Data Scientist

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About the role:

You will be working in our Machine Learning team to assist in building, deploying and maintaining of cutting edge Computer Vision models .

You will use a scientific approach to analyse and interpret large volumes of raw data and implement best-practice modelling strategies to design and develop tools to accurately interpret and address all types of challenges. 

Other responsibilities as a data scientist in this role are:

  • Data preparation and experimentation, model selection, testing, deployment, and implementation.
  • Building testing tools to ensure models perform as required.
  • Data augmentation for training dataset used in ML model training.
  • Data visualization and reporting/benchmarking.

About You:

You will have 3+ years of experience in a similar role and will apply your expertise in data science & analytics techniques to enable greater efficiency in data pipelines and modelling.

You already have a strong interest in tech, enjoy solving problems and like to learn new things. Ideally, you’ll have worked in collaborative technical teams before and be comfortable switching gears and love a challenge. 

Essential Requirements

      • Python (ideally proficient in Numpy & Pandas) 
      • SQL (Postgres) or NoSQL (Mongo)
      • Computer Vision – OpenCV
      • Python Image Library (PIL/Pillow)
      • Jupyter Labs or Notebooks
      • REST API’s
      • Unit / System and Black Box Testing.

Non Essential (but desirable)

      • AWS Sagemaker or Azure ML
      • Docker / Kubernetes
      • Tensorflow or Keras or Pytorch
      • C++
      • Bash / Shell scripting
      • Javascript
      • Object Oriented Programming


You will have completed a Computer Science degree with potentially either a Masters or PHD in Data Science – this however is not a must-have.

What you’ll get in return:

      • A great culture and cooperative environment designed from ground up.
      • Work on projects you’ll be proud of.
      • Collaborate with a sensational team, thought leaders in the industry.
      • Career development and engagement is priority, we invest in our team.
      • Flexible work environment, we understand life happens!
      • Be empowered to make decisions and bring your ideas, you’re the expert!
      • Push the boundaries, continuous learning and discovering new ways of doing things.
      • A safe environment to take reasonable risks and innovate.

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