Senior Data Scientist

Syndigo powers the continual flow of data and content throughout the entire commerce ecosystem— accelerating delivery of accurate and compelling information that increases sales on every shelf. We are the recognized leader in software and services for the management of master data, product information, digital assets, and content syndication and analytics across industries including grocery, foodservice, hardlines, home improvement, oil & gas, pet, health and beauty, automotive, apparel, and healthcare products. Syndigo serves the industry's largest two-sided network, connecting more than 50,000 global users across 12,000+ global brands with more than 1,750 global retailers. Basically, we're the people that deliver the rich, accurate product content that helps consumers shop online with confidence, and helps brands and retailers operate efficient product supply chains. We cannot do all of this without our amazing employees who make the magic happen here at Syndigo. As we continue to grow, we're always looking to identify talented individuals to join our team. •This is a hybrid position open to candidates in the London area, only requiring 2 days in the office•We're looking for a Senior Data Scientist to help build, scale, and operate production‑grade machine learning systems that power a high‑growth SaaS platform. In this role, you'll take models from experimentation to real‑world impact—supporting real‑time decisioning, predictive analytics, and data‑driven product capabilities used by customers at scale. You'll work closely with engineering, product, and data teams to deliver ML solutions that are reliable, observable, and performant in a multi‑tenant SaaS environment.

HOW WE'LL BE WINNING TOGETHER DAY TO DAY

Prediction models — Training and optimizing neural networks to predict eCommerce events across massive datasets Real‑time inference — Designing and deploying low‑latency models with millisecond‑level time budgets Production ML at scale — Building and operating ML models and web services handling 1,000+ RPS

WE SHOULD TALK IF THIS SOUNDS LIKE YOU \ 4

+ years of experience building machine learning models, with a strong emphasis on neural networks Strong proficiency in Python, including notebooks and production‑grade code Experience in training and deploying neural network models in production environments Hands‑on experience with ML frameworks such as PyTorch and TensorFlow Experience building web services and APIs using Flask, FastAPI, or similar frameworks Comfortable working in Linux environments, including shell scripting for monitoring and debugging applications