At a Glance
- Tasks: Lead data simulation and build models that drive strategic decisions.
- Company: Fast-growing tech start-up in London with a dynamic culture.
- Benefits: Competitive salary, bonus, and hybrid work options.
- Other info: Work closely with exceptional founders and leadership teams.
- Why this job: Gain real responsibility and fast-track your career in a high-impact role.
- Qualifications: Strong Python and SQL skills with experience in financial modelling.
The predicted salary is between 48000 - 72000 £ 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. 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.
- Hyper-growth environment – join one of London’s fastest-scaling tech companies
- Direct exposure to leadership – partner closely with Strategic Finance and commercial teams
- 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.
Requirements:
- Strong Python and SQL with hands-on modelling experience
- Background in financial modelling, forecasting, or simulation
- 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 - Banking in London employer: Omnis Partners
Join a dynamic Series A tech-driven start-up in London, where you'll have the opportunity to make a significant impact as a Lead Data Scientist. With a hyper-growth environment and direct exposure to leadership, you will collaborate closely with exceptional founders and strategic teams, shaping critical business decisions while enjoying a culture that fosters rapid career advancement and innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist - Banking 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 even job referrals.
✨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 a real impact, just like in the role you're eyeing.
✨Tip Number 3
Prepare for interviews by understanding the company’s challenges. Think about how your experience with Python and SQL can help solve their problems. Tailor your answers to show you’re the perfect fit!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Data Scientist - Banking 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 own the simulation of a delivery network!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this opportunity at our Series A start-up. Share specific examples of how you've influenced strategic decisions in previous roles, and show us your builder mindset.
Showcase Your Impact:When detailing your past projects, focus on the impact you've made. Did your models improve decision-making or drive growth? Quantify your achievements where possible, so we can see the real-world results of your work.
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’re considered for this exciting opportunity. Plus, it shows us you’re keen to be part of our journey!
How to prepare for a job interview at Omnis Partners
✨Know Your Data Inside Out
Make sure you’re well-versed in the data science concepts relevant to the role. Brush up on your Python and SQL skills, and be ready to discuss your hands-on modelling experience. Prepare examples of how you've built models that influenced strategic decisions in previous roles.
✨Understand the Business Context
Familiarise yourself with the banking and delivery sectors, especially how data science can drive strategic finance decisions. Research the company’s growth strategy and think about how your skills can directly impact their operations. This will show your genuine interest and understanding of the role.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-time scenarios. Think about how you would approach volume forecasting or routing challenges. Practising these scenarios will help you articulate your thought process clearly during the interview.
✨Showcase Your Builder Mindset
Emphasise your ownership mentality and ability to work at pace. Share examples of how you’ve taken initiative in past projects and the tangible impacts of your work. This aligns perfectly with the company’s focus on commercial impact over academic perfection.
