Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Relay's network relies on forecasts for operational efficiency. The Network squad builds and maintains the forecasting engine, with Demand Forecasting as its core component. This role involves owning the hardest and most ambiguous parts of the forecast, setting methodology and validation standards, and hands-on model building.

Responsibilities

• Own the integrated forecast end to end, blending live tracking signals with model-generated parcels.
• Build the hardest models in the area, including long-horizon, inbound-international volume, and parcel size/weight models.
• Set the methodology and validation standards for Demand Forecasting, defining model evaluation and accuracy measurement.
• Raise the technical bar by reviewing approaches, making model choices, and mentoring team members.
• Define the forecast's interfaces with demand-management, Routing, and network-planning functions.
• Learn operational processes and identify areas where the current approach falls short.
• Own production quality, ensuring models are monitored and drift is caught early.
• Work with Finance to keep the handoff between operational and financial models reliable.
• Quantify the impact of model error on cost per parcel to guide effort investment.

Requirements

• Have been the technical anchor on a modeling team, owning hard problems and setting standards.
• Think in interconnected systems and design interfaces deliberately.
• Possess a deep track record of building and delivering models from ambiguous starting points.
• Demonstrate strong Python and SQL skills, with depth across the full modeling lifecycle.
• Experience with time-series forecasting across classical statistical approaches, gradient boosting, and deep learning.
• At least 8 years in a data science or quantitative modeling role with clear examples of impactful models and methodology setting.
• Communicate effectively with non-technical stakeholders.
• Comfortable using AI tools like LLMs and code assistants.
• Ability to learn a complex operational domain quickly and model it well.

Skills

• Python
• SQL
• Time-series forecasting
• Classical statistical approaches
• Gradient boosting
• Deep learning
• AI tools
• LLMs
• Code assistants

Location

• Shoreditch

Work Type

• 4 days on-site
• 1 day remote

Experience Level

• Staff Data Scientist
• At least 8 years in a data science or quantitative modelling role

Education Level

• Advanced degrees across computer science, mathematics and operations research (preferred)

Benefits

• Generous equity with annual top-ups
• Private health & dental coverage
• 25 days of holidays
• Enhanced parental leave
• Hardware of your choice
• Gym subsidies
• Cycle-to-work scheme
• Friday office lunch
• Covered Uber home and dinner for late nights

About the Company

• Relay is fundamentally reshaping how goods move in an online era, backed by a $35M Series A led by Plural.
• Relay's Mission is to free commerce from friction, envisioning a world where more goods move more freely, making online shopping seamless and accessible.
• The team consists of ~110 people, with over half in engineering, product, and data, and 45+ advanced degrees.
• Relay captures, calculates, analyzes, and predicts thousands of data points for every parcel.
• The company fosters an intellectually vibrant culture of first-principles thinking, tight feedback loops, and relentless experimentation.

Equal Opportunity

• Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.