Would you like to use your technical background to bring real change to the health sector by creating the best experience in Health Solutions?
Then you are exactly who we are looking for!
Aon is in the business of better decisions, and as an organization, we stand united as an inclusive, diverse team that is passionate about helping both our colleagues and clients to succeed.
This role is hybrid with flexibility to work virtually and in our São Paulo office.
What the day will look like
Data Acquisition and Transformation:
Acquiring data from disparate data sources using APIs and SQL.
Transform data using SQL and Python.
Visualizing data using a diverse toolset including but not limited to Python.
Database Management System:
Knowledge of how databases are structured and function in order to use them efficiently.
May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc.
Statistics and Computing:
Exceptional understanding of Multivariable Calculus, Linear Algebra, Differential Equations, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud.
Knowledge of statistical techniques such as the use of descriptive, inferential, Bayesian statistics, time series analysis etc.
to extract business insights and experimentation to solve business problems.
Data Wrangling:
Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured).
Machine Learning:
Understanding of machine learning theory, including the mathematics underlying machine learning algorithms.
Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models.
Model Deployment:
Understanding of MDLC (Model Development Life Cycle), CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness etc.
), A/B testing.
Pipeline frameworks like MLFlow, AWS SageMaker pipeline etc.
model and data versioning.
Generative AI:
You should have a deep understanding of Generative AI, including its algorithms and real-world applications for creating new data models.
Experience with Generative AI tools and techniques, such as GANs (Generative Adversarial Networks), is highly desirable.
Programming Languages:
Python and SQL.
Skills and experience that will lead to success
BS in Statistics and/or Science Computing.
Bilingual English/Portuguese required.
At least 3 years of experience with Data Science.
Experience in Predictive modeling, Databricks and Cloud (AWS).
Experience programming in Python, R and SQL.
A strong understanding of Business Models and Business Strategy.
Experience with Customer Journey Mapping (CJM).
At least some knowledge of the health industry.
How we support our colleagues
In addition to our comprehensive benefits package, we encourage a diverse workforce.
Plus, our agile, inclusive environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon.
Furthermore, all colleagues enjoy two "Global Wellbeing Days" each year, encouraging you to take time to focus on yourself.
We offer a variety of working style solutions, but we also recognize that flexibility goes beyond just the place of work... and we are all for it.
We call this Smart Working!
Aon values an innovative, diverse workplace where all colleagues feel empowered to be their authentic selves.
Aon is proud to be an equal opportunity workplace.
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