Data Science Analyst

Our opportunity
We are looking for a candidate with very strong R programming skills to join our Life Protection Unit (LPU) team, a global function providing guidance, oversight, and development advice for all Zurich’s life technical needs. This role supports the development of a global experience analysis platform called Experience Insights, to additional business units (BUs) and products. 
Experience Insights investigate past claims and persistency, in our Life Protection business, to set appropriate assumptions for pricing future business. This technology enables LBM/BUs to perform their experience analysis using a modern Data Science (DS) platform, automate routine tasks, and develop more sophisticated analytics in collaboration with LPU. The platform is a key enabler for executing Zurich’s Life strategy.

Your roleYour skills and experience:

As a Data Science Analyst, your main responsibilities will involve: 

• Working with actuaries (LPU & BUs) to identify and gather required (experience) data
• Writing R code to ingest and standardise data as well as to calculate exposure
• Working in collaboration with actuaries (LPU & BUs) to validate transformed data / results
• Working with Zurich’s Data & Business Insights (D&BI) team to align Azure tools with R code and to deploy new code into production
• Implementing RMarkdown reports to document data inputs, methods used, and results creating local best-estimate basis reports
• Participating in R&D (exploring new methodologies, developing best practise, etc.) and implementing best-practice predictive modelling for experience analysis

Your Skills and Experience

As a Data Science Analyst, your skills and experience will ideally include: 

• University education (Master's degree) in data / computer science, actuarial science, (financial) mathematics, statistics, econometrics, quantitative methods, or similar
• Professional R programming skills and 2+ years of experience in R programming
• Knowledge of the insurance industry (life products in particular) is an advantage
• Additional programming languages are a plus (e.g., Python, SQL, YAML, Power BI) 
• Strong communication skills (documentation and presentation of developed code) 
• English language –Upper intermediate (B2 or better), spoken and written
• Interest in data research, predictive modelling, statistical analysis, data transformation and / or other analytical role developing insights for use in business decisions

Behavioural skills

• Strong pro-active team player who works collaboratively
• Enthusiastic and positive attitude with a desire to drive the business forward
• Strong communication and influencing skills, both written and oral
• A self-starter committed to deliver quality work to set deadlines
• Ability to prioritise and focus to deliver the end results
• Able to build and maintain relationships at all levels of staff

We offer 

Apart from monthly salary offer starting from 2 200 EUR/gross and a yearly bonus we offer benefits package which includes:
 
Working time benefits
Personal days off, Concentrated work week, Additional vacation, Home office, Extra days off at occasion of childbirth, Sabbatical leave, Workcation
 
Monetary benefits
Life insurance from Zurich Austria, Compensation for salary loss during sick leave, 3rd pension pillar contribution, Risk Life Insurance, Meal contribution on top of the legally required minimum, Years of service bonus, Wedding bonus, Baby bonus

Other benefits
Edenred electronic cafeteria, Public Transport contribution, Maternity leave benefits, Massages in the office

Learning/Development
Professional Certifications, Online Education Portals, Extensive Onboarding program, Strengths based culture (GALLUP)

• Location: Bratislava
• Schedule: full-time
• Hybrid working: We'd love to see you in the office 2-3 times a week, while also offering the flexibility to work from home. 

About us

At our company, we recognize the importance of fostering an open-minded, safe and inclusive environment for everyone. We stand with diversity and respect different backgrounds and lifestyles. That's why we've implemented numerous initiatives to ensure our employees feel comfortable, accepted and respected at all times.