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425 points whoishiring | 1 comments | | HN request time: 0.21s | source

Please state the job location and include the keywords REMOTE, INTERNS and/or VISA when the corresponding sort of candidate is welcome. When remote work is not an option, include ONSITE.

Please only post if you personally are part of the hiring company—no recruiting firms or job boards. Only one post per month, please. If it isn't a household name, explain what your company does.

Commenters: please don't reply to job posts to complain about something. It's off topic here.

Readers: please only email submitters if you personally are interested in the job—no recruiters or sales calls.

To search the thread, try kennytilton's WhoIsHiring browser at https://kennytilton.github.io/whoishiring/ or kristopolous' console script at https://news.ycombinator.com/item?id=10313519.

1. eoqbe_ds ◴[] No.17442414[source]
QBE | Data Scientists | London, UK | Full-time, ONSITE, VISA, DETAILS: We're one of the world's largest insurers, managing $3bn of policies in Europe alone, covering a large number of domains. In Europe, we focus on commercial insurance, where we use a broad set of machine learning tools, natural language processing, and data visualisation to solve business problems. Data is critical to our decision making process, where it influences pricing, risk assessment, fraud, claims, customer acquisition and others. We are on a journey to be the most progressive user of data science within the insurance industry. You will be working with a diverse team (12 and growing) using the latest technologies, while working closely with experts with a vast knowledge in each specific domain, and strong corporate sponsorship. The Data Science team has a largely flat structure, and you will have the freedom to solve problems as you see fit, to really make a mark within the company.

Stack-wise, we currently use the PyData stack (pandas, sklearn, statsmodels, etc), Kubernetes, Terraform, Gitlab (and Gitlab CI), Bitbucket, Superset (and some Tableau still). The data science team is also planning to use Airflow and migrate entirely from Azure to Google Cloud.

What we offer

* competitive compensation and benefits

* HQ at the heart of the financial industry, working alongside industry experts

* a diverse set of problems, our products span across several domains

* flexible working

* hot desking, all desks adjust to standing

* VISA sponsorship

RATE: Attractive Package including Health Insurance, Bonus, Pension, Flexible Working CONTACT: ds.jobs@uk.qbe.com (please mention Hacker News when you get in touch)