Who We Are

Grain is a pioneering fintech startup based in the heart of Tel Aviv. We offer embedded cross-currency solutions tailored for software platforms and marketplaces. Grain was founded by seasoned entrepreneurs, formerly of financial institutions like Barclays and Deutsche Bank, as well as renowned fintech startups. Backed by leading VCs and global financial institutions, we’re reshaping how modern companies manage currency risk. At Grain, you'll have the opportunity to work on cutting-edge financial infrastructure in a collaborative and mission-driven environment.

Role Overview

We are seeking a hands-on and impact-driven Senior Data Scientist to join our growing data team. This is a highly cross-functional role that spans across data science, analytics, and infrastructure. You will lead data projects end-to-end — from building predictive models to crafting strategic insights — and collaborate closely with product, operations, and finance stakeholders.

Key Responsibilities

• Lead end-to-end data projects across pricing, product, and customer analytics
• Build and improve predictive models for pricing, FX exposure, and customer behavior
• Develop strategic dashboards and analyses to support decision-making
• Collaborate with teams across the organization to define metrics and uncover opportunities
• Contribute to the improvement of internal data tools, pipelines, and data quality
• Establish and promote best practices in analysis, modeling, and data operations

Required Qualifications

• 5+ years of experience in data science/ ML engineering.
• Experience in analytics, or related roles.
• Advanced proficiency in Python (pandas, scikit-learn) and SQL
• Proven experience leading data projects independently and cross-functionally
• Strong business intuition and ability to translate questions into analytical solutions
• Excellent communication and data storytelling skills
• Comfort working in a fast-paced, dynamic environment

Preferred Qualifications

• Experience in fintech, B2B or financial data products
• Familiarity with cloud data infrastructure (e.g., dbt, Airflow, Snowflake/BigQuery)
• Background in FX, pricing models, or risk analysishi
• Experience collaborating with product, sales, or finance teams