Key responsibilities

We are seeking a highly skilled and motivated Full-Stack Data Scientist to join our Advanced Analytics team within the Chief Data Office. In this dynamic role, you will collaborate closely with subject matter experts across various business domains to develop and implement data-driven solutions that address complex challenges and drive strategic decision-making. 

You will leverage your expertise in data analytics and machine learning to extract actionable insights and contribute to the continuous improvement of business processes, helping to accelerate our organization’s transformation journey.

As a Data Scientist Full Stack, you are in charge of the following responsibilities:

• Leverage Python, SQL, and data science libraries (e.g., Pandas, Scikit-learn) to clean, analyze, and manipulate datasets effectively.
• Build, optimize, and maintain efficient and scalable data pipelines, ensuring seamless integration with existing systems.
• Utilize cloud platforms (AWS, Azure, GCP) to manage, process, and analyze large datasets, ensuring security and scalability.
• Apply machine learning and statistical techniques to address complex business challenges, delivering impactful data-driven solutions.
• Develop, test, and deploy machine learning models into production environments, ensuring scalability and robustness.
• Containerize applications using Docker and Kubernetes to streamline deployment and enhance scalability of machine learning models.
• Rapidly prototype interactive data applications using tools like Streamlit, Dash, or similar, enabling stakeholders to explore data and model outputs.
• Work closely with cross-functional teams to transform data insights into actionable business strategies and solutions.
• Present findings and insights clearly to both technical and non-technical audiences, translating complex data into actionable recommendations.

What you bring  

• Master’s degree in Computer Science, Engineering, Statistics, or a related field.

• Proficiency in Python and SQL, with experience using frameworks like NumPy, Pandas, Scikit-Learn, XGBoost, Shapely, Plotly, Streamlit, MLFlow, and SQLAlchemy.

• Strong knowledge of machine learning, deep learning and natural language processing with a proven ability to develop and deploy ML models in production environments.

• Expertise in containerization technologies like Docker and Kubernetes for efficient deployment and scaling of applications.

• Proficiency in working with SQL databases, with experience in NoSQL databases being a plus.

• Experience with GitHub, including workflows for version control, collaboration, and code management.

• Ability to take ownership, develop concepts, and drive ML models through to implementation.

• Experience working in agile methodologies within fast-paced, dynamic, and international environments.

• Strong intercultural sensitivity and prior experience working in an international context.

• Highly developed interpersonal skills, including communication, presentation, and negotiation with both technical and non-technical audiences.

What we offer  

Our employees play an integral part in our success as a business. We appreciate that each of our employees are unique and have unique needs, ambitions and we enjoy being a part of their journey.

We are there to empower and encourage you with your personal and professional development ensuring  that you take control by offering a large variety of courses and targeted development programs.

All that in a global environment where international mobility and career progression are encouraged. Caring for your health and wellbeing is key priority for us. This is why we build Work Well programs to providing you with peace of mind and give the flexibility in planning and arranging for a better work-life balance. 

58274 | Data & Analytics | Professional | Non-Executive | Allianz Partners | Full-Time | Permanent

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.