Quantitative Research, Machine Learning and Data Science
During our Summer Research Programme internship, you will work on your own challenging research project. This will demand innovative yet pragmatic mathematical and computational approaches. Using rigorous scientific methodology, robust statistical analysis and pattern recognition, you will analyse a data ecosystem, extracting deep insights.
You will work with evolving legacy systems, taking on projects in a number of new research fields, and contributing to important OpenStack work. The role will also involve enhancing and supporting the existing trade technology platform and associated toolset, as well as designing and implementing high quality code to work with large data sets.
We offer various technology placements in IT Support, Security Operations, Big Data DevOps and Network Operations. Each placement offers an insight into the latest technologies available and the opportunity to work on a breadth of projects with senior colleagues.
Gain experience in the growing field of data analytics while making a real contribution to the quality of decision making in a market-leading company. Your placement will include meeting with stakeholders, particularly senior management, to scope requirements and then using a range of techniques to answer questions using data. You will then present findings and recommendations based on your analysis to departments across the business.
During this placement you will learn what it means to be a strong HR professional in a leading technology business. You will rotate across two to three key HR and Talent functions with unique responsibilities for identifying and supporting some of the best people in their field. These include Talent Development, HR Change, HR Core, HR Analytics and Talent Acquisition.
Interested in a career with us?
Want to be part of a leading quantitative research and technology company? Great – we’re hiring. We have a wide range of roles, find the best fit for you here.Search Jobs