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- Tasks: Design and develop scalable algorithms to solve complex logistics challenges.
- Company: Join a leading tech-driven logistics company reshaping operations.
- Benefits: Enjoy hybrid working, 25 days holiday, private medical cover, and more.
- Why this job: Make a real impact in a high-growth environment with innovative technology.
- Qualifications: Experience in optimisation or ML models, proficient in Python and SQL.
- Other info: Collaborative culture with excellent career growth opportunities.
The predicted salary is between 72000 - 84000 £ per year.
Lead Data Scientist
Salary: £120K – £140K + Equity
Location: London in office
Data Idols are working with a rapidly scaling technology company which is redefining how large, highly regulated organisations produce, validate, and deliver client-facing work.
They are now hiring a Lead Data Scientist to take full ownership of their data ecosystem and help shape how the company operates, measures success, and makes decisions. You will own the data stack end-to-end and work at the intersection of analytics, engineering, and applied machine learning.
The Opportunity
This is a high-impact, high-autonomy role where you will design, build, and scale the company’s entire data capability from ingestion through to insight and prediction.
You’ll work closely with senior leadership, product, engineering, and go-to-market teams, ensuring data is reliable, real-time, and genuinely useful. You’ll turn messy, fast-moving problems into automated, production-grade systems that inform product strategy, customer behaviour, and operational decisions.
If you enjoy building from first principles, moving fast, and taking real ownership, this role offers an unusually broad scope and level of influence.
Skills and experience
- Strong Python for pipelines and analysis
- Advanced SQL and hands-on dbt experience
- Experience building data platforms from scratch in a fast-growth environment
- Comfortable working with ambiguity, changing priorities, and tight timelines
- Confident using AI coding tools as part of your daily workflow
- Excellent communication skills
If you are looking for a new challenge, then please submit your CV for initial screening and more details.
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Lead Data Scientist 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
✨Tip Number 1
Network like a pro! Reach out to people in the logistics and data science fields on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your optimisation models or ML projects. Use platforms like GitHub to share your code and document your thought process. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Research common data science interview questions, especially around algorithms and optimisation. Practice explaining your past projects clearly and concisely, focusing on the impact they had on real-world problems.
✨Tip Number 4
Don’t forget to apply through our website! We’re all about making connections and finding the right fit. Tailor your application to highlight how your experience aligns with the role, and let us know why you’re excited about joining a tech-led logistics company.
We think you need these skills to ace Lead Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with optimisation and ML models, especially in logistics. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific examples of projects you've worked on that relate to routing, pricing, or forecasting. This is your chance to show us how you've tackled complex problems and delivered real-world solutions.
Keep It Clear and Concise: We appreciate clarity! Use straightforward language and avoid jargon where possible. Make it easy for us to see your qualifications and experience without wading through unnecessary fluff.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Data Science Festival
✨Know Your Algorithms
Brush up on your knowledge of optimisation algorithms, heuristics, and machine learning models. Be ready to discuss how you've applied these in real-world scenarios, especially in logistics or transport. This will show your technical expertise and how you can contribute to the Routing & Optimisation team.
✨Showcase Your Coding Skills
Since you'll be writing production-ready code, it's crucial to demonstrate your proficiency in Python and SQL during the interview. Prepare to discuss specific projects where you've implemented scalable solutions and be ready for a coding challenge that tests your skills.
✨Communicate Effectively
Excellent communication is key, especially when collaborating with cross-functional teams. Practice explaining complex concepts in simple terms, as you'll need to convey your ideas clearly to both technical and non-technical stakeholders.
✨Emphasise Your Proactive Mindset
The company values a proactive approach and a bias for action. Share examples from your past experiences where you've taken initiative to solve problems or improve processes. This will align you with their values and demonstrate your fit for the role.