A super interesting start-up that is on a mission to take on some of the most complex challenges in the field of predictive models, fraud detection, and AI-powered insights.What You’ll Do: As a Senior Data Scientist, you will own the product and lead the development of AI features. You’ll be a hands-on “do-er” who’s comfortable rolling up your sleeves and executing. This role is ideal for an individual who excels at building, optimising, and deploying machine learning (ML) models, and enjoys working with large datasets and cutting-edge technologies.
You’ll be responsible for:
Building and optimising machine learning models using NLP and graph vector DBs
Leveraging big data efficiently to create actionable insights
Working with large documents, data infrastructure, and containerization
Investigating fraud and ethics reports, transforming raw data into meaningful insights
Developing predictive models that go beyond the basics, focusing on real-world applications
Using Python to build robust, scalable solutions
About You:
You have experience as a Data Scientist, preferably at a start-up or fast-growing company
You have a deep understanding of ML, NLP, graph databases, and predictive modeling
You can work independently and enjoy taking ownership of your projects
You’re not just a theorist, you can build solutions and make things happen
You’re a strong problem solver and know how to dig into raw data and find actionable insights
Experience with containerization and data infrastructure is a big plus
The Team: You’ll be joining a small but dynamic team, led by a Chief Science Officer. Expect a high level of collaboration and the opportunity to wear many hats.
We aim to expedite the process for candidates, with decisions made within two weeks.
Interested? If you’re ready to take on a hands-on role with a dynamic team and be part of something exciting, we’d love to hear from you!
You’ll be responsible for:
Building and optimising machine learning models using NLP and graph vector DBs
Leveraging big data efficiently to create actionable insights
Working with large documents, data infrastructure, and containerization
Investigating fraud and ethics reports, transforming raw data into meaningful insights
Developing predictive models that go beyond the basics, focusing on real-world applications
Using Python to build robust, scalable solutions
About You:
You have experience as a Data Scientist, preferably at a start-up or fast-growing company
You have a deep understanding of ML, NLP, graph databases, and predictive modeling
You can work independently and enjoy taking ownership of your projects
You’re not just a theorist, you can build solutions and make things happen
You’re a strong problem solver and know how to dig into raw data and find actionable insights
Experience with containerization and data infrastructure is a big plus
The Team: You’ll be joining a small but dynamic team, led by a Chief Science Officer. Expect a high level of collaboration and the opportunity to wear many hats.
We aim to expedite the process for candidates, with decisions made within two weeks.
Interested? If you’re ready to take on a hands-on role with a dynamic team and be part of something exciting, we’d love to hear from you!
