Data Scientist – Supply Chain Optimisation

🕒 June 6

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 65%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Ciena

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1985

📡 Telecommunications

🔧 Hardware

💰 Series C on 1995-12

Telecommunications • Hardware • Networking

Ciena is a global leader in optical and routing systems, services, and automation software. We build the world’s most adaptive networks to address ever-increasing digital demands for richer, more connected experiences for all users. For three-plus decades, we’ve brought our innate sense of humanity to our relentless pursuit of innovation.

📋 Description

• Design and implement optimization models for network design, inventory positioning, demand forecasting, and transportation efficiency • Apply advanced analytics to improve supply chain performance, cost efficiency, service levels, and sustainability outcomes • Analyze, cleanse, and transform large, imperfect datasets into actionable insights • Develop algorithms using optimization, machine learning, and statistical modeling techniques • Implement production-ready analytical solutions using Python or comparable programming languages • Build dashboards and analytical outputs for technical and non-technical stakeholders • Collaborate with data scientists, analysts, and architects on scalable analytical solutions • Support data-driven decision-making across procurement, planning, engineering, operations, and logistics

🎯 Requirements

• 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 optimization roles, including exposure to supply chain problem domains • Programming languages such as Python for analytical and modeling solutions • Machine learning and statistical modeling techniques within supply chain contexts • Optimization libraries such as OR-Tools, Pyomo, or Gurobi • SQL or similar tools for data manipulation and analysis • Ability to translate business problems into analytical approaches that deliver actionable outcomes • Background working with modern data platforms such as Snowflake and transformation tools such as dbt • Exposure to geospatial analytics or network visualization tools • Experience supporting global supply chain environments or complex organizational structures • Background using Dataiku or Alteryx One

🏖️ Benefits

• Flexible work environment • Employee growth opportunities • Well-being support • Belonging-focused culture