Senior ML Scientist - Pricing & Shipping Optimization Remote

Depop; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Health & Wellbeing

Dental & Mental health support

Cycle to Work

Life Insurance

Pension matching

Sabbatical

Dog-friendly offices

Job summary

Depop is seeking a Senior Machine Learning Scientist to join the Pricing team in the UK. You will design and deploy ML models powering pricing recommendations and shipping pricing strategies, collaborating with product managers, engineers and analysts.

You will lead high-impact projects, mentor teammates, and drive experiments with rigorous statistical approaches while aligning with business constraints and goals.

Qualifications

• Significant experience as a Machine Learning Scientist delivering and scaling models.
• Deep understanding of ML concepts with production experience.
• Experience with causal inference, uplift modelling, or optimisation under constraints.
• Strong Python skills and production-grade coding ability.
• Ability to lead end-to-end ML projects and mentor teammates.
• Strong collaboration and communication with cross-functional teams.

Responsibilities

• Research, design, and deliver robust ML solutions for pricing and shipping models.
• Lead productionisation and scaling of models with backend engineers.
• Define requirements across stakeholders and design ML solutions for business problems.
• Set up large-scale experiments to test hypotheses and guide improvements.
• Stay updated on research and share knowledge within the team.
• Participate in planning, whiteboarding, and roadmapping sessions.

Skills

Machine Learning

Python

PyTorch

TensorFlow

MLOps

Causal Inference

Tools

Databricks

PySpark

AWS

Job description

Depop is seeking a Senior Machine Learning Scientist to join the Pricing team in the UK. You will design and deploy ML models powering pricing recommendations and shipping pricing strategies, collaborating with product managers, engineers and analysts.

You will lead high-impact projects, mentor teammates, and drive experiments with rigorous statistical approaches while aligning with business constraints and goals.