DevJobs

Data Scientist - 50400181

Overview
Skills
  • SQL SQL
  • Python Python
  • ML ML
  • descriptive statistics
  • model training
  • model retraining
  • model monitoring
  • model development
  • model deployment
  • feature engineering
  • EDA
  • algorithm selection
  • embeddings
  • RAG architectures
  • vector stores
  • LLM technologies
  • GenAI

Phoenix Financial is launching an innovative AI unit within its Data Department, a forward thinking and technology-driven team at the forefront of AI transformation. This new unit will leverage cutting-edge AI and Generative AI technologies to develop advanced solutions that enhance business processes, decision-making, and client experiences.


We are looking for an experienced, creative and capable Data Scientist who can take a complex business problem, analyze the data, develop a high-quality model and lead it to the production and monitoring stage.



What you’ll do?


  • End‑to‑end development of ML‑based data solutions: from the research phase, data source collection and mapping, EDA, feature engineering, descriptive statistics and preliminary analyses, algorithm selection, and model development and training according to ML and GenAI methodologies.
  • Performing fine‑tuning of LLM models, including embeddings, vector stores, and RAG architectures.
  • Deploying models to production in collaboration with ML Engineering, DevOps, and participating system development teams.
  • Monitoring model performance (model drift), identifying deviations, and retraining models when needed.
  • Collaborating with business stakeholders and presenting deliverables and insights
  • Leading initiatives to improve ML/AI methodologies and workflows within the unit and across the organization.


What are we looking for?


  • Bachelor’s degree or higher in Engineering, Computer Science, Mathematics, Statistics, or Data Science.
  • 2+ years of experience as a Data Scientist.
  • Full proficiency in Python and leading ML libraries.
  • Full proficiency in SQL.
  • Hands‑on experience with GenAI and LLM technologies - a significant advantage.



Full-time, Sunday-Thursday, 9 hours per day, hybrid

Rishon LeZion, The 1000 complex, adjacent to Moshe Dayan Railway

PIX