Work Placement / Internship

Data Science and Engineering Summer Internship Programme

2020

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Who we are

HSBC is one of the largest banking and financial services organisations in the world. In 65 countries and territories serving around 40 million customers, our ambition is to be where the growth is, connecting customers to opportunities, enabling businesses to thrive and economies to prosper.

Starting your career in a global bank

HSBC graduate experiences in Global Banking and Markets.

Our structure

Our network covers both established and emerging markets across Europe, Asia-Pacific, Middle East and North Africa, North America and Latin America. Within these markets, we serve our customers through our global businesses: Commercial Banking, Global Banking and Markets, Global Private Banking, and Retail Banking and Wealth Management.

HSBC and you

Our 10-week Summer Internship takes place between June and August and offers penultimate-year degree students experience of our data science & engineering department, with a view to developing a successful international career in Data Science. You will need to be forward-thinking, driven and perceptive, open to different ideas and cultures and enjoy being part of a team.

If successful, you will have the opportunity to join our Graduate Programme from July 2021.

Overview

Whether your specialism is Applied Mathematics, Statistics, Machine Learning or a related scientific area, our Data Science and Engineering internship programme offers the perfect entry point into HSBC’s cutting-edge Data Business. Our mission is to transform data into an enterprise asset to solve complex problems using cutting edge technologies – helping to rapidly implement insights that will drive more informed decision-making. Our internship programme will give you a breadth of experience whilst enabling you to develop your skills further and is a pipeline to the Data Science & Engineering graduate programme.

After your induction and initial training, you will learn about our different businesses and then be set a specific project to work on during your 10 weeks with us. Whilst working in a team, you will use your analytic skills in various fields: this could be building and changing predictive analytical solutions, big data pipelines, data science and machine learning. You will contribute to work with senior leaders and colleagues to create and implement quantitative solutions using different analytical principles to serve our clients.

What will you do

You will be transforming data into an enterprise asset to solve complex problems using the latest technologies, and statistical and machine learning techniques. This will help to rapidly implement insights and to deploy scalable distributed algorithms to process a wide array of large and complex datasets. The results of your work will drive informed decision-making across the organisation.

Skills, Qualifications and Experience Needed

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 very 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

The ideal candidate for this role will:

  • Have good programming skills in a language such as Python, Scala
  • Be studying for a degree or postgraduate degree in a quantitative discipline
  • No direct experience is required for the role but any previous experience with transferable skills will be advantageous

Learning and development

Your placement will provide a combination of practical experience and classroom training. This will enable you to gain the right balance of technical knowledge and business skills.

You’ll be set objectives and receive feedback throughout the 10 weeks. During this time there are a number of people you can call on for support. Your manager will be able to give you guidance on your career options and you will be assigned a mentor who will help you to get the most out of the experience, as well as a buddy to share ideas with and call on for advice. There will be regular business and social events to attend so you can build a network of global contacts, which will prove invaluable. You can also take part in sustainability initiatives.

Career paths

You could secure a place on our Data Science & Engineering Graduate Programme on completion of your studies when pursuing a Summer Internship

We assess all applicants against our values and our global graduate capability framework.

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How to Apply

Job ID Number: 254400888
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Opportunity Overview

  • December 1st, 2019
  • Competitive + benefits
  • 2:1 and above (expected)
  • Summer
  • London
    (Show map)

Disciplines accepted...

  • All STEM disciplines
 

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