At a Glance
- Tasks: Own the simulation of a delivery network and build impactful models.
- Company: Fast-scaling tech start-up with a green mission in London.
- Benefits: Competitive salary, equity, and hybrid work environment.
- Other info: Join exceptional founders and thrive in a dynamic, high-growth environment.
- Why this job: Make real impact on strategic decisions and accelerate your career.
- Qualifications: Strong Python and SQL skills with modelling experience.
The predicted salary is between 100000 - 140000 £ per year.
This is a rare opportunity to step into a genuinely high-impact data science role at a Series A tech driven delivery start-up, that’s scaling at serious speed. Every decision the business makes - where to expand, how to price, where to invest - will be shaped by the models you build.
You’ll own the end-to-end simulation of a rapidly growing delivery network, building modular models that directly influence strategic decisions across the business.
Why this role stands out:- Hyper-growth environment – join one of London’s fastest-scaling tech companies
- True ownership – build a core strategic modelling system from scratch
- High-impact work – your models will drive pricing, expansion, and investment decisions
- Direct exposure to leadership – partner closely with Strategic Finance and commercial teams
- Real career acceleration – operate at the heart of a scaling business
- Seriously impressive Founders - work alongside exceptional quality, entrepreneurs
- Own the simulation of the company’s full operating network, from volume forecasts through to routing and unit economics
- Build modular, production-grade models that answer critical commercial questions in real time
- Partner directly with finance and commercial leaders to shape pricing, margins, and growth strategy
- Set your own roadmap and ship models that materially improve decision-making
- Strong Python and SQL with hands-on modelling experience
- Background in financial modelling, forecasting, or simulation
- Comfortable operating in ambiguous, fast-moving environments
- Builder mindset: ownership, pace, and commercial impact over academic perfection
If you’re the kind of Data Scientist who wants real responsibility, fast feedback loops, and a seat at the table as a company scales, this is the sort of role that can compress five years of career growth into one.
Lead Data Scientist in City of London employer: Omnis Partners
Join a dynamic and innovative Series A tech start-up in London, where you'll have the opportunity to make a significant impact as a Lead Data Scientist. With a strong focus on employee growth and a culture that values ownership and collaboration, you'll work closely with exceptional founders and leadership teams, driving strategic decisions that shape the future of the business. Enjoy a hybrid work environment, competitive salary, and the chance to accelerate your career in a fast-paced, high-growth setting.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist in City of London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company or similar startups on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Showcase your skills! Prepare a portfolio of your best data science projects, especially those that demonstrate your modelling prowess. Bring them up during interviews to show you mean business.
✨Tip Number 3
Be ready for a challenge! Expect technical assessments or case studies during the interview process. Brush up on your Python and SQL skills, and practice solving real-world problems to impress the hiring team.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Plus, it gives you a better chance of being noticed by our hiring team. Don’t miss out on this opportunity!
We think you need these skills to ace Lead Data Scientist in City of London
Some tips for your application 🫡
Show Your Passion for Data:When you're writing your application, let your enthusiasm for data science shine through! We want to see how your skills can make a real impact in our fast-paced environment. Share specific examples of your past work that align with the role.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this position. Highlight your experience with Python, SQL, and financial modelling, as these are key for us. We love seeing how your background fits into our mission!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the Lead Data Scientist role. Remember, less is often more!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details 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 Omnis Partners
✨Know Your Models Inside Out
Make sure you can discuss your previous modelling experiences in detail. Be ready to explain the methodologies you used, the challenges you faced, and how your models influenced business decisions. This role is all about building impactful models, so showcasing your expertise will definitely impress.
✨Understand the Business Context
Research the company’s mission and how data science plays a role in their strategic decisions. Familiarise yourself with their delivery network and think about how your skills can directly contribute to their growth. Showing that you understand their business model will set you apart from other candidates.
✨Prepare for Technical Questions
Brush up on your Python and SQL skills, as you’ll likely face technical questions during the interview. Be prepared to solve problems on the spot or discuss your approach to building production-grade models. Practising coding challenges can help you feel more confident.
✨Showcase Your Builder Mindset
This role requires a proactive approach, so be ready to share examples of how you've taken ownership in past projects. Discuss times when you’ve worked in fast-paced environments and how you adapted to changes. Highlighting your builder mindset will resonate well with the company's culture.
