eoqbe_ds

QBE | DevOps Engineer, InfoSec Specialist | London, UK | Full-time | ONSITE, VISA

We're one of the world's largest insurers, managing $3bn of policies in Europe alone, covering a large number of domains. We specialise in commercial insurance and we handle often large and complex risks.

You'll be integral to driving forward our data science initiative. Working alongside a diverse team of data scientists, developers and engineers (20 and growing), you'll be responsible for implementing cutting-edge approaches and the highest-level security to everything we do. We employ a progressive attitude to development, following an agile methodology to deliver frequent, rigorous and auditable improvements to our systems, subjecting every change to the most exacting tests in an automated manner. You'll have appreciation of security principles and data regulations, combined with a relentless zeal to seek out weaknesses in systems.

STACK: We're a python-shop, running on Google Cloud, Kubernetes (GKE), using Gitlab for version control and CI/CD.

What we offer:

* personal choice of high-spec laptop running Linux

* 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)

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)

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)

Hi @joshelgar, feel free to get in touch with your resume

QBE | Data Scientists | London, UK | Full-time, ONSITE 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)

QBE | Software Engineer, Senior Data Scientists | London, UK | Full-time, ONSITE

We're one of the world's largest insurers, managing $4Bn of policies, covering a large number of domains: Energy, Cyber, Property, Marine and Casualty, to name a few. We specialise in commercial insurance and we handle often large and complex risks. You will be helping us to better forecast the risks our current and prospective clients face, so that we manage and price our policies more accurately by leveraging the rich customer and claims data in combination with growing external sources like credit, census, telematics, GPS, and social media data.

You will also help us with modelling customer acquisition and retention, fraud detection, as well as with identifying and prototyping new technology.

Stack-wise, we are a Python shop (scikit-learn, Tensorflow, Flask, PySpark, celery). We use Docker and Ansible but we plan to move to Kubernetes and Terraform.

Attractive Package including Health Insurance, Bonus, Pension, Flexible Working

CONTACT: qbe.eo.ds@gmail.com (please mention this list when you get in touch)

For more info: https://qbe.wd3.myworkdayjobs.com/en-US/QBE-Careers/job/GBR-... https://qbe.wd3.myworkdayjobs.com/en-US/QBE-Careers/job/GBR-...

QBE | Software Engineer, Senior Data Scientists, Senior Data Engineers | London, UK | Full-time, ONSITE

We're one of the world's largest insurers, managing $4Bn of policies, covering a large number of domains: Energy, Cyber, Property, Marine and Casualty, to name a few. We specialize in commercial insurance and we handle often large and complex risks.

You will be helping us to better forecast the risks our current and prospective clients face, so that we manage and price our policies more accurately by leveraging the rich customer and claims data in combination with growing external sources like credit, census, telematics, GPS, and social media data.

You will also help us with modelling customer acquisition and retention, fraud detection, as well as with identifying and prototyping new technology.

Stack-wise, we are a Python shop (scikit-learn, Tensorflow, Flask, PySpark, celery). We use Docker and Ansible but we plan to move to Kubernetes and Terraform.

Attractive Package including Health Insurance, Bonus, Pension, Flexible Working

CONTACT: qbe.eo.ds@gmail.com (please mention this list when you get in touch)

For more info:

https://qbe.wd3.myworkdayjobs.com/en-US/QBE-Careers/job/GBR-...

https://qbe.wd3.myworkdayjobs.com/en-US/QBE-Careers/job/GBR-...

https://qbeeurope.com/