Senior Data Scientist / AI Engineer Commercial Insurance Analytics(m/w/x)

# Senior Data Scientist / AI Engineer Commercial Insurance Analytics 80-100% 125346 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, * Developing and driving adoption of our main global Underwriting analytical product suite, * Excelling 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** * Location(s):  CH - Zürich * Remote working: Hybrid * Schedule: Full Time * Recruiter name: Grace Cunningham