At a Glance
- Tasks: Use advanced analytics to tackle global supply chain challenges and drive impactful solutions.
- Company: Ciena, a leader in high-speed connectivity with a people-first culture.
- Benefits: Flexible work environment, focus on well-being, and opportunities for personal growth.
- Other info: Collaborative team environment with a commitment to diversity and inclusion.
- Why this job: Make a real difference in sustainability and efficiency while working with cutting-edge technology.
- Qualifications: Degree in a quantitative field and 5+ years of relevant experience.
The predicted salary is between 60000 - 80000 £ per year.
As a Data Scientist within Ciena’s Supply Chain Optimisation team, this role applies advanced analytics to complex, global supply chain challenges that directly impact cost, service performance, and sustainability outcomes. The position contributes to data‑driven decision making across procurement, planning, engineering, operations, and logistics functions. This role supports scalable optimization solutions aligned with Ciena’s operational priorities.
How you will make an impact:
- Design and implement optimization 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.
- Analyze, cleanse, and transform large, imperfect datasets to generate actionable insights.
- Develop algorithms using optimization, machine learning, and statistical modeling techniques to solve complex supply chain problems.
- Implement production‑ready analytical solutions using Python, R, 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.
The must haves:
- Education: Degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, Engineering, or a related quantitative discipline.
- Experience: 5+ years of experience in data science, analytics, or optimization roles, including exposure to supply chain problem domains.
- Application of programming languages such as Python or R for analytical and modeling solutions.
- Application of machine learning and statistical modeling techniques within supply chain contexts.
- Utilization of optimization 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.
Nice to haves:
- 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.
At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination. Ciena is an Equal Opportunity Employer, including disability and protected veteran status. If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.
Data Scientist - Supply Chain Optimisation employer: Ciena Government Solutions
Ciena stands out as an exceptional employer, offering a dynamic and inclusive work culture that prioritises employee well-being and growth. As a Data Scientist in Supply Chain Optimisation, you will engage in meaningful projects that leverage advanced analytics to drive sustainability and efficiency, all while enjoying the flexibility of a people-first environment that values your contributions and fosters collaboration across diverse teams.
Contact Details:
Ciena Government Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Supply Chain Optimisation
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Ciena on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss your experience with Python, R, and any optimisation techniques you've used. We want to see how you tackle real-world supply chain problems!
✨Tip Number 3
Showcase your projects! If you've worked on relevant data science projects, create a portfolio or GitHub repository. This gives us a tangible look at your skills and how you approach complex challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Ciena team.
We think you need these skills to ace Data Scientist - Supply Chain Optimisation
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Scientist role. Highlight your experience with supply chain optimisation, advanced analytics, and any relevant programming skills like Python or R. We want to see how your background aligns with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data science and how you can make an impact at Ciena. Don’t forget to mention specific projects or experiences that relate to the job description.
Showcase Your Skills:In your application, be sure to highlight your technical skills, especially in machine learning and statistical modelling. If you've worked with optimisation libraries or SQL, let us know! We love seeing how you’ve tackled complex problems in the past.
Apply Through Our Website:We encourage you to apply through our website for the best chance of being noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at Ciena Government Solutions
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in areas like machine learning and statistical modelling. Be ready to discuss how you've applied these techniques in real-world supply chain scenarios, as this will show your practical experience.
✨Showcase Your Programming Skills
Since the role requires proficiency in Python or R, be prepared to talk about specific projects where you've used these languages. Bring examples of algorithms you've developed or optimisation models you've implemented, as this will demonstrate your technical capabilities.
✨Understand Ciena's Culture
Ciena values a people-first approach, so it’s important to convey how you align with their culture. Share experiences that highlight your teamwork, flexibility, and commitment to individual growth, as this will resonate well with their values.
✨Prepare for Problem-Solving Questions
Expect to tackle some case studies or problem-solving questions during the interview. Practice articulating your thought process when analysing complex datasets or designing optimisation solutions, as this will showcase your analytical skills and ability to think critically.
