Data Scientist

Job Description

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 Resolve Team is an interdisciplinary team, and you will be working alongside data engineers, software engineers and data scientists. The team is responsible for entity resolution as well as for ingesting, maintaining and making usable sector specific datasets.

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.

Requirements

• 2-4 years of proven experience as a Data Scientist/Data Analyst or Data Engineer
• Ideally experience working with or developing search engines
• Relevance tuning search results
• Experience with working with a variety of data, ideally external data
• Ability to perform exploratory data analysis and data processing
• Ability to draw insights from noisy data when facing open ended problems
• Ingestion pipelines and ETL
• Experience with production environments where data science applications were deployed and served to customers live, ideally AWS
• Experience with Python, 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

Bonus points:

• Experience working in a startup environment
• Experience with entity resolution, entity linking and knowledge of how tools such as the DBpedia Spotlight service work
• Excited about engineering tasks
• Experience mentoring junior data scientists
• Communication skills to present technical results in front of internal and external stakeholders

Benefits

• Remote first
• Competitive salary
• Share options
• £2000 work abroad budget each year
• £1500 Learning and development budget each year
• Flexible hours
• Private Health Insurance
• Enhanced parental leave