Data Scientist - Supply Chain Optimisation & Efficiency

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

Job summary

Ciena Corporation in the United Kingdom is seeking a Data Scientist to join the Supply Chain Optimisation team. You will apply advanced analytics to global supply chain challenges, influencing cost, service levels, and sustainability across procurement, planning, engineering, operations, and logistics.

You will design and implement optimisation models for network design, inventory positioning, demand forecasting, and transportation efficiency, and develop production-ready solutions using Python

Qualifications

• Degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, Engineering, or a related quantitative discipline.
• 5+ years of experience in data science, analytics, or optimisation roles, including exposure to supply chain problem domains.
• Application of programming languages such as Python for analytical and modelling solutions.
• Application of machine learning and statistical modelling techniques within supply chain contexts.
• Utilisation of optimisation libraries such as OR‑Tools, Pyomo, or Gurobi.
• Application of SQL or similar tools for data manipulation and analysis.
• Translation of business problems into analytical approaches that deliver actionable outcomes.

Responsibilities

• Design and implement optimisation models addressing network design, inventory positioning, demand forecasting, and transportation efficiency.
• Apply advanced analytics techniques to improve supply chain performance, cost efficiency, service levels, and sustainability outcomes.
• Analyse, cleanse, and transform large, imperfect datasets to generate actionable insights.
• Develop algorithms using optimisation, machine learning, and statistical modelling techniques to solve complex supply chain problems.
• Implement production‑ready analytical solutions using Python, or comparable programming languages.
• Build dashboards and analytical outputs that communicate insights to technical and non‑technical stakeholders.
• Collaborate with data scientists, analysts, and architects to ensure scalable and aligned analytical solutions.

Skills

Python

Machine learning

Statistics

Optimization

SQL

Education

Bachelor's or higher in Data Science/Statistics/Math/OR/CS

Tools

Python

OR-Tools

Pyomo

Gurobi

Snowflake

dbt

Dataiku

Alteryx

Job description

Ciena Corporation in the United Kingdom is seeking a Data Scientist to join the Supply Chain Optimisation team. You will apply advanced analytics to global supply chain challenges, influencing cost, service levels, and sustainability across procurement, planning, engineering, operations, and logistics.

You will design and implement optimisation models for network design, inventory positioning, demand forecasting, and transportation efficiency, and develop production-ready solutions using Python