Data Scientist - Global Supply Chain Optimisation

Ciena Corporation; United Kingdom; Remote; GBP 70,000 - 110,000; Full time

Job summary

Ciena Corporation in the United Kingdom seeks a Data Scientist within its Supply Chain Optimisation team to apply advanced analytics to global supply chain challenges affecting cost, service, and sustainability. You will translate business problems into analytic approaches and deliver production-ready solutions using Python or R.

You will design optimization models, cleanse data, and communicate insights to stakeholders while collaborating with a broader data team to ensure scalable results.

Qualifications

• Degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science or related quantitative discipline.
• 5+ years of experience in data science, analytics or optimization roles, including supply chain context.
• Proficiency in Python or R for analytics and modelling.
• Experience applying ML and statistical modelling within supply chain contexts.
• Experience with optimisation libraries such as OR-Tools, Pyomo, or Gurobi.
• SQL or similar data manipulation tools.

Responsibilities

• Design and implement optimization models for network design, inventory positioning, forecasting, and transportation efficiency.
• Apply analytics to improve cost, service levels, and sustainability.
• Cleanse and transform large datasets to generate actionable insights.
• Develop algorithms using optimization, machine learning, and statistical modelling techniques.
• Build production-ready analytical solutions using Python, R, or similar languages.
• Create dashboards and outputs to communicate insights to technical and non-technical stakeholders.
• Collaborate with data scientists, analysts, and architects to ensure scalable solutions.

Skills

Python

R

SQL

Machine learning

Optimization

Statistics

OR-Tools

Pyomo

Gurobi

Data cleaning

Data visualization

Education

Degree in Data Science

Tools

Snowflake

dbt

Dataiku

Alteryx

Job description

Ciena Corporation in the United Kingdom seeks a Data Scientist within its Supply Chain Optimisation team to apply advanced analytics to global supply chain challenges affecting cost, service, and sustainability. You will translate business problems into analytic approaches and deliver production-ready solutions using Python or R.

You will design optimization models, cleanse data, and communicate insights to stakeholders while collaborating with a broader data team to ensure scalable results.