At a Glance
- Tasks: Solve real-world optimisation problems in logistics and warehousing using advanced mathematical techniques.
- Company: Join WareBee, a forward-thinking company revolutionising warehouse operations.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborate with a small, expert team in a hybrid or fully remote setting.
- Why this job: Make a tangible impact on operational efficiency and financial success in a dynamic environment.
- Qualifications: Strong background in operations research and experience with programming and solver ecosystems.
The predicted salary is between 50000 - 70000 £ per year.
A warehouse is an optimisation problem in a trench coat. Layouts, slotting, labour shifts, pick paths, replenishment — the difference between a good answer and a great one moves real money for every operator WareBee serves. As Data Scientist (Optimization Science) you will reach for linear programming, mixed-integer programming, constraint satisfaction, heuristic search, and simulation, and pick the right one for the problem in front of you. WareBee runs on two engines: Physical AI — a living, spatial model of the warehouse floor, its racks, aisles, and movement — and Process AI, which learns how work actually flows through it. Your optimisation work sits on top of both.
What you will do:
- Sit with operators and the product team, understand the real constraints, and turn fuzzy operational pain into formal models.
- Solve real instances — at production scale, with messy warehouse data, against deadlines that matter.
- Build solvers and heuristics that ship, not papers that don’t.
- Pair with engineers to embed solvers behind clean APIs and feedback loops.
- Validate against the truth (operations on the ground), not just against the model.
What we are looking for:
- Strong foundations in operations research, mathematical optimisation, or applied mathematics.
- Production experience with at least one solver ecosystem and one general-purpose programming language.
- Comfort with messy real data, partial information, and changing constraints.
- Pragmatism about when an optimal solution is overkill and a heuristic ships.
- Curiosity about the operational domain — logistics, supply chain, warehousing.
- Hands-on warehouse, logistics, or supply-chain experience — you’ve seen how a real floor runs (a strong plus).
What we offer:
- Real operational problems with real money on the table.
- A small senior team that respects the craft.
- Hybrid in Cambridge, UK or Tel Aviv, Israel — or fully remote.
Data Scientist (Optimization Science) in Cambridge employer: WareBee ltd.
At WareBee, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Data Scientist (Optimization Science), you will tackle real-world challenges in logistics and warehousing, working alongside a small, experienced team that values your expertise and encourages professional growth. With the flexibility of hybrid work options in vibrant locations like Cambridge or Tel Aviv, you'll enjoy a dynamic environment where your contributions directly impact operational efficiency and financial success.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (Optimization Science) in Cambridge
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like WareBee ltd.!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist (Optimization Science) at WareBee ltd..
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like WareBee ltd..
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist (Optimization Science) at WareBee ltd., make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist (Optimization Science) in Cambridge
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at WareBee ltd., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at WareBee ltd.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at WareBee ltd.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at WareBee ltd.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
