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 AI/LLM-powered analytics 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 Senior Data Scientist with strong engineering skills 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.
responsibilities :
Working on high impact projects with end-to-end responsibility for their success
Evaluating and applying the right cloud and foundation model capabilities (e.g., Azure OpenAI and open-source models) to solve specific business problems, including RAG, tool-use/agents, and orchestration
Generating insights from internal and external data sources, using a wide range of tools and methodologies, e.g., from building robust big data pipelines in Spark/Databricks to applying LLMs, retrieval, embeddings, and classical ML/statistics, 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 API services 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
requirements-expected :
Technically strong:
oHas professional experience across data science and data engineering (shipping production grade analytics/AI applications)
oHands-on experience building LLM applications (e.g., prompt design, retrieval-augmented generation, embeddings, vector stores, evaluation & guardrails, cost/performance tuning) and willingness to engineer the full stack to get them into production
oFamiliarity with agentic patterns (tool use, planning, function calling, document workflows) and LLM orchestration frameworks
oSolid statistical foundations (e.g. regression, time series, uncertainty estimation)
oAny Dataframe API (like Spark or Pandas) and SQL
oQuery optimizations (RDBMS or Spark) and indexing
oStrong Python (production-grade). Java and/or Scala are a plus; functional programming experience is a plus
oKnowledge of scripting languages, such as Python, R, bash
oExperience 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
offered :
Real life opportunities to develop and grow with us and contribute to the world around us
Competitive salaries, language allowance and an employee benefits package that includes among others medical insurance, life insurance and sport-card
Annual bonus depending on company annual results and individual performance
Wide range of learning programs and personal development opportunities including also possibility to apply for up to 80% of educational trainings reimbursement
Referral awards
Online fitness trainings
Hybrid work
Nice and friendly atmosphere
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
