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For Companies At a Glance
- Tasks: Design and develop algorithms to solve logistics challenges.
- Company: Join a leading logistics company transforming operations with data and technology.
- Benefits: Enjoy hybrid work, 25 days holiday, private medical cover, and free breakfast.
- Why this job: Make a real-world impact in a high-growth, tech-driven environment.
- Qualifications: Experience in optimisation or ML models; proficient in Python and SQL.
- Other info: Collaborate with cross-functional teams in a fast-paced, agile setting.
The predicted salary is between 72000 - 108000 £ per year.
Lead Data Scientist – Routing
Salary: Up to £100k + Benefits
Location: London, Hybrid
Data Idols is working with a leading logistics company that’s reshaping how operations, data, and technology come together. As part of their growth, they’re hiring a Data Scientist to join the Routing & Optimisation team, working on complex decision problems that drive real-world efficiencies.
This is an opportunity to be part of a high-impact, production-focused environment where data science meets operational excellence.
The Opportunity
Working closely with the Head of Routing & Optimisation, you’ll design and develop scalable algorithms, heuristics, and ML/optimisation models that tackle some of the most critical challenges in logistics, from routing and pricing to planning and forecasting.
You’ll collaborate cross-functionally with product and tech teams to bring models into production, writing production-ready code and delivering end-to-end solutions.
What’s in it for you?
- Hybrid working
- 25 days holiday + bank holidays, plus Christmas Eve off
- Private medical cover, enhanced sick pay, and in-house gym
- Free breakfast, barista coffee, and Thursday social drinks
- Pension scheme with employer contributions
- Enhanced maternity leave
- Travel perks including Cycle to Work and EV scheme
- Be part of a high-growth tech-led logistics company that values innovation and impact
Skills and Experience
- Experience building optimisation or ML models in logistics, transport, or consulting
- Expertise in Mixed Integer Programming, heuristics, approximate algorithms, constraint programming, or ML/DL
- Hands-on with Python and SQL
- Domain knowledge in areas like routing, pricing, forecasting, or procurement planning
- Excellent communication skills
- Comfortable working in agile teams with a fast-delivery mindset
- A proactive mindset with a bias for action and alignment with values like collaboration, curiosity, and getting things done
If you’re a data scientist who thrives on complex decision-making problems and wants to make a tangible impact in a fast-moving, tech-led logistics business, we’d love to hear from you.
Click Apply to send your CV and start the conversation
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Lead Data Scientist - Routing employer: Data Science Festival
Contact Detail:
Data Science Festival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - Routing
✨Tip Number 1
Familiarise yourself with the latest trends in logistics and optimisation. Understanding the current challenges and innovations in the industry will help you speak confidently about how your skills can contribute to the company's goals.
✨Tip Number 2
Network with professionals in the logistics and data science fields. Attend relevant meetups or webinars to connect with others who work in similar roles, as they may provide insights or even referrals that could help you land the job.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented optimisation or machine learning models. Be ready to explain your thought process, the challenges you faced, and the impact of your solutions on the business.
✨Tip Number 4
Showcase your coding skills in Python and SQL during any technical discussions. Consider working on a small project or case study that demonstrates your ability to write production-ready code and solve real-world problems in logistics.
We think you need these skills to ace Lead Data Scientist - Routing
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in building optimisation or ML models, particularly in logistics or transport. Use specific examples that demonstrate your expertise in Mixed Integer Programming and Python.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and logistics. Mention how your skills align with the company's goals and how you can contribute to their Routing & Optimisation team.
Showcase Your Technical Skills: In your application, emphasise your hands-on experience with Python and SQL. Consider including links to any relevant projects or code samples that demonstrate your ability to write production-ready code.
Highlight Soft Skills: Don't forget to mention your excellent communication skills and your experience working in agile teams. Provide examples of how you've collaborated cross-functionally to deliver successful projects.
How to prepare for a job interview at Data Science Festival
✨Showcase Your Technical Skills
Be prepared to discuss your experience with optimisation and machine learning models. Highlight specific projects where you've used Python and SQL, and be ready to explain the algorithms you implemented, especially in logistics or transport.
✨Demonstrate Problem-Solving Abilities
Expect to tackle complex decision-making scenarios during the interview. Practice articulating your thought process when approaching problems related to routing, pricing, or forecasting, as this will showcase your analytical skills.
✨Emphasise Collaboration
Since the role involves working cross-functionally, share examples of how you've successfully collaborated with product and tech teams in the past. Highlight your communication skills and how they contributed to delivering end-to-end solutions.
✨Align with Company Values
Research the company's values and culture. During the interview, express how your proactive mindset and alignment with values like collaboration and curiosity make you a great fit for their team.
