We are hiring for a Data Scientist with experience in natural language processing, deep learning and knowledge graphs.
Arkera surfaces hard-to-access market-intelligence for Tier 1 investment banks and hedge funds, enabling them to make better decisions and higher returns. Arkera's AI platform is built by a team of 30+ engineers, data scientists and financial analysts. We solve some of the biggest intelligence problems facing traders and portfolio managers using a combination of deep learning and financial domain expertise.
You will contribute towards the “next generation” of AI market-intelligence. If you are passionate about building disruptive products that clients love, we want to meet you.
What you will do 🚀
- Create custom, production-ready machine learning models with Tensorflow
- Build training and evaluation data pipelines on Arkera’s Data Science infrastructure
- Design processes to efficiently build data-sets in collaboration with our subject matter experts
- Collaborate with product teams to solve business problems with data-driven decisions
- Continuously improve code quality standards and participate in code reviews
This job is perfect for you if you 👍
- Have an advanced degree in machine learning, statistics, computer science, or equivalent experience
- Have advanced experience with Tensorflow
- Have hands-on experience of knowledge graphs and similar knowledge engineering applications
- Are able to write reusable and well-structured code
- Are passionate about building prototypes and putting your work into a production environment
- Experience in Cython / Numba
What you will get 🎁
- Competitive starting salary, negotiable depending on experience
- Private health insurance and pension scheme
- The latest tech equipment
- Free coffee, drinks and many other perks; office in WeWork
- Discounted gym membership and regular team social events
Our interview process typically consists of a half-hour initial phone screen and one or two half-day on-site interviews. The process usually takes 1-2 weeks in total but our fastest hire was in just 24 hours!!! 🏃