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Data Scientist (m/f/d) in Planning and Performance Management / Finance Allianz Direct

Job Level:  Professional

München, DE, 81677

Due Date:  31.12.2021
Area of Expertise:  Finance & Accounting
Unit:  Allianz SE
Job Type:  Full-Time
Remote Job:  Home office due to Covid-19
Employment Type:  Permanent
ID:  2822

The world around us is changing rapidly and so is the insurance industry. Now’s the right time to make a bold move and shape the future of insurance – this is Allianz Direct! As a pan-European online insurer of the Allianz Group, launched in 2019, Allianz Direct is on its mission to become the most customer-oriented and efficient insurer on the market. Allianz Direct is truly changing the face of insurance, in customer experience, and in technology, processes, people and culture. An international team of business experts and engineers who live and breathe an agile way of working, are seeking to improve and change the way you do insurance. Driven by customer obsession and love for data, Allianz Direct strives for delivering an exceptional experience with a personal touch.

So, what makes Allianz Direct so unique? We believe in the power of simplicity and convenience and by doing so we have managed to set new standards when it comes to online insurance. We are a fast-growing technology company with an insurance license, and by fast, we really mean it – our brand ambassador Usain Bolt will agree on that one.


Job purpose

Planning and Performance Management (PPM) as part of the Finance function at Allianz Direct provides key stakeholders with appropriate information, analyses and recommendations to steer the company on a value-based approach.

We are looking for an enthusiastic colleague who is committed to data and insurance as we do, with a “nothing-is-impossible” mindset. As a Data Scientist (m/f/d) you will work in a highly motivated team where you get the opportunity to innovatively shape the topic of Advanced Analytics and AI together with us from the beginning.

You will have the opportunity to shape different data science products: From translating business problems into analytical ones, to designing and implementing the entire data pipeline, including data engineering, exploration, training and validating machine learning models, and prototyping direct and indirect action and interactive insights.

If you enjoy working with Big Data and developing machine learning models to generate new data-driven insights and recommendations, then we are looking for you – join us and let´s shape together the insurance business of tomorrow.


Key responsibilities

  • Work in a small, international, agile team as a Data Scientist (m/f/d) for the data domain Finance for Allianz Direct.
  • With the goal of improving financial performance, conceive and develop innovative end-to-end solutions for the collection, modeling, analysis and visualization of data.
  • Create machine learning models and support in the implementation of these models in existing processes by using state-of the-art methods.
  • Identify opportunities for innovation through analytics in the business of Allianz Direct and evaluate potential, scope projects, and define deliverables.
  • Investigate new data technologies and contribute to the continual development of our Data Mesh architecture.
  • Work in close collaboration with the central data team, other data analysts, data scientists, engineers, product and process teams to drive analytics topics and enable data-supported decision making.


Required qualifications and experience

  • Academic degree in Computer Science, Statistics, Mathematics, Physics, or a related field.
  • Ideally 2 years of relevant professional experience in the field of Data Science.
  • Excellent analytical and problem-solving skills and willingness to excel as a team and individually.
  • Profound experience in data analysis with high fluency in SQL, Python and experience in Cloud Computing (e.g. Azure).
  • Experience in applying modern machine learning algorithms (supervised and unsupervised, such as gradient boosting and deep learning) in a business context.
  • Expertise in data visualization with Business Intelligence tools such as Tableau, SAP Analytics Cloud or Power BI.
  • Experience with distributed computing is a plus (e.g., Spark, Hadoop, Databricks etc.).
  • Ability to communicate complex quantitative analysis in a clear and precise manner to audiences from different departments and at different levels.
  • Fluent in Business English, German is a plus, additional languages are nice to have.
  • Strong sense of cooperation and ability to work toward team success and willingness to challenge oneself and counterparties to strive for continuous improvement


Additional Information
We offer: Career development programs, Workwell@AllianzSE, Flexible working arrangements
Senior Recruiter: Ms. Pascale  Duong: +49 89 380 068383

Please submit your applications only via our online tool



Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. 
We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in.
We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.
Great to have you on board. Let's care for tomorrow.
Note: Diversity of minds is an integral part of Allianz’ company culture. One means to achieve diverse teams is a regular rotation of Allianz Executive employees across functions, Allianz entities and geographies. Therefore, the company encourages its employees to have motivation in gaining varied skills from different positions and to collect experiences from across Allianz Group.