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Senior Data Scientist

Impact Tech LTD seeks to recruit a Senior Data Scientist to join our in-house Artificial Intelligence Team and push the limits of Artificial Intelligence through innovative products and solutions that solve real life business problems.

Key responsibilities

Key responsibilities

  • Apply and refine Machine Learning algorithms
  • Rapidly prototype and evaluate Artificial Intelligence solutions
  • Collaborate with Data Engineers
  • Contribute to project planning including Research and Development
  • Participate in code review and team meetings
  • Stay up-to-date with emerging technologies
  • Coach and mentor fellow Data Scientists
What we offer

What we offer

  • Challenging and engaging tasks
  • Professional growth opportunities
  • Flexible work and leave schedules
  • A competitive salary with an incentive program that rewards and recognizes outstanding performance
  • Opportunity to work in an open and collaborative environment
  • Team bonding events

Where robots become individuals. We are hiring.



  • Good knowledge of Object Oriented Programming
  • Good knowledge of Python
  • Good knowledge of and experience in relational and of non-relational databases
  • Strong knowledge of Machine Learning and its libraries (e.g. scikit-learn, TensorFlow, PyTorch)
  • Strong knowledge of research methods (e.g. Literature review, computational experiments)
  • Good interpersonal skills, accountability, written and verbal communication skills, time management
  • Strong problem solving and critical thinking
  • Team worker and lifelong learner
  • A strong desire to challenge the status quo


  • Bachelor’s degree in Physics, Engineering, Computer Science, Economics or relevant discipline
  • Familiarity with Agile / Lean delivery methodologies
  • Experience with handling Sequential Data, including Time-Series
  • Knowledge of Speech Processing and Natural Language Processing methods and techniques
  • Industry experience building and productizing innovative end-to-end Machine Learning systems.
  • Knowledge of Reinforcement Learning, Continual Learning and Transfer Learning
  • Knowledge of Deep Learning, Bayesian Learning and Stochastic Processes
  • Past collaborations within R&D Engineering teams
  • Contribution to open-source projects

To apply, please upload your CV.
All applications will be treated in the strictest confidence