Data Science Intern

Summary

The job is for a Data Science Intern at FNA, a remote role where the intern will assist in research and development, identify hidden patterns in large datasets, partner with cross-functional teams, own projects end to end, and receive training funds, unlimited holiday, international team off-sites (when travel permits), and work with an innovative team.

Requirements

• Enrolled as a PhD student focused in Graph Theory, Finance/Econometrics, Data Science, Machine Learning, Statistics, Mathematics, or related applied quantitative field
• Passion and curiosity for what is happening within RegTech/FinTech/SupTech, Big Data, Graph Databases, Data Analysis and especially Graph Analytics
• Experience with MatLab, Python, R or similar
• Experienced with, or have a desire to learn Network Science and/or Graph Analytics
• Hands-on and curious; always looking to learn, solve problems and improve your skills
• Strong written documentation skills to assist with articles/use-cases/releases etc
• Excellent written and spoken English

Responsibilities

• Assist in the research and development of new tools and use-cases using the FNA platform and scripting language
• Identify hidden behavioral patterns and interconnections in large datasets
• Partner with cross-functional teams to solve real-world business problems at scale and identify trends/opportunities for the customers

Benefits

• Rapidly advance thinking, skills and career in a high growth tech company
• Work remotely with an international team of innovative and agile colleagues
• ��1k/yr for training and continuing education
• Unlimited holiday lets you take a break when you need it
• International team off-sites in sunny locations 2x/yr (when travel permits)