Senior Data Scientist (Computer Vision OR NLP)

Job Description

We are a high-growth startup using data and machine learning to revolutionise the insurance industry. You will be joining an established team, working to build products that are fundamentally changing the way insurers see the world, enabling them to move from an assumption based understanding of risk, to an empirical, data-driven view.

What working as a Data Scientist at Cytora looks like:

Cytora’s data services team is an interdisciplinary team, and you will be working alongside data engineers, software engineers and other data scientists. The team is responsible for existing live data products and for supporting other teams in creating brand-new products.

Our data products, which are used by international insurers, ensure that insurers have access to more data than ever that can be used to dramatically accelerate their learning. To this end, we help them acquire data by extracting information from structured and unstructured documents using CV and NLP, through dataset linkage and entity resolution, to using internal and external data to provide insight and prediction (incl. human-assisted ML).

We have a challenging pipeline that requires you to work outside the box and beyond the state of the art. We therefore need you to have a deep understanding of how the technology you’re using works and its limits. We are also a team of builders, so you will be coming up with solutions rather than algorithms - owning your idea, communicating with product, engineering and your coworkers to develop and deploy it.

Your focus will be in information extraction, and you will prototype new techniques and approaches to solve hard problems in NLP, CV, and prediction.

Requirements

• Proven experience as a Data Scientist, ideally with previous experience in extracting data from semi-structured documents
• EITHER: Excellent understanding of the fundamentals of machine learning, especially in NLP/NLU/IE - you ideally have some experience applying NLP to non-standard text;
• OR: Excellent understanding of the fundamentals of computational geometry and machine learning in image (ideally document) rectification, segmentation and labeling - you ideally have some experience in document extraction
• Experience with production environments where data science applications were deployed and served to customers live, ideally AWS
• Experience with Python (ideally also R), version control (Git) and unix based systems; preferably have some hands-on engineering/deployment experience
• Ability to work in a fast moving environment
• Drive to share knowledge with peers and empower your team
• Problem-solving and inquisitive mind and a self-starter attitude
• Ability to draw insights from noisy data when facing open ended problems

Bonus points:

• R
• Excited about engineering tasks
• Experience mentoring junior data scientists
• Experience in project management and successfully leading technical initiatives end-to-end
• Communication skills to present technical results in front of internal and external stakeholders

Benefits

• Private Health Insurance
• Pension Plan
• Training & Development
• Stock Options

Equal Opportunities

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.