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 financial modelling experience.
The predicted salary is between 90000 - 126000 £ 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
What you’ll be doing:
- 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
Experience required:
- 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 London employer: Omnis Partners
Join a dynamic and innovative Series A tech start-up in London, where you'll have the unique opportunity to shape the future of strategic finance through impactful data science. With a hyper-growth environment, true ownership of your projects, and direct exposure to leadership, this role offers unparalleled career acceleration and the chance to work alongside exceptional entrepreneurs committed to a green mission. Embrace a culture that values fast feedback, real responsibility, and meaningful contributions to the company's success.
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 people in the industry, especially those working at companies you admire. A friendly chat can lead to insider info and maybe even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and simulations. This is your chance to demonstrate how you can make an impact in a fast-paced environment.
✨Tip Number 3
Prepare for interviews by understanding the company’s mission and how your work can align with their goals. Tailor your examples to show how you can contribute to their growth strategy.
✨Tip Number 4
Don’t forget to 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!
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 reflects the skills and experiences that align with the Lead Data Scientist role. Highlight your Python and SQL expertise, as well as any hands-on modelling experience you've got. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're excited about this role and how your background in financial modelling and simulation makes you a perfect fit. Keep it engaging and personal – we love a bit of personality!
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to build modular models and influence strategic decisions. We’re keen to see your practical experience in action.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the quickest way for us to see your application and get you into the process. Don’t miss out on this exciting opportunity!
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 decision-making. 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 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 thrived in fast-paced environments and how you’ve made a tangible impact. Highlighting your builder mindset will resonate well with the interviewers.
