Search Engineer

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 Search Engineer 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 Engineer/Search Engineer
• Experience working with or developing search engines
• Experience with graph processing
• Relevance tuning of search results
• Experience with working with a variety of data, ideally external data
• Experience with data ingestion, data processing
• Ingestion pipelines and ETL
• Ability to perform exploratory data analysis and data processing
• Ability to draw insights from noisy data when facing open ended problems
• 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;
• 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:

• Demonstrable experience with one of the of the major search engines: Elasticsearch, Solr, Solr Cloud, Lucene
• Experience with entity linking and knowledge of how tools such as the DBpedia Spotlight service work
• Communication skills to present technical results in front of internal and external stakeholders

Benefits

• Stock options
• Enhanced parental leave
• Private health insurance - UK only*
• Choice of laptop
• Flexi-working
• £2000 travel budget
• Company trips

*We employ people across the UK and EU (using a 3rd party Employer of Record model), and inevitably the benefits that we can offer vary slightly in different territories, due to local employment law and feasibility. Our salary range does not vary depending on territory.