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- Tasks: Build and scale machine learning systems for a high-growth SaaS platform.
- Company: Join Syndigo, a leader in data management and content syndication.
- Benefits: Hybrid work model, competitive salary, and a focus on diversity and inclusion.
- Other info: Collaborative culture with excellent career growth opportunities.
- Why this job: Make a real-world impact with cutting-edge ML technology in a dynamic environment.
- Qualifications: 4+ years in machine learning, strong Python skills, and experience with neural networks.
The predicted salary is between 60000 - 80000 ÂŁ per year.
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
Diversity, Equity & Inclusion
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.
Senior Data Scientist in London employer: Syndigo
Contact Detail:
Syndigo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Syndigo on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Senior Data Scientist role. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! Prepare a portfolio of your machine learning projects, especially those involving neural networks. When you get the chance to chat with recruiters or during interviews, share your successes and how you've tackled real-world problems.
✨Tip Number 3
Practice makes perfect! Brush up on your Python and ML frameworks like PyTorch and TensorFlow. Consider doing mock interviews with friends or using online platforms to get comfortable discussing your technical expertise.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Syndigo team. Don’t miss out on this opportunity!
We think you need these skills to ace Senior Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with machine learning models, especially neural networks, and any relevant projects you've worked on. We want to see how your skills align with what we do at Syndigo!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our mission at Syndigo. Be sure to mention specific experiences that relate to the job description.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills in Python, ML frameworks like PyTorch or TensorFlow, and any experience with web services. We love seeing candidates who can demonstrate their hands-on experience in production environments!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Syndigo
✨Know Your Models Inside Out
Make sure you can discuss your experience with machine learning models in detail. Be prepared to explain how you've trained and optimised neural networks, and share specific examples of the impact your models have had in real-world scenarios.
✨Showcase Your Technical Skills
Brush up on your Python skills and be ready to demonstrate your proficiency with ML frameworks like PyTorch and TensorFlow. You might even want to prepare a mini-project or example code to showcase your ability to build and deploy models in production environments.
✨Understand the Business Context
Familiarise yourself with Syndigo's role in the commerce ecosystem. Understand how accurate product content impacts sales and supply chains. This will help you articulate how your work as a Senior Data Scientist can contribute to the company's goals.
✨Prepare for Real-Time Problem Solving
Since the role involves designing low-latency models, be ready to tackle hypothetical scenarios during the interview. Think about how you would approach real-time inference challenges and be prepared to discuss your strategies for ensuring performance in a multi-tenant SaaS environment.