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Research Data Scientist Graduate Trainee

ATAfrica

New
Junior 🇬🇧 English
Python Machine learning

Job description

About the role

ATAfrica is looking for recent Master's or Ph.D. graduates in Physics, Data Science, Computer Science, Statistics, Mathematics or a related field to join its Research Data Scientist Graduate Trainee programme. The role sits within the field of quantitative investment strategies, which uses data science, physics-inspired algorithms and mathematical models to find market inefficiencies, and aims to pioneer this field in Africa.

Key responsibilities

  • Collaborate with interdisciplinary research teams on innovative data science projects.
  • Develop and implement machine learning algorithms, statistical models and data analysis techniques.
  • Publish research findings in peer-reviewed journals and present at conferences and workshops.
  • Take part in advanced courses, seminars and workshops on data science research.
  • Mentor and collaborate with junior researchers, graduate students and interns.
  • Stay up to date with the latest research developments and contribute positively to team meetings.

Required profile

  • Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Mathematics or a related field.
  • Strong research background in data science, machine learning or a related area.
  • Demonstrated experience developing and implementing machine learning algorithms and statistical models.
  • Track record of publications in peer-reviewed journals or conference proceedings is a plus.
  • Excellent communication and presentation skills, and ability to work independently and in a team.

Required skills

  • Proficiency in at least one programming language such as Python or R.
  • Interest in FinTech and WealthTech, especially investment and trading.

What we offer

  • A paid trainee programme.
  • The chance to join a company pioneering WealthTech in Nigeria.
  • Opportunities for professional growth and development.
  • An inspiring and collaborative work environment.

Questions fréquentes

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Published 3 hours ago

Expires 1 month from now

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