Data Science & Engineering Analyst

Data Science & Engineering Analyst

119874

We are looking for a Data Scientist/Engineer to join the AI team to use data to accelerate innovation and bring value across the business verticals. Your objective will be using available data to solve complex business problems across the organization. This person will provide analysis and develop AI solutions that help business with decision making.

The Advanced Analytics team at Zurich is formed of Data Scientists that use data to accelerate innovation and bring value across the business verticals.

• Working with Gitlab to manage projects and python scripts.
• Providing support to other team members about python programming best-practices to improve efficiency, interpretability and to avoid hardcoding.
• Building new models using advanced statistical knowledge and ML techniques to answer strategic business questions across the organization.
• Conducting moderate to high complexity analyses under general direction.
• Conducting ad-hoc analysis required by business team.
• Identifying detailed data needs and structure to support model development.
• Cleaning and organizing data for its analysis.
• Manipulating and integrating data to highlight patterns, relationships, anomalies and trends.
• Managing new data sources, deep analysis and insights, developing testing strategies.
• Deployment and follow-up of the models in cloud (preferably in AWS).
• Influencing key cross-functional business stakeholders by delivering analyses and recommendations.

Minimum Requirements:

• Minimum BS/BA in Computer Science, Information Systems, Mathematics, Physics, Artificial Intelligence or a related technical/data intensive field, a plus being holding a MSc
• Experience at least 5 years working with Python (any framework of development) with good practice of development and code optimization. Expertise in version control (Git). API development and testing tools.
• Experience with deployment processes and code analysis (CI/CD, Jenkins, Postman).
• Knowledge of python analytic tools (nltk, pandas, numpy, scikit-learn, scipy) & SQL, Computer Vision (Image Segmentation, Image Classification - Tensorflow, Keras and PyTorch; OCR - e.g., Google Cloud Vision, Tesseract), Pyspark.
• You worked in data analytics projects or have deployed models in AWS using Amazon SageMaker Studio to cover the entire machine learning workflow would be considered a plus.
• Proven team player.
• Highly organized, creative, and solution oriented.
• Good written and verbal communication skills and problem-solving capabilities.
• Proactive.
• Strong drive for excellence.
• Fluent in Spanish and English.

If you feel butterflies in your stomach and you think we are a match, send your CV.