Python Job: AI Researcher (Sensa)

\*\*This is a fully remote role & NO Sponsorship will be provided.\*\*
Symphony Sensa is breaking new ground in enterprise AI and is looking for Data Scientists to join our AI teams in the UK. We have the most advanced machine learning solution to solve hard problems in Anti Money Laundering, Financial Fraud, and Trade Surveillance. At traditional Banks, Exchanges, and for DeFi. You will learn and apply cutting-edge machine-learning techniques developed by our research team. Additionally, you will be contributing to the further advancement of Sensa AI technology through rigorous research and development. As part of a growing team, you will deploy our technology to help our customers solve their biggest and most impactful problems whether it be discovering the Unknown Risks evading their detection systems or reducing the False Positive rate of existing surveillance systems. We combine the rapid agility of a start-up with the financial backing of the world's largest private AI fund (SymphonyAI). At Symphony Sensa your contribution will make a difference to the world, and you will gain experience in one of the top AI companies in the world. Join us now!
Responsibilities:

• Research methods that will increase the efficacy of the Sensa product as a Fin-Crime detection platform
• Develop prototype and proof of concept solutions making use of cutting-edge AI, machine learning and statistical approaches
• Contribute to writing white papers and research articles
• Work with machine learning engineers and data scientists to productionize the latest methodologies
• Make research and development contributions to our core product offerings.
• Support other AI Researchers in R&D projects.
• Collaborate with Data Scientists on Sensa deployment projects.
• Support ML and Data Engineers with models and pipeline deployment and configurations.

Key Requirements:

• Bachelor's degree in mathematics, statistics, physics, computer science, engineering or other quantitative discipline
• Deep knowledge of the statistical and mathematical basis of machine learning algorithms.
• High proficiency in Python, Pandas, Numpy, scikit-learn and other standard ML and deep learning libraries
• Ability to contribute to production codebase.
• The capability to work independently in a fast-paced start-up environment
• The ability to collaborate well with other data scientists and machine learning engineers.
• Willingness to learn new technologies on the job.
• Ability to communicate complex ideas to both technical and non-technical audiences.
• Willingness to keep up to date and well-read on the latest research trends and industry developments
• Experience using Github.

Bonus Requirements:

• Knowledge of Kubeflow, Dask, and Rapids.
• Knowledge of Blockchain, DeFi, and DAGs.
• Knowledge of Anti Money Laundering, Financial Fraud, and Trade Surveillance.

Job Type: Full-time