The world of payment processing is rapidly evolving, and businesses are looking for loyal and strategic partners to help them grow.

Meet Nuvei, the Canadian fintech company accelerating the business of clients around the world. Nuvei's modular, flexible and scalable technology allows leading companies to accept next-gen payments, offer all payout options and benefit from card issuing, banking, risk and fraud management services. Connecting businesses to their customers in more than 200 markets, with local acquiring in 50 markets, 150 currencies and 700 alternative payment methods, Nuvei provides the technology and insights for customers and partners to succeed locally and globally with one integration.

At Nuvei, we live our core values, and we thrive on solving complex problems. We're dedicated to continually improving our product and providing relentless customer service. We are always looking for exceptional talent to join us on the journey!

Your Mission 

As a Data Scientist at Nuvei, your mission will be to leverage your expertise in machine learning and generative AI to develop and implement models and Gen-AI tools that enhance our analytics, product development, and operational efficiency. You will play a crucial role in interpreting and analyzing complex data sets to provide actionable insights, drive strategic decision-making, and create cutting-edge innovative solutions that keep Nuvei at the forefront of the payment technology industry.

You will collaborate closely with data engineers, business analysts, and product teams to identify opportunities for leveraging company data in new ways. Through your work, you will enable Nuvei to harness the full potential of our data, ensuring that our strategies and products are informed by deep, data-driven insights.

Responsibilities

• Develop and implement advanced machine learning and generative AI models to solve complex business problems, enhance product offerings, and improve customer experiences.
• Conduct data exploration and feature engineering to uncover hidden insights and identify opportunities for leveraging data across the business.
• Collaborate with cross-functional teams to understand business needs and provide data-driven solutions and recommendations.
• Stay abreast of the latest developments in machine learning and Gen-AI technologies, applying cutting-edge techniques and tools to drive innovation within Nuvei.
• Evaluate model performance and continuously iterate on and refine models to maintain their accuracy and relevance.
• Communicate complex data concepts and the results of analyses clearly and effectively to stakeholders across the company.
• Utilize big data technologies to process and analyze large datasets efficiently, ensuring scalable solutions for data-driven insights.
• Design and implement big data machine learning solutions using technologies such as Spark, and Kafka for real-time data processing and analytics.
• Explore and integrate new big data technologies and tools into the existing data ecosystem to improve data analytics and model development processes.

Agentic AI & MCP (Model Context Protocol)

• Design, build, and productionize agentic AI solutions (single- and multi-agent) for payment use cases such as risk & fraud detection, dispute/chargeback workflows, merchant support, monitoring, and data quality triage.
• Implement and maintain MCP servers/clients to safely expose tools, data sources, and actions to models; define resources, prompts, schemas, and tool contracts aligned with Nuvei security, compliance, and observability standards.
• Establish evaluation and LLM observability for agents (task success, reliability, latency, cost, safety), with structured telemetry, tracing, and automated regressions.
• Implement guardrails and human-in-the-loop mechanisms (policy checks, approvals, safe tool sandboxes, rate limiting, and Write clear documentation and runbooks for agent behaviors, MCP endpoints, versioning, and incident response.
  

Qualifications

• A Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field with a strong focus on machine learning or artificial intelligence.
• At least 3 years of hands-on experience in developing and implementing machine learning models, with a strong preference for candidates with experience in generative AI.
• Proficiency in programming languages used in data science, such as Python and familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with data manipulation and analysis tools, including SQL, and experience working with large data sets.
• Strong understanding of machine learning principles and algorithms, including supervised and unsupervised learning. Demonstrated ability to apply machine learning techniques to real-world problems, from initial concept through data preparation, model development, and deployment.
• Excellent analytical and problem-solving abilities, with a keen attention to detail and a data-driven approach to decision-making.
• Exceptional communication skills, with the ability to convey complex data insights to both technical and non-technical stakeholders.
• Familiarity with cloud computing services (AWS, Azure, or Google Cloud) and experience deploying models in a cloud environment is a plus.
• A track record of continuous learning and adapting to new technologies and techniques in data science and AI.

Agentic AI & MCP (Model Context Protocol)

• Demonstrated experience designing and operating agentic AI systems in production, including planning, tool calling, memory management, and failure recovery.
• Hands-on experience with MCP concepts (servers, tools/resources, prompts, sessions) or similar tool-exposure protocols; ability to define JSON-schema contracts and enforce authorization, auditing, and quota controls.
• Practical knowledge of orchestration frameworks (e.g., graph-based or multi-agent frameworks) and integrating agents with microservices, webhooks, queues, and event streams.
• Experience with RAG, vector stores, and retrieval strategies optimized for tool-using agents; familiarity with evaluation frameworks and LLM telemetry/tracing.
• Understanding of security and governance for AI systems (PII handling, secrets management, RBAC/ABAC, row-level security, data residency).
• Nice to have: familiarity with LLM tool-use ecosystems, prompt engineering best practices, cost/latency optimization, and blue/green or canary deployment strategies for agent updates.
  

Nuvei is an equal-opportunity employer that celebrates collaboration and innovation and is committed to developing a diverse and inclusive workplace. The team at Nuvei is comprised of a wealth of talent, skill, and ambition. We believe that employees are happiest when they're empowered to be their true, authentic selves. So, please come as you are. We can't wait to meet you.

Benefits

• Private Medical Insurance
• Office and home hybrid working
• Global bonus plan
• Volunteering programs
• Prime location office close to Tel Aviv train station