunity to develop my data science skills in a setting that is built around collaboration. Working with a range of partners from academia and industry will develop my ability to apply my skills to practical problems. I also aim to expand my repertoire of analytic techniques, particularly with respect to machine learning. Additionally, I hope to develop my understanding of how these techniques can be employed in commercial and academic settings.

 

Where I hope to be in three years:

I hope to be applying data science techniques to interesting problems where both practical results and technical rigour are vital.

Name: Cathy Tomson

Education: MSc Data Science and Analytics from University of Leeds

How I became interested in data:

After years of struggling to get the courage to take driving lessons as a result of a childhood car accident, I was introduced to the world of self-driving autonomous cars that could completely change the way we use vehicles. While the research and development is continuing and all current vehicles are required to have a manual override, the notion of fully self-operating cars was intriguing. It peaked my interest in big data, the way it can be harnessed and how it offers invaluable access to insights never before available and prompted me to join a MSc course in the field of Data Science and Analytics in the University of Leeds.

 

Skills and experience I hope to gain from the internship:

During my internship with LIDA I hope to gain a better understanding of the structure and needs of an effective data science team from working alongside experienced academics and fellow inters and collaborating with various external partners. Additionally, I hope to learn Python, gain more practical experience with unstructured data and big data as well as improve my data mining and analysis skills, by not only working on two separate data science projects but also attending various training sessions, seminars and events.

 

Where I hope to be in three years:

In three years’ time I hope to have a research based role and to have taken on the responsibilities of a team leader in a company based in Switzerland.

Name: Aniuska Domínguez

Education: Msc in Data Science from City University of London

How I became interested in data:

As a curious person I have always been interested in gaining insight into the inner nature of things or underlying problems. Before getting into data sciences, I worked as a software developer for various companies and a research institute. In the later, I worked in an AI project using the traditional rules-based approach.

After I moved to the UK, it was difficult for me to get into really interesting projects which led me to pursue a Master’s degree here. During the study of the Data Science Master degree, I learnt more interesting approaches of AI such as machine learning and other advanced techniques. I believe that my MSc. in Data Science offers me a great opportunity to foster my interest in uncovering patterns from data in the UK.

Skills and experience I hope to gain from the internship:

I will enhance my data analytics and visualisation expertise during my internship at LIDA, having the opportunity to work with multidisciplinary team of professionals and researchers as well as the fellow interns. I will learn by doing with the assistance of a knowledge specialist supervisor and have also the opportunity to polish my skills via training courses. I hope to work with a variety and interesting datasets in different contexts to get hands-on experience in data analysis, achievement in real-world problems and gain domain knowledge.

Where I hope to be in three years:

In three years’ time, I see myself as data science senior in a research role. I hope to have competitive advantage in the job market thanks to the skills I will accomplish from my LIDA internship.

Name: David Marshall

Education: BSc in Economics from the University of Nottingham

How I became interested in data:

As part of my degree I undertook a dissertation which involved analysing the Brexit vote. During this I explored the vast amount of (free) data available and the ways in which data can be applied to economic theory using regression analysis. From this, exploration of both aggregate and individual level data gave me an insight into the reasons people voted the way they did. I was fascinated by the way data can be used to determine and predict the decisions people make.

Skills and Experience I hope to gain from the internship:

I hope to improve my skills as a data analyst by becoming familiar with new analytical and big data software. I hope to switch from considering the data analysis in an academic perspective to one which is much more policy or business focused. Working alongside fellow interns from a variety of different backgrounds will hopefully allow me to gain an insight into the ways data can be used in fields I am unfamiliar with such as health and genetics.

Where I hope to be in 3 years:

I hope to use take the skills learned over the course of my degree and the internship to gain a role within the civil service or a research role with a think tank.