(Senior) Data Scientist (m/f/d)

In our Advanced Analytics department, we utilize cutting-edge technologies and methods to gain valuable insights through prescriptive data modeling and derive concrete recommendations for action. As a (Senior) Data Scientist (m/f/d), you will actively shape a future-oriented field of expertise and contribute to the further development of our data-driven analysis and decision-making processes. You will analyze extensive datasets, identify patterns and trends, and support the development of pricing and market strategies. Your expertise is a key factor in our company's success and offers you the opportunity to effectively apply your skills in an agile and innovation-driven environment.

The position is available full-time or part-time in Teltow.

Your advantages with us:

Flexible & hybrid working:

• Permanent employment contract with an annual leave entitlement of 30 days, plus additional days off on December 24th and 31st.
• 39-hour week
• Flexible working hours and a hybrid model: A mix of in-person and mobile work – tailored to your field of work.

Further education & career:

• Verti Welcome Day and targeted onboarding
• Diverse training opportunities and career prospects through our Verti Academy
• Working in international teams within the MAPFRE Group

Health & Wellbeing

• Company-owned gym and various sports and health programs
• Modern, ergonomic workplace for in-person attendance
• Team events such as participation in running events, regular volunteering activities, after-work get-togethers, etc.

Diversity & Sustainability:

• We are a signatory of the Diversity Charter and stand for diversity and equal opportunities in the workplace. Applications from people with disabilities are very welcome. Gender pay gap? Not at Verti!
• Entitlement to one social day per year for the exercise of private, voluntary engagement
• Responsible use of resources - currently we are focusing on becoming climate neutral.

Location: Teltow near Berlin

Start date: immediately

The position can be filled on a full-time or part-time basis.

Here's what you can expect:

• Conception, implementation and optimization of machine learning models
• Proactive derivation of specific customer and market potentials from the models
• Collection and analysis of data sets
• Independent creation and maintenance of dashboards
• Market observation and derivation of price optimization
• Organization, conception and management of process optimizations
• Needs-based data processing
• Close cross-functional collaboration with central company departments on data-driven models, measures and solutions.

You bring the following:

• Completed Master's degree/Diploma in Mathematics, Statistics, Business Mathematics or Business Informatics
• First professional experience in an actuarial environment (reserving, pricing, risk management) or PhD; insurance expertise is an advantage.
• Solid knowledge of Python or R and confident use of SQL
• Experience with AWS cloud applications or similar platforms is desirable.
• Excellent analytical skills, quick comprehension, and a solution-oriented and structured work style.
• A high degree of initiative and independence
• Fluent German and English, both spoken and written; knowledge of Spanish is an advantage.