Logo of Huzzle

Home

Matches

Explore

Manage

Machine Learning Intern (Imperial College - London, MSc AI course exclusive)

image

Marshall Wace

Oct 11, 2023

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Software Engineering
  • London

Requirements

  • This placement is ideal for an innovative problem solver who can demonstrate inventive and creative use of technology. Successful participants will have the possibility to return full time as a graduate when they complete their studies.
  • What do we want?:
  • We’re looking for people that want to make the right start in their careers. We want people who have a passion for technology and who like to do things differently. In particular, we’re looking for:
  • Academic Achievement:
  • Applications are welcome from individuals enrolled on Imperial College London's MSc AI course
  • Articulate Thinkers:
  • We look for quantitative and analytical talents combined with effective communication skills.
  • Lead from the front:
  • We want to see aptitude for working in diverse teams with demonstrated potential for leadership.
  • A challenge mindset:
  • Our interns need to think critically about a range of strategic issues impacting our clients.
  • “Shoot for the moon” ambition:
  • We want people who think differently and who push hard stop to solve the problems and execute positive outcomes.
  • Technology Driven:
  • We look for interns who have experience working with at least one programming language, and demonstrate a genuine passion and interest in technology.

Responsibilities

  • The project that you will work on will be of real importance to the team. As one of our recent areas of development, you will be an integral part of the development of our ML capabilities.
  • All interns receive end-to-end support from our teams – from an initial induction to a performance review as you complete time with us. This includes personalised mentoring, regular seminars with senior managers and key staff, social events and the chance to participate in the firm’s charitable activities. At the end of the internship, you will present your project to the entire Technology team.

Application Process

  • 1)Initial screening; if your CV passes the initial screening, we will conduct an initial technical screen through Codility.
  • 2)Presentation interview: Successful candidates will be asked to virtually present on a ML/AI project of your choosing.
  • 3)Interviews; If you make it to the next stage you will be invited to the office for a series of interviews. This is the final stage of the process.
  • 4)Offers and Feedback; We appreciate the time and effort you will have put into your application and, whatever the result, we can offer you feedback on your application.
image

Marshall Wace

What brings us together, sets us apart.

Venture Capital & Private Equity
Industry
201-500
Employees
1997
Founded Year

Mission & Purpose

Founded in 1997, Marshall Wace is a global asset manager offering a diverse set of alternative, long-only and bespoke investment solutions to a broad range of investors.

Benefits

  • Cycle to Work Initiative

    We offer a green loan scheme which employees are able to use for the purchase of bicycles.

  • Pension Scheme

    Generous pension and retirement savings plans.

  • Physical and Mental Fitness

    Health and wellness benefits include an onsite gym & classes (LDN and NYC), gym subsidies in other regions, access to mental health support, and subscriptions to mindfulness platforms.

  • Health and Life Insurance

    Range of healthcare benefits to help you manage your personal, physical and emotional wellbeing.

Get notified when Marshall Wace posts a new role

Get Hired with Huzzle

Discover jobs with AI-powered precision. Autofill and track applications, create tailored resumes, and find the best opportunities across the web – all by simply chatting.

Already have an account?