Data Scientist Python Senior - Híbrido

Marsh McLennan; Ciudad de México; Híbrido; MXN 600,000 - 850,000; Jornada completa

Descripción de la vacante

A leading company in risk management and reinsurance is seeking a Data Scientist to leverage machine learning in developing innovative data-driven products. This hybrid role based in Mexico City involves managing the model lifecycle and collaborating with cross-functional teams to drive efficiency and revenue generation.

Servicios

Professional development opportunities

Vibrant and inclusive culture

Range of career opportunities

Formación

• 4-5 years of experience developing and deploying ML models in production environments.
• Strong SQL skills for data manipulation and analysis.
• Exceptional analytical abilities and intellectual curiosity.

Responsabilidades

• Own the complete model lifecycle from data wrangling and development through training.
• Establish and maintain strong relationships with internal team members and external clients.
• Stay current with the latest ML/AI innovations.

Conocimientos

Python

Machine Learning

SQL

Deep Learning

Data Wrangling

Descripción del empleo

We are seeking a Data Scientist to join our team at GC. This role will be based in Mexico City. This is a hybrid role that has a requirement of working at least three days a week in the office. As a Data Scientist at GC, you you'll leverage cutting-edge machine learning to enhance data-driven products for a global leader in risk management and reinsurance. This cross-functional environment offers the opportunity to contribute throughout the full AI solution lifecycle while solving complex problems in the reinsurance domain.

We will count on you to :

• Back Incorporate cutting-edge business intelligence, machine learning, and alternative data practices into our wider organization to drive efficiencies and generate revenue
• Own the complete model lifecycle from data wrangling and development through training and monitoring
• Stay current with the latest ML/AI innovations and strategically apply these advancements to enhance GC's business and data strategy
• Build and improve our internal ML/AI private packages and tooling
• Establish and maintain strong relationships with internal team members and external clients
• Evangelize ML/AI techniques and best practices throughout our analytics and engineering teams

What you need to have :

• 4-5 years of experience developing and deploying ML models in production environments
• Significant expertise with Python data science ecosystem including pandas, scikit-learn, numpy, and deep learning frameworks (TensorFlow, PyTorch or Hugging Face)
• Strong SQL skills for data manipulation and analysis
• Ability to produce production-quality code with adherence to engineering best practices (unit testing, code reviews, CI/CD pipelines)
• Exceptional analytical abilities and intellectual curiosity demonstrated through academic or professional work
• Hands-on experience developing AI/ML technologies such as LLM inference, similarity search, vector databases, guardrails, and memory systems using Python
• Advanced Level of English is a Must

What makes you stand out :

• Experience with Databricks and its ML ecosystem
• Experience fine-tuning open source LLMs for specific business applications

Why join our team :

• We help you be your best through professional development opportunities, interesting work and supportive leaders.
• We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
• Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.