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
To achieve the best version of our organization, we know it takes new ideas, new approaches, new perspectives and new ways of thinking. A purpose we are 100% committed to cultivating.
Diversity is woven into our fabric at Syndigo and it’s how we stay an industry leader, innovating technology solutions that equip our customers with everything they need to be successful!
All are welcome here and we invite you to join our team if you are ready to help us continue that growth!
GDPR/CCPA
Syndigo, to process applications, holds onto data for a "reasonable time" after applications are submitted. This data is stored for Syndigo's internal use by HR/Recruiting Staff only. Verified requests for data deletion and exports will be completed upon request.
Syndigo Job Applicant Privacy Notice
At Syndigo, we care about your privacy. As you go through our recruitment process, we are committed to being transparent about how we process your personal data. To learn more about how Syndigo processes your personal data, go to our Job Applicant Privacy Notice.
Skills Required
- 4+ years of experience building machine learning models
- Strong proficiency in Python
- 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
Syndigo Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Syndigo and has not been reviewed or approved by Syndigo.
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Healthcare Strength — Healthcare offerings are positioned as comprehensive, including PPO and HDHP options with an employer HSA contribution, plus dental, vision, disability coverage, and mental-health support. Optional add-ons like pet insurance and access to wellness programs further strengthen perceived coverage breadth.
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Leave & Time Off Breadth — Time-off policies are framed as generous, with PTO scaling by tenure alongside paid holidays and dedicated volunteer time. Additional schedule-oriented perks such as summer Fridays and meeting-free quiet hours reinforce flexibility around time usage.
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Retirement Support — Retirement benefits include a 401(k) plan with an employer match structure that is described as decent for a mid-market employer. Supplemental financial benefits like commuter pre-tax options and basic life insurance add to the overall rewards mix.
Syndigo Insights
What We Do
Syndigo is the industry’s only trusted single-source provider of consumer product information and content from supply chain to end customer utilization, offering a powerful end-to-end product content experience across multiple industries. Syndigo is raising the standard of what great product experiences can be.
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