Data Science and Engineering Internship

Whether you have a background in an Applied Mathematics, Machine Learning, Statistical or related scientific degree, our Data Science and Engineering Internship offers the opportunity to experience HSBC’s Data Business within our Global Banking & Markets and Commercial Banking divisions.

For: Penultimate and final-year bachelor's, master's and postgraduate students
Duration: 5 to 16 weeks
Areas: Data Science & Engineering
Start date: July 2021 onwards

We encourage you to apply for your programme of choice as soon as possible as we recruit on a rolling basis and may close applications before the advertised date if all vacancies are filled.

Overview

Our mission is to drive informed decision-making and to solve complex problems by using the latest technologies to rapidly implement insights, transform data and to deploy scalable distributed algorithms.

What you will do

With our Data Science and Engineering Internship, you’ll take part in a range of activities, projects and networking events. After an induction, where you will learn about our business, culture and how we operate, you will join one of the project teams in our Data Science and Engineering business areas. This will give you an insight into our different businesses and the variety of opportunities available at HSBC. You will be part of a project team that will allow you to develop your analytical skills in various fields. This could be building and changing predictive analytical solutions, big data pipelines, data science and machine learning. You will collaborate with senior leaders and colleagues to create and implement quantitative solutions using different analytical principles. You will also attend educational presentations and workshops throughout your internship to enable you to keep up to date with the fast-paced environment of Data Science and Engineering.

Life in Data Science and Engineering (duration 1:43) Our new programme is providing Kameron not only technical and professional skills, but also helping him build on his communication and presentation skills

Who does this suit?

As well as the specialist skills and experience you bring, we want people who look for ways to make a real difference for our clients.

We are looking for dedicated, collaborative and motivated people who are:

  • Committed researchers. Our markets and client needs are constantly changing. You should always be curious; questioning ideas and showing a keen interest in learning about our methods
  • Agile workers. You will work in a fast-paced environment where everything evolves quickly. You’ll maintain momentum by promoting agile working and ensuring we constantly deliver for our clients
  • Analytical thinkers. You’ll need a good eye for detail, a creative mind for analysing trends, and the courage to adopt new analytical methods
  • Team players. We collaborate by listening to new ideas, as well as voicing our own, in order to deliver and develop the best service for our clients
  • Data enthusiasts. This programme will develop your statistical knowledge, passion for data or any programming skills you may already hold. You’ll gain a deep understanding of the theoretical grounds of machine learning and mathematical frameworks

This opportunity will suit those with; a foundational level of programming skills in any language (HSBC uses Python, Scala, Java), knowledge of operating systems such as Linux or similar would be advantageous, knowledge of Big Data Analysis using Spark or Hadoop or similar, and basic knowledge of data structures/types, algorithms, and control logic.

No direct experience is required for the role but any previous experience with transferable skills would be advantageous.

What can this lead to?

If you excel in your internship, we shall consider you for a role within our Data Science and Engineering graduate programme the following year. You could be placed in a more specialised position that suits your skills, working alongside like-minded colleagues who share a passion for backing up client decisions with solid data.

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