💥JUST IN💥Data Scientist 🚀 Market leader in Speciality Insurance – Innovating + Rapidly growing 💰Up to $165k package 📍Washington DC or Fully Remote
⭐️Build ML Models within a high-achieving team, actively engaged in pivotal projects that have a broad impact across the entire organization⭐️
I know your time is valuable so let me cut to the chase:
➡️International Insurance organization – Market Leader
➡️Join the Specialty Business side built in the last 3 years which is 1/3 of the company- Fast paced and not operating like a normal Insurance company
➡️Going through digital transformation leveraging data science and technology to innovate and grow in its market
➡️Cultivate deep business expertise, focusing on a specific business unit, and utilize this knowledge to extract value from data.
➡️Take full ownership of the model lifecycle, encompassing data preparation, model development, testing, deployment, and monitoring.
➡️Build and maintain ML and statistical models for tasks such as automating actuarial processes, enhancing decision-making, and forecasting industry trends.
➡️Create and oversee data pipelines, including LLM pipelines for unstructured data and Python pipelines for data cleaning, validation, preparation, and analysis, while also supporting production model hosting, CI/CD pipelines, ML Ops infrastructure, and model monitoring.
➡️ Up to $165k package + Benefits (potentially more for an exceptional candidate)
Other Points of Interest!
➡️Tech: Python, SQL, Databricks, PySpark, dbt, Snowflake
➡️Office in Washington DC, however 100% fully remote available
➡️Emphasis on personal wellness and work life balance and helps achieve success both professionally and personally
Ideal candidate has:
➡️Masters/Bachelors in a technical subject
➡️2+ years relevant experience modelling and building ML or statistical models
➡️Knowledge or familiarity of ML ops
➡️Located in DC
Nice to haves:
➡️Azure experience productionizing ML models. Deploying, testing and monitoring. Experience being responsible for owning ML ops in Azure
➡️Data Science for Financial or insurance models
For a confidential and non-obligation call to find more about this opportunity please email me your resume to firstname.lastname@example.org and let me know when you are free for a call to discuss this in more detail.