Data Scientist

<p><span><span><span><span><span>Allianz Services is proud to serve and be part of Allianz Group, one of the world's leading insurers and asset managers. Our global footprint, with more than 7,300 employees located across ten countries and four continents, enables us to unlock value for our partners across the insurance value chain and deliver superior client experience within Allianz Group. At Allianz Services, we have a strong specialization in core insurance operations, shared services, business analytics, engineering, and management consulting. Our people and our trusted relationships with partners are what matter most. These are rooted in our values of compassion, integrity, and expertise and we strive to continuously evolve, improve, and deliver excellence while contributing successfully to the transformation of Allianz. Caring actively for the environment, for people, and for our customers is what makes us a great place to work and together we are shaping a better and more caring tomorrow.    </span></span></span></span></span></p> <p><span><span> </span></span></p> <p><span><span><span><span><span>Allianz Services is a company which belongs to the legal entity, Allianz Technology SE.    </span></span></span></span></span></p> <p> </p> <p> </p> <p><span><span><b><span><span><span>Job role</span></span></span></b></span></span></p> <p> </p> <p><span><span><span><span><span>Our Global Pricing Analytics team is seeking a Data Scientist to build strong data driven pricing models for all Lines of Business across Allianz Commercial. This person will need to collaborate internationally with various stakeholders, both within Global Pricing and across other Allianz Commercial functions. Furthermore, this individual will support strategic Allianz Commercial projects, such as developing and driving data driven approaches to portfolio management.</span></span></span></span></span></p> <p> </p> <p><span><span><span><span><span>The Pricing Analytics team is part of the Global Pricing department at Allianz Commercial and is responsible for driving the use of Predictive Analytics within Pricing across Allianz Commercial globally. You will join an international department located across London, Munich, Bucharest, Chicago and New York.</span></span></span></span></span></p> <p> </p> <p><span><span><b><span><span><span>What you will do</span></span></span></b></span></span></p> <p> </p> <ul> <li><span><span><span><span><span>Build predictive pricing models across a variety of business lines at Allianz Commercial</span></span></span></span></span></li> <li><span><span><span><span><span>Present and communicate modelling results and recommendations to internal stakeholders</span></span></span></span></span></li> <li><span><span><span><span><span>Help to improve the overall technical analytics capabilities of the Pricing Analytics team</span></span></span></span></span></li> <li><span><span><span><span><span>Develop an expert knowledge of the company’s data and data systems</span></span></span></span></span></li> <li><span><span><span><span><span>Work as part of a project team to drive forward the development of models</span></span></span></span></span></li> </ul> <p> </p> <p><span><span><b><span><span><span>What you bring</span></span></span></b></span></span></p> <p> </p> <ul> <li><span><span><span><span><span>Advanced degree in a quantitative field, preferably with significant emphasis on statistical modelling or machine learning, e.g. Statistics, Data Science, Machine Learning, Computer Science or a related field</span></span></span></span></span></li> <li><span><span><span><span><span>Experience in building predictive models in the insurance industry  </span></span></span></span></span></li> <li><span><span><span><span><span>Knowledge of P&amp;C insurance and pricing techniques </span></span></span></span></span></li> </ul> <p> </p> <p> </p> <p><span><span><b><span><span><span>You have</span></span></span></b></span></span></p> <p> </p> <p><span><span><b><span><span><span>Technical skills:</span></span></span></b></span></span></p> <ul> <li><span><span><span><span><span>Hands-on understanding of a wide range of classical and modern statistical and machine learning methods such as GLMs, decision trees, ensemble and regularization techniques etc. Experience with Bayesian approaches desirable</span></span></span></span></span></li> <li><span><span><span><span><span>Experience building and validating models using statistical software (Python, R, Emblem, SAS etc.) </span></span></span></span></span></li> <li><span><span><span><span><span>Ability to work efficiently and effectively with large data sets from a variety of sources, including both internal and external data. </span></span></span></span></span></li> <li><span><span><span><span><span>Strong SQL programming skills required</span></span></span></span></span></li> <li><span><span><span><span><span>Experience with version control tools such as GIT desirable</span></s