Data Scientist Senior - GenAI Solutions
Job Description & How to Apply Below
Your contribution in this role:
Collaborate with data scientists, data engineers, ML Engineers, product managers, business analysts, and stakeholders from internal teams and external clients
Manage multiple projects simultaneously
Lead and coordinate the Data Scientists involved in the projects
Act as the main point of contact with client‑side stakeholders
Ensure that project tasks are delivered on time and executed to a high standard
The ideal profile
Experience of at least 3-5 years as data scientist;
Strong Python (mandatory) and SQL coding;
Knowledge of Java/Scala or C++/R is a plus;
Tensorflow and Pytorch knowledge with a focus over Computer Vision solutions;
Knowledge of ML solutions architecture and Generative AI pipelines;
Cloud and hybrid ML implementations;
Incorporate new, cutting edge business intelligence, machine learning, and alternative data practices into wider organization to drive efficiencies and generate revenue;
Own the full stack execution of data science projects from data wrangling, model development, presentation, measurement to deployment;
Work with data engineers to produce fully productionized pipelines including data ingestion, cleaning, feature engineering and model training/prediction;
Conduct research and analysis into reinsurance and advisory products to augment industry‑standard models and develop new market offerings;
Establish and maintain strong relationships with internal team members and external clients
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Position Requirements
10+ Years
work experience
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