Senior Applied Scientist - Supply Chain

ASOS; City Of London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A prominent online retailer in London is looking for a Supply Chain Data Scientist to enhance data-driven insights across various operations. The role involves analyzing data, developing models, and creating Value Insight Packages (VIPs) to identify process improvements and efficiencies. Ideal candidates should have a strong background in RPA, BI tools, and programming languages such as Python or SQL, along with excellent communication skills. The position encourages teamwork, with a hybrid work model.

Benefits

Employee discount

Employee sample sales

25 days paid annual leave

Discretionary bonus

Private medical care

Flexible benefits allowance

Qualifications

• Experience with implementing RPA and/or BI Tools.
• Excellent communication and presentation abilities.
• Ability to translate complex technical concepts into clear business language.

Responsibilities

• Understand customer pain points and strategic goals.
• Improve data quality and governance standards.
• Analyse customer data to identify process inefficiencies.

Skills

RPA implementation

BI Tools

Python

SQL

Excellent communication

Change management

Tools

MATLAB

Git

Hadoop

Spark

R

Job description

Overview

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.

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.

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.

Qualifications

• Experience with implementing RPA and/or BI Tools and/or building Dashboards, Apps and Action Flows. Knowledge of either Python, R, SQL, Spark, Hadoop, MATLAB, Git.
• Excellent communication and presentation abilities
• Ability to translate complex technical concepts into clear business language that can be tailored dependent on the audience
• Change management experience across interrelated stakeholders

Benefits

• Employee discount (hello ASOS discount!)
• Employee sample sales
• 25 days paid annual leave + an extra celebration day for a special moment
• Discretionary bonus scheme
• Private medical care scheme
• Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits