(Senior) Data Engineer, Commercial Insurance Analytics, 80-100%
vor 5 Stunden
Are you a motivated, hands-on, and innovative person, interested in working for one of the largest global insurers? Are you obsessed with developing great analytical software, which helps addressing daily business challenges of one of the biggest global insurers? Then this job is something for you.
We are looking for a Data Engineer to join the global Commercial Insurance team.
In this role, you will:
- Solve high impact business problems with a particular focus on Underwriting, for example: understanding claims drivers, portfolio optimization or improving our risk selection.
- Learn how Commercial Insurance works at its core, including dedicated training.
- Be part of a fast-paced entrepreneurially minded global team, which is daring to challenge the status quo.
- Develop and drive adoption of our main global Underwriting analytical product suite.
- Excel on your technical skills by working with internal and external experts.
What you will do
As a Data Engineer, your main responsibilities will involve:
- Working on high impact projects with end-to-end responsibility for their success.
- Experimenting with the right cloud-based technology to solve specific business problems.
- Generating insights from internal and external data sources, using a wide range of tools and methodologies, e.g., from building complex big data pipelines in Spark and Scala to applying Semantics and/or Machine Learning and extending our front-end applications.
- Building applications loved by internal and external users: from implementing proof of concepts to full-scale solutions; from portfolio management applications used by senior Zurich executives to Applications Programming Interfaces embedded into the core Underwriting processes.
- Making sure our platform expands and runs reliably in Production: build or help build AI models, add new and further optimize existing data pipelines, expand our automation architecture (e.g., web scrapers, automated user alerts).
- Coordinating directly with product managers and application users globally (with particular focus on adoption).
- Mentoring and developing more junior team members on all matters above.
What you bring
Required skills/experience:
Technically strong:
- Has professional experience with data engineering.
- Any Dataframe API (like Spark or Pandas) and SQL.
- Query optimizations (RDBMS or Spark) and indexing.
- Knows Java and/or Scala well, functional programming experience is a plus.
- Knowledge of scripting languages, such as Python, R, bash.
- Experience working on all stages of the software development lifecycle.
- Can-do attitude, with a clear focus on the end-product and user experience and the specific business use case.
- Passion to tackle real business problems and persistence to follow through with your recommendations.
- Good team player and communicator.
- Excellent written and spoken English, other European languages are a plus.
Preferred skills/experience:
- Experience with cloud-based technology and solution design: e.g., experience with Microsoft Azure Products, Databricks, Kubernetes, Docker.
- Front-end development experience is a strong plus.
- Experience in geospatial data modelling and data manipulation at large scale.
- Good working knowledge of Redis, Elastic suite product, and NoSQL.
- Experience in designing, running, and expanding AI models (in particular, text classification, entity extraction, clustering & topic modeling) in production; with a main focus on Natural Language processing.
- Experience with web scraping, e.g., Selenium.
- Prior work experience in (re)-insurance.
Additional Information
We look forward to receiving your online application.
At our Quai Zurich Campus, our culture and our people are what set us apart. We thrive on face-to-face interactions that drive collaboration, nurture our unique culture, and amplify our success. Enjoy the best of both worlds with the flexibility to work up to two days remotely per week within Switzerland, allowing you to balance personal commitments while excelling in your career. Please discuss your flexibility needs with us during your interview.
Information for recruitment agencies
Zurich does not accept any applications from recruitment agencies for this position. We refuse any responsibility for unsolicited applications as well as any associated fees.
Why Zurich
At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right?
We are an equal opportunity employer who knows that each employee is unique - that’s what makes our team so great Join us as we constantly explore new ways to protect our customers and the planet.
- Location(s): CH - Zürich
- Remote working:
- Schedule: Full Time
- Recruiter name: Christopher Parkinson
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