Data Scientist – AI & Machine Learning

Plus500 is a world-leading online trading platform, serving hundreds of thousands of active users who place millions of trades each month. Our mission is to disrupt the financial markets by developing cutting-edge technologies that make trading more accessible, efficient, and transformative worldwide.

Plus500 is a publicly listed company on the London Stock Exchange, We welcome you to read and learn about our business strategy, strengths, and results on our investor relations page.

Role Overview

We are seeking an exceptional Data Scientist to lead applied research in machine learning and drive the AI transformation across Plus500. This pivotal role will shape the next generation of customer-facing products and internal tools, helping to redefine the trading experience through advanced AI.

Key Responsibilities

Design and implement LLM evaluation frameworks to assess and integrate new AI models, techniques, and parameters.
Build end-to-end GenAI workflows including synthetic dataset creation, preprocessing, model development, and deployment.
Evaluate and integrate state-of-the-art AI models and technologies, staying ahead of industry trends.
Design and build AI agents to automate critical workflows.
Optimize AI-user interactions through prompt engineering and retrieval strategies.
Apply research findings into practical, scalable tools for customer-facing and internal applications.
Conduct data analysis and define metrics to evaluate AI performance and impact.
Collaborate closely with cross-functional and global R&D teams to drive innovation across products.
Develop ML models for time series, regression, and classification problems.
Design and implement enterprise RAG (Retrieval-Augmented Generation) systems with LLMs, vector databases, and agents.
Process and analyze large-scale data from various sources (databases, APIs, documents).
Apply MLOps and LLMOps best practices for model training, deployment, and monitoring.

Requirements:

Who You Are

Product-oriented: You’re passionate about building solutions that deliver real-world impact, iterating quickly based on user feedback.
Curious & fast learner: You’re eager to explore new tools and concepts and are often the first to experiment with emerging technologies.
Collaborative: You thrive in cross-functional teams and communicate effectively across diverse stakeholders.

Qualifications

BSc or MSc in Computer Science, Software Engineering, Data Science, or a related field.
3+ years of experience as a Data Scientist or ML Engineer.
Hands-on expertise with machine learning techniques: regression, classification, clustering, time series
Deep interest and foundational knowledge, including hands-on experience with:
Transfer learning & fine-tuning — adapting large pre-trained models (like GPT, LLaMA, Mistral) to domain-specific tasks.
LLMs, Prompt Engineering, and Chain-of-thought (CoT) prompting
Designing MCP APIs, Agents, and Multi-Agent Orchestration
Vector databases (RAG) and GraphRAG-based solutions
Models for Content Moderation
Familiarity with MLOps & LLMOps practices — automating model training, testing, deployment, monitoring, and governance.
Strong proficiency in Python (or other relevant programming languages).
Excellent written and verbal communication skills in English.

Compensation and Benefits

Along with competitive pay, as a full-time Plus500 employee, you are eligible for the following benefits:

Yearly Bonus and RSU grants based on performance
Online/On-Site Courses, attend public conferences, and many other growth and learning opportunities.
Health Insurance
Gym, Pilates, Yoga, and others
Tickets to our sponsored team's games
Social events

Where you'll be

We offer a hybrid work policy : 3 days on-site plus 2 flexible days.
Work is located at the Matam, Haifa R&D Center.

Reason for hire:
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