Relay Technologies - Senior Data Scientist - Strategic Finance
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT
Requirements
• Skills needed: Senior Data Scientist with experience building simulation models for logistics networks; understanding of network economics components and the ability to systematically upgrade existing models when changes occur. Must be proficient in handling large data sets (thousands of data points) captured, calculated, analyzed, and predicted on a parcel-by-parcel basis. • Years of experience: Not explicitly stated; however, given that the role is described as "senior," it implies at least several years of relevant professional experience in data science or related fields within logistics or supply chain management would be beneficial but not mandatory to apply without prior knowledge from Relay's team. • Education: Not explicitly stated; however, a strong educational background is implied with the mention that there are "45+ advanced degrees across computer science, mathematics and operations research" within the company which suggests an expectation for similarly high qualifications in applicants or potential candidates to have relevant education credentials such as Master's degree (or higher) preferably. • Certifications: Not explicitly stated; however, given that this is a senior role with significant responsibilities around financial modeling and strategic decision support, certifications related to data science, operations research, or supply chain analytics could be advantageous but are not mandated as per the provided job posting.
Responsibilities
• You're a strong modeller who thinks in systems. You naturally break complex problems into components, understand the assumptions behind each one, and know when those assumptions need revisiting. • You're a builder. You don't wait for requirements to be handed to you. You go and understand the problem, figure out what's needed, and ship something useful. Then you iterate. • You're fluent in Python and SQL, and you're comfortable doing your own data engineering when needed. You can pull, transform, and model data without waiting for someone else to prepare it for you. • You have real experience with financial modelling, forecasting, or simulation, ideally in a context where you were building models that informed commercial or strategic decisions, not just producing analysis. • You communicate clearly with non-technical partners. Finance will rely on your models to make decisions. You need to explain what they do, where they're reliable, and where they're not. • You care about the problem more than the technique. You'll use whatever modelling approach fits. The point is accuracy, speed, and usefulness, not methodological elegance. • You take ownership of your domain. You set your own roadmap, manage trade-offs, and hold yourself accountable for whether the models are actually driving better decisions. • Logistics or delivery network experience is a plus, but what matters more is the ability to learn a complex operational domain quickly and model it well.
Benefits
• Generous equity, richer than 99% of European startups, with annual top-ups to share Relay’s success. • Private health & dental coverage, so comprehensive you’d need to be a partner at a Magic Circle law firm to match it. • 25 days of holidays • Enhanced parental leave. • Hardware of your choice. • Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more).
No credit card. Takes 10 seconds.