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Internship

2024 Summer Internship Causal Inference Research Scientist - London

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Spotify

•

1mo ago

🚀 Summer Internship

London

⌛ Closed
Applications are closed

Summer Internship

Data•London

Description

  • Spotify is looking for enthusiastic students with a passion for music and an ambition to go far. This isn't just any internship! Our paid internship program will give you the chance to gain in-depth knowledge of what it's like to be a Spotify employee as well as get the opportunity to see the technology side of a fast growing company! Our summer internships will last for approximately 10 weeks this summer and start in the beginning of June.

Requirements

  • You are pursuing a Ph.D. degree in Computer Science, Physics, Mathematics, Engineering, with a focus on fundamental or applied causal inference, or equivalent experience. Previous proven industry experience is a plus
  • You have publications in relevant communities such as UAI, CLeaR, ICML, ICLR, NeurIPS, AAAI, WWW, KDD, or related
  • A problem-solver with experience with Python, R, or similar languages. Experience with tools like CausalML, EconML, TensorFlow, PyTorch, Scikit-learn, etc., is a strong plus
  • You have experience with hands-on skills in sourcing, cleaning, manipulating, analysing, visualising and modelling of real data
  • You currently have valid work authorization to work in the country in which this role is based that will extend from June to August 2024
  • You are a creative problem-solver who is passionate about digging into complex problems and devising innovative ways to reach results

Education requirements

Currently Studying
PhD

Area of Responsibilities

Data

Responsibilities

  • Join an interdisciplinary team passionate about making every user and creator interaction with Spotify outstanding and in the process pushing innovation and contributing to the wider research community by publishing papers
  • You will participate in innovative fundamental and applied research in causal inference, machine learning, and related fields
  • You will apply your scientific knowledge to analyze and collect data, perform analyses, identify problems, devise solutions and construct methodologies, including metrics and best processes, and conduct experiments to validate these
  • You will be a valued member of an autonomous, cross-functional team working in collaboration with other scientists, engineers, product managers, designers, user researchers, and analysts across Spotify to craft creative solutions to challenging problems
  • External engagement such as publishing, giving talks, and being an active community member at top conferences is actively encouraged

Details

Work type

Full time

Work mode

office

Application deadline

Mar 15, 2024

Location

London