Data Scientist

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.

Allianz Services is a company which belongs to the legal entity, Allianz Technology SE.

Job role
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.

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.

What You Will Do

• Build predictive pricing models across a variety of business lines at Allianz Commercial
• Present and communicate modelling results and recommendations to internal stakeholders
• Help to improve the overall technical analytics capabilities of the Pricing Analytics team
• Develop an expert knowledge of the company’s data and data systems
• Work as part of a project team to drive forward the development of models

What You Bring

• 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
• Experience in building predictive models in the insurance industry
• Knowledge of P&C insurance and pricing techniques

You have
Technical skills:

• 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
• Experience building and validating models using statistical software (Python, R, Emblem, SAS etc.)
• Ability to work efficiently and effectively with large data sets from a variety of sources, including both internal and external data.
• Strong SQL programming skills required
• Experience with version control tools such as GIT desirable

Personal skills:

• Ability to effectively interpret data and modelling results, and to then communicate them to audiences with differing levels of technical understanding
• Ability to express ideas and messages clearly, both written and verbally
• Organised, self-motivated, results-oriented, collaborative and very resourceful
• Experience in an international working environment desirable
• Committed to personal development and passionate about continually learning new technical skills

What we offer
We support your well-being
We foster an inclusive and healthy workplace with a flexible hybrid working model:

• Experience access to counseling services, mental health resources, and well-being sessions designed to keep you feeling your best
• Enjoy a monthly budget via the Benefit platform, for personalized benefits packages, including comprehensive medical subscriptions, meal tickets, private pensions plans, life insurance, Allianz Tiriac insurance discounts, and many more.
• Prioritize what truly matters with time off for your birthday, extra days off for each year in Allianz (up to 5), days off for legal holidays that fall on weekends, as well as 24th and 31st of December, plus special allowances to support diverse life events.

We invest in your growth
Benefit from an extensive learning curriculum designed to support your career advancement and meet your professional needs, with access to technical and soft-skills trainings, international certifications (Agile, Lean Six Sigma, Prince, ITIL, IFOA, ACCA, IACCM and more), learning resources from LinkedIn and Allianz platforms, opportunities to advance your languages skills(German, French, English) and elevate with our leadership Program.

We value you and your work
We acknowledge and recognize your work through performance based-rewards to celebrate your achievements, team and individual recognition programs to celebrate your contributions and internal referral bonuses.

Your personal information, including sensitive data, may be shared with Hiring Managers to assess your suitability as a candidate. Only suitable candidates will be contacted, and all applications are confidential. Allianz Group, a trusted global insurance and asset management company, values employee ambitions and challenges, fostering an empowering environment. We are committed to diversity and inclusion, welcoming applications from all backgrounds, regardless of ethnicity, age, gender, nationality, religion, disability, or sexual orientation. Allianz is an equal opportunity employer, encouraging you to bring your whole self to work.