The driver of our team runs on exceptional Applied Data Scientists. We are pushing the boundaries of what’s possible and what’s been done in AI.
We are building enabling libraries at the very base of the AI tech stack. This gives us a unique perspective and a great challenge.
If you’re an exceptional applied Data Scientist with 3+ years of experience, we would love to talk to you.
You’ll probably love this position if you can solve complex problems with simple yet high-quality ingenious solutions.
We are building things that are hard to build and doing things nobody has done before. If you are motivated by a challenge, able to work in a team where everyone is treading new ground every day and able to learn and apply new knowledge quickly, you’ll fit right in.
We are looking for someone who will
- Analyse, extract, and translate user, business, and technical requirements
- Run proof of concepts and research solutions for customer-facing functionality
- Document concepts and solutions and communicate effectively in English
- Work alongside different teams and stakeholders to deliver and maintain the platform
- Support and integrate work done by other members of the team
- Review the team’s code and proactively propose improvements where you see fit
- Take ownership of your tasks, from inception, throughout documentation and development, to delivery
- Champion code quality and best engineering practices while learning and sharing knowledge from the superb talent in the team
The Ideal Candidate should have
- A Bachelor’s degree in Computer Science, AI, or a similar field
- 3+ years of industry experience as a Data Scientist working in the industry
- Understanding of AI, and have practical experience with:
- Python ML frameworks/libraries such as Tensorflow, Torch, Sklearn, and ONNX
- Statistical and data analysis tools such as Pandas, Numpy, and Scipy
- Data engineering and processing tools such as PySpark, incl. SQL
- Visualisation capabilities such as Matplotlib and Plotly
- Strong analytical skills to identify potential pitfalls in design, process, and code
- Familiar with Jupyter and Notebook environments
- Familiar with version control systems, e.g., Git
- Organized, driven to excel, and neither afraid to help nor ask for help
Even better if you
- Have a Masters or PhD degree in Computer Science, AI, or a similar field
- Have experience with ML platforms such as Databricks, Sagemaker
- Knowledgeable about MLOps tools such as MLFlow, DVC
- Have a code portfolio of your public projects or contributions
- Expert at testing, writing meaningful automated tests and debugging
- Knowledge of cloud services such as AWS, Azure and GCS
What is in it for you
- Immersion in ground-breaking technology beyond the current frontier of Artificial Intelligence
- Work at the very edge of neuro-symbolic AI technology
- Exposure to incredible AI projects that we support
- Support for you to learn more, create more and experiment more
- Benefits:
- Health insurance coverage
- Annual health and wellness stipend for sports and gym
- Flexible working schedule
- Remote, in-office, or hybrid working choice
