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- Tasks: Lead a team to create data-driven solutions that impact real-world decisions.
- Company: Dynamic company in London focused on AI and optimisation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of AI, leading projects that shape business strategies.
- Qualifications: 7+ years in Data Science, strong leadership, and communication skills.
- Other info: Exciting role with potential for significant career advancement.
The predicted salary is between 72000 - 108000 £ per year.
Location: London, UK (Harlington & Hayes) – Hybrid
This is a senior, hands-on leadership role focused on building and deploying optimisation-driven data science solutions in a complex, real-world environment. You’ll lead the London team, act as the local AI authority, and work closely with senior stakeholders to turn mathematical models into business-critical decisions.
Key Skills / Experience
- 7+ years’ experience in hands-on Data Science or applied AI roles.
- Strong expertise in optimisation, operations research, or simulation.
- Proven experience leading data science teams and delivering models into production.
- Solid grounding in machine learning, statistics, and mathematical methods.
- Ability to communicate complex models to non-technical, senior stakeholders.
- MSc or PhD in Data Science, Computer Science, Statistics, or a related field.
Beneficial:
- Experience applying optimisation models in aviation, logistics, scheduling, or pricing.
- Consultancy-style background with high stakeholder exposure.
If you are interested and think you have the skills required, please don't hesitate to apply.
Lead Data Scientist in London employer: Edison Smart®
Contact Detail:
Edison Smart® Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who might know about opportunities at companies you're interested in. A personal referral can make all the difference.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and being ready to discuss your past projects. We recommend having a few case studies handy that showcase your optimisation and leadership experience.
✨Tip Number 3
Don’t underestimate the power of soft skills! Being able to communicate complex models to non-technical stakeholders is key. Practice explaining your work in simple terms to show you can bridge the gap between tech and business.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 7+ years of experience in Data Science and any leadership roles you've held. We want to see how your skills in optimisation and machine learning align with the job description.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for the Lead Data Scientist role. Share specific examples of how you've turned complex models into business decisions, especially in a team setting.
Showcase Your Technical Skills: Don’t forget to mention your expertise in optimisation, operations research, and simulation. We’re looking for someone who can communicate these concepts clearly to non-technical stakeholders, so highlight that ability!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team.
How to prepare for a job interview at Edison Smart®
✨Know Your Data Science Inside Out
Make sure you brush up on your optimisation, operations research, and simulation skills. Be ready to discuss specific projects where you've applied these techniques, as well as the outcomes. This will show that you not only understand the theory but can also apply it in real-world scenarios.
✨Lead with Confidence
As a Lead Data Scientist, you'll be expected to guide a team. Prepare examples of how you've successfully led teams in the past, focusing on your leadership style and how you foster collaboration. Highlight any experience you have in delivering models into production, as this is crucial for the role.
✨Communicate Like a Pro
You’ll need to explain complex models to non-technical stakeholders, so practice simplifying your explanations. Think about how you can convey the value of your work in terms that resonate with business objectives. Use analogies or visual aids if necessary to make your points clearer.
✨Research the Company and Its Challenges
Before the interview, take some time to understand the company’s industry and specific challenges they face. If they’re in aviation, logistics, or pricing, think about how your expertise can help solve their problems. This shows initiative and that you're genuinely interested in contributing to their success.
