Data Science Specialist

5 days ago

London, Greater London, United Kingdom G-Research Full time

Immerse yourself in the world of cutting-edge machine learning at G-Research, a leading quantitative research and technology firm. With offices in London and Dallas, we're a dynamic and innovative company that's pushing the boundaries of finance.

This role is based in our Soho Place office, located in the heart of Central London, and involves working alongside our quantitative researchers on complex machine learning problems.

We're looking for exceptional data science specialists to join our Core Technical Machine Learning team. As a member of this team, you'll work on a mix of individual and collaborative projects, tackling some of the toughest research questions in the field.

Your responsibilities will include:

  • Developing and implementing custom machine learning solutions using Python, PyTorch, and NumPy
  • Collaborating with our research team to design and test new machine learning models
  • Profiling and optimizing machine learning operations for improved performance
  • Evaluating the latest hardware and software in the machine learning ecosystem

Why choose G-Research?

  • Highly competitive compensation and annual discretionary bonus
  • Lunch provided and dedicated barista bar
  • 35 days' annual leave and 9% company pension contributions
  • Comprehensive healthcare and life assurance
  • Cycle-to-work scheme and monthly company events

To succeed in this role, you'll need:

  • A postgraduate degree in machine learning or a related field, or commercial experience working on machine learning models at scale
  • Strong object-oriented programming skills and experience with Python, PyTorch, and NumPy
  • Experience with advanced optimization methods and modern machine learning techniques
  • Excellent communication and interpersonal skills

We encourage candidates from non-financial backgrounds to apply, as finance experience is not necessary for this role. If you're passionate about machine learning and ready to take on new challenges, we'd love to hear from you.

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