Spectra Interviews: Callum Reekie, PhD Data Science Intern

Spectra Interviews: Callum Reekie, PhD Data Science Intern

Spectra Interviews: PhD Data Science Internships, Callum Reekie

What attracted you to the data science internship?

Throughout my PhD I have worked with large datasets that have required me to use code-based models and data manipulation methods to extract meaningful scientific information. The technical challenge of designing and

implementing computer models has been the most enjoyable aspect of my PhD and I was excited to find that data scientists do this as a career. The internship offered by Spectra provides an opportunity for PhD students to get valuable experience in this field. Not only does the internship offer traditional data science training but also allows you to learn the full lifecycle of developing a data analysis solution.

What is the culture like at Spectra?

Spectra has a fantastic, dynamic working environment. All of the staff are friendly and approachable, regardless of their position or the projects they are working on. There are regular team building exercises which allow the intern not only to get to know colleagues but also feel part of the team. Crazy golf was a particular highlight! Regular ‘stand-ups’ also allow you to learn how your work is contributing to the overall projects that the business is working on.

What was the best part of the internship?

It became apparent to me that effective data science is not just pure AI, but also learning how these models are integrated into user applications. Being given the chance to learn web application development alongside industry-level machine learning has been my favourite aspect of the internship. This has given me valuable insight into not only how to develop effective machine learning models but also deploy these models for others to gain valuable insights from their data.

What was the worst part of the internship?

Choosing a ‘worst’ part would be a challenge! There were none. However, to give an answer – because of the fast-moving projects that the business works on, you are ‘thrown in at the deep end’ with regards to web-app development. There is certainly a learning curve involved and it might take time based on your skill level but it is certainly positive in the long run.

Will the internship help you with your PhD?

Absolutely. I have applied a small amount of machine learning in my PhD written in embarrassingly shambolic scripts. Learning best practices for developing machine learning models as well as an opportunity to learn deep learning will allow me improve this work.

Would you recommend the internship?

110%. I come from a slightly unconventional background (PhD Earth Science) compared to typical routes into this industry. However, the training and support I have received from the entire team at Spectra and the amount I have learned in the space of 3 months has been outstanding. I cannot recommend this internship highly enough for PhD students who want industry experience in data science.

1379 777 Spectra Analytics

Marcus Ong

Marcus Ong PhD FIMA

Chief Executive Officer

Marcus is the CEO and Co-Founder of Spectra. Passionate about using AI to transform businesses and society, Marcus founded Spectra to help enable and promote the benefits of Artificial Intelligence. As an experienced data scientist, he’s worked in both academic and professional settings, and is a Fellow of the IMA.

Marcus is an external academic supervisor at the University of Warwick and a Fellow at the Institute of Mathematics and its Applications. He was previously a Derivatives Trader for Citigroup, as well as an NCA Special for the National Crime Agency, where he advised on the applications of Machine Learning and Data Analytics.

Marcus holds a PhD in Complexity Science with Finance and an MSc in Complexity Science from the University of Warwick, a BSc in Physics from the University of Durham, and a Charters in both Mathematics and Science from the Institute of Mathematics and its Applications.

Youssef Taleb PhD


Youssef Taleb PhD

Senior Data Scientist

Youssef is an experienced Data Scientist and full-stack developer. He has developed AI-powered products for a diverse range of industries from defence to healthcare and marketing. He is passionate about finding creative ways to solve problems and using cutting-edge models and technologies.

Youssef holds a PhD and MSc in Statistics from Imperial College London, and an MEng in Telecommunications from Telecom SudParis, Institut Mines-Telecom.

Chris Crowther SIRA


Chris Crowther SIRA

Chief Information Officer

Chris is the CIO of Spectra overseeing information assurance and security. He has over 25 years experience and is CESG Certified as a Professional Lead Security and Information Risk Advisor (SIRA)

Chris’s experience includes senior roles within the UK military and other Government departments, the US Military and Federal Government, the United Nations, KPMG and Airbus.

Christelle Nagabe

Christelle Nagabe

Junior DevOps Engineer

Christelle is a Junior DevOps Engineer. Her main focus is managing, supporting, and developing CI/CD pipelines and Infrastructure-As-Code in order to ensure Spectra’s products are efficiently automated and robust.


Sean Conner

Shareholder Representative

Sean is an experienced financial professional, who has worked in the capital markets for over 30 years. He represents and looks after the interests of shareholders on the Board.

Robert Brady PhD


Robert Brady PhD

Non-Executive Director

Robert is advises Spectra on Business Development. He has extensive business experience having previously listed his company, Brady PLC the largest European supplier of software for global commodity trading, on the London Stock Exchange.

Robert is the Treasurer of the Cambridge Angels and was previously an Honorary Fellow of the Cambridge Judge Business School, and an Industrial Fellow at the University of Cambridge’s Computer Laboratory.

Rob Eyre PhD


Rob Eyre PhD

Senior Data Scientist

Rob is an experienced Data Scientist and full-stack developer. He focuses on the development of AI solutions and the products that utilize them.

Rob holds a PhD and MSc in Complexity Science from the University of Warwick, and an MSci in Theoretical Physics from University College London.

Prof. Robert MacKay


Prof Robert MacKay FRS FIMA FInstP

Advisor

Robert is the Director of Mathematical Interdisciplinary Research at Warwick and its Centre for Complexity Science, which includes its doctoral training centre. He is a Fellow of the Royal Society (FRS) Renowned Fellow of the Engineering and Physical Research Council “Recognising Influential Scientists and Engineers” scheme.

Robert’s principal research interests are in the statistical behaviour of complex dynamical systems, and he aims to shed light on the concepts of emergence, tipping points, and nudges. He is currently involved in research projects on Management of Complex Systems, Energy Storage, Behavioural Science, and Internet Science.

Prof Robin Ball


Prof Robin Ball FInstP

Advisor

Robin is an Emeritus Professor of Theoretical Physics at the University of Warwick, after previously being the Head of Physics. His principal research interests include statistical physics with an emphasis on self-organising systems. Examples of this are fractal aggregates, polymer microstructures, protein folding, dynamics of fracture and granular, and colloidal materials.

Matt Fleming


Matt Fleming

Data Engineer

Matt is a Data Engineer specialising in building robust, scalable, and cloud-based data pipelines for machine learning applications.

Joe Withers

Joe Withers

Data Engineer

Joe is a Data Engineer at Spectra. He develops scalable data pipelines and is interested in working to improve data reliability, efficiency, and quality.

Gwynneth Derere


Gwynneth Derere

Product Manager & Employee Representative

Gwynneth is the Product Manager and Head of Training for PATCHS. With over 10 years of experience, Gwynneth is an accomplished clinical systems product specialist. She has expertise across requirements management, implementation, and software training. Previously, Gwynneth worked across a wide range of care settings with health professionals, delivering and supporting market leading software.

Dr Ben Brown, MBChB


Dr Ben Brown PhD

Chief Medical Officer

Ben is the Chief Medical Officer of Spectra Analytics, as well as a practicing GP and a Senior Lecturer at the University of Manchester.

Ben is an expert is developing advanced analytical clinical software. His work has been published in over 40 peer-reviewed scientific papers, and he has won awards from the International Medical Informatics Association, British Computer Society, and Royal College of General Practitioners.

In addition to his medical training, he has qualifications in Health Informatics (PhD), Public Health (MPH), and Leadership (MSc).

Charlotte Watson PhD


Charlotte Watson PhD

Data Scientist

Charlotte focuses on developing custom AI solutions, and has a keen interest in improving AI transparency and usability.

Brendan Spillane PhD


Brendan Spillane PhD

Advisor

Brendan is a representaive for Warwick Ventures. He focusses on busines development and building sales pipleines for startups.

Dr-Daniel-Sprague


Dan Sprague PhD

Chief Technology & Science Officer

Dan co-founded Spectra Analytics with Marcus in 2014, and has led as Chief Technology Officer and Chief Science Officer since its founding. Dan leads the Data Science and Data Engineering teams at Spectra, overseeing the Artificial Intelligence, software development, and technology infrastructure.

Dan is also an external academic supervisor at the University of Warwick, and was previously a consultant for USAid.

Dan holds a PhD and MSc in Complexity Science from the University of Warwick and a Physics (MPhys) from the University of Oxford.