Senior Data Scientist - Supply Chain

ASOS.com Ltd; City of Westminster; On-site; GBP 35,000 - 50,000; Full time

Job summary

A leading online fashion retailer is seeking a Data Analyst for their Supply Chain team in the City of Westminster. This role involves analyzing large data sets, improving data quality, and developing Value Insight Packages to enhance operational efficiency. The ideal candidate will collaborate across teams to drive improvements and remove bias in processes. The position requires in-person work at least 3 days a week to foster collaboration and decision-making.

Qualifications

• Experience in analyzing large data sets.
• Ability to model relationships between factors for business insights.
• Strong understanding of data quality and governance principles.

Responsibilities

• Understand customer pain points and strategic goals to create Value Insight Packages.
• Improve data quality and governance standards.
• Analyze customer data to identify process inefficiencies.
• Develop compelling Value Insight Packages quantifying outcomes.

Skills

Data analysis

Process intelligence

Collaboration

Data governance

Job description

ASOS Supply Chain have stood up a centralised data science team to provide value across all the facets of Supply Chain such as improving the success mix around last mile customer journey, driving accuracy in warehousing, optimised inbound routing and consolidating our returns operations. You will be responsible for identifying and demonstrating the strategic business value that process intelligence provides by holding teams to account using both data analytics and situational anecdotes. You are your teams trusted advisor to help them achieve their objectives, providing rigour and removing opportunities for bias. You will be part of a team that provides value; responsible for analysing large data sets, creating models, identifying themes and collating the data into Value Insight Packages (VIPs) which, subsequently drive mean shift improvements and/or remove variation from our processes.

Responsibilities

• Understand customer pain points, business priorities, and strategic goals to identify relevant Value Insight Packages.
• Improve data quality and governance standards as executed by Data Owners & Stewards within the domain. Help identify data quality gaps and support their resolution, creating trusted data sets and eradicating anything that might undermine trust.
• Analyse customer data within ASOS platforms to identify process inefficiencies and potential areas for improvement including tracking of non-compliance or variance vs the design intent path.
• Using ASOS data and external experience, model relationships of different factors to support business requirements.
• Develop compelling VIPs by quantifying potential measurable outcomes requirements, efficiency gains, and potential cost savings.
• Collaborate with wider Supply Chain & interrelated teams, technical consultants, and senior management to present VIPs and manage expectation, gaining adoption Work with Supply Chain teams to ensure successful implementation and ongoing value extraction from VIPs through ASOS frameworks ensuring that change happens.
• Empower others in the process intelligence journey, taking sponsorship, leading training & providing demos to stakeholders.

We believe being together in person helps us move faster, connect more deeply, and achieve more as a team. That's why our approach to working together includes spending at least 3 days a week in the office. It's a rhythm that speeds up decision-making, helps ASOSers learn from each other more quickly, and builds the kind of culture where people can grow, create, and succeed.