Senior Engineer in Highways team at Amey Consulting delivering sustainable infrastructure solutions. Leading projects, mentoring junior designers, and ensuring compliance with engineering standards.
About the role
- Senior Data Scientist with engineering skills solving high impact insurance business problems at Zurich Insurance Group. Focus on AI/LLM analytics software with global team collaboration in a fast-paced environment.
Responsibilities
- 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
- 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
- Technically strong: Has professional experience across data science and data engineering (shipping production grade analytics/AI applications)
- Hands-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
- Familiarity with agentic patterns (tool use, planning, function calling, document workflows) and LLM orchestration frameworks
- Solid statistical foundations (e.g. regression, time series, uncertainty estimation)
- Any Dataframe API (like Spark or Pandas) and SQL Query optimizations (RDBMS or Spark) and indexing
- Strong Python (production-grade). Java and/or Scala are a plus; 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.
Benefits
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Engineer working with the Amey Consulting team on civil engineering projects in Scotland. Delivering sustainable infrastructure solutions and managing junior staff in a hybrid role.
Team Lead Engineering AI leading a multidisciplinary team to deliver AI solutions at Roche. Mentoring and overseeing AI service delivery and technical roadmaps to meet business goals.
Software Engineer responsible for software design and development at Vodafone in Istanbul. Collaborating with teams on DevOps practices and delivering high - quality code with agile methodologies.
Lead Software Engineer supporting the design and maintenance of enterprise systems at Broadridge, providing technical expertise and guidance on complex projects.
Staff Software Engineer at EarnIn, developing services and products for financial flexibility. Engaging in design, coding, and mentoring while driving technical direction and collaboration.
Software Development Advisor in Enterprise division responsible for technology strategy and process governance. Engaging in AI integration and application maintenance tasks within the Solutions & Operations team.
Senior Software Engineer at Booz Allen leading software development teams and driving innovative solutions through clean code and agile approaches. Focused on operational architecture and enhancing software capabilities.
Full Stack Software Engineer at Booz Allen delivering solutions in a fast, agile environment. Developing software and systems while helping clients overcome complex challenges using modern technologies.
Software Developer maintaining and developing InfoSec Dashboard solutions for ZEISS. Collaborating on data integration, dashboard creation, and security - tool integration in teams.