Our client is looking for an experienced junior to mid-level Data Scientist as an addition to their London-based Data Science Team. They particularly value the experience in building real-world predictive applications that have delivered measurable outcomes. Also, a team fit is paramount. You will be a humble self-starter capable of working with minimal supervision.

To make sense of the data we collect from thousands of sources, we heavily employ Machine Learning, Natural Language Processing techniques, and cloud computing.

Responsibilities

• Development of predictive applications related to the startup lifecycle, such as the probability of raising funds, the probability of an exit, company valuation, etc.
• Full ownership of the project: from conceptualisation to writing production-grade code and deployment
• Monitoring, refactoring, and other ongoing optimisations of the deployed applications.

Ideally, you will

• Have a keen interest in working within a privately funded, startup-like environment, embracing the uncertainties and responsibilities, but also the excitement that accompanies the process
• Possess a can-do attitude and thrive with minimal supervision
• Demonstrate a commitment to continuous learning and are eager to share your learnings with others
• Possess a robust theoretical understanding and practical experience in using Machine Learning to develop real-world predictive applications that have delivered tangible business value
• Have a solid working knowledge of the following technologies:

– Machine Learning frameworks for Python or R

– SQL (Postgres and/or other dialects)

– Git and GitHub

• Follow and implement best practices for programming
• Ideally, can showcase your skills through open-source contributions, blog posts, online courses developed by you, or academic publications (co-)authored by you
• Bonus points if you have any or a combination of the following:

– Technologies from our stack

– AWS services: Lambda, S3, DynamoDB, ECR, EC2, ECS, API Gateway, SQS, SNS

– Docker

– Big Data processing engines (e.g. Spark)

– Programming in compiled languages (Rust in particular)

– Developing web applications using the Shiny framework

– Experience in the Venture Capital / Private Equity / Finance industries

– Verifiable certificates for any of the aforementioned technologies

– Can speak Russian or Spanish (in addition to fluent English)

Job benefits

• Well-funded Project
• Part of a family office, which creates an opportunity to meet many interesting people
• Opportunity to work on intellectually challenging DS problems, build something meaningful and see the results of your work in action
• Opportunity to work with cutting-edge technologies, which creates a massive skills and career boost
• Flexible working conditions