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

 

‘I completed a LIDA Internship working with Sky Betting & Gaming to develop models to identify problem gamblers.  My time at LIDA was essential to my transition from academia to industry.  Working in collaboration with academic and industry partners allowed me to develop my understanding of business challenges, while maintaining a solid academic grounding.  Having the support of academic supervisores helped ensure my work was rigorous; an ethos I have carried over into my current role as a Data Scientist at Sky Betting & Gaming’

Ed Berry, Data Scientist – Sky Betting & Gaming

See all

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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Real time simulation of daily travel patterns

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Intern Profiles 2018/19

Rizwana Uddin

Education:

Bsc in Biochemistry from the University of Huddersfield

How I became interested in data:

My first experiences of data analytics were through lectures at university that taught the use of the R programming language. During my dissertation project I used ‘R’ in combination with SPSS, which I thoroughly enjoyed and lead me to further exploration of the ways that data can be used in medical bioinformatics in addition to healthcare. I was fascinated by the ability to predict outcomes based on data collected in fields such as predictive medicine.

Skills and experiences I hope to gain from this internship:

I hope to further my knowledge on ‘R’ and gain more experiences with handling big data. I also hope to develop skills in using software packages such as ‘Python’ and ‘SQL’ which I have not had previous experiences with. Moreover, I would like to use opportunities of working within a wide multi-disciplinary team to gain experiences of sharing information with both academic personal and the general public as well as gain valuable contacts.

Where I see myself in three years’ time:

Working as a data scientist in medical bioinformatics.

Benjamin Wilson

Education:

Computing BSc Leeds Beckett University

How I became interested in data:

My initial intrigue in data analytics started with reading about new methods in the life sciences and learning how computing has become more important to many forms of research. I realised that I wanted to take a more altruistic approach to my computing career because of this.

I wondered how I might apply my computing skills to work in research and development of assistive technologies. This made me pick up a data science project for the final year of my undergraduate degree. This had been an exciting and challenging adventure. I had looked at various datasets, from neuro-images to climate data. I eventually set the scope to a binary classification project to predict malignancy in tumours to try and grasp the fundamentals and potential of how data may be used today and in the future within the life sciences.

Skills and experience I hope to gain from the internship:

I hope that by the end of this program, I will be able to start my own projects in full confidence having had developed my research skills for a cross-disciplinary career. I wish to understand the contextual areas of data science so that I can better understand what fields I enjoy working in. I also hope to develop my skills in mathematics and statistics.

Where I hope to be in three years:

I would like to be working on the cutting edge of research. Perhaps developing tools and methods for data scientists.