At a Glance
- Tasks: Lead data science initiatives that shape commercial decisions and drive business growth.
- Company: Join a fast-growing start-up with an innovative, AI-driven culture.
- Benefits: Competitive salary, equity options, and a hybrid work model.
- Other info: Ideal for those who thrive under pressure and enjoy accountability.
- Why this job: Make a real impact in a high-velocity environment while owning shares in the company.
- Qualifications: Degree in relevant fields and strong skills in Python and SQL.
The predicted salary is between 100000 - 140000 £ per year.
Join the fastest growing start-up in town. This is a senior, hands-on data science role for someone who thrives in fast-moving environments and wants their work to directly shape commercial decisions at scale. You’ll sit within a high-performing finance function, owning advanced forecasting, modelling, and decision frameworks that influence revenue, cost, and strategic planning.
This is not a reporting or dashboarding role — models built here are actively used to guide decisions under real time pressure, with real financial consequences. The environment is high-velocity and demanding. Priorities move quickly, assumptions are challenged daily, and clarity of thinking under pressure is essential. You’ll be expected to operate with autonomy, bring structure to ambiguity, and deliver robust, explainable outputs that senior stakeholders trust.
Technically, this role suits a data scientist with strong Python and SQL, deep experience in forecasting and predictive modelling, and the ability to translate complex analysis into clear commercial insight. You’ll work closely with finance leaders and engineers alike, bridging modelling, systems, and decision-making. This opportunity is best suited to someone who enjoys accountability, pace, and building things that matter — and who is energised by intensity rather than overwhelmed by it.
Experience Required:- Educated to degree level in a relevant subject such as Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, Physics, Chemistry, Engineering etc.
- Strong programming skills with Python, building algorithms and models, and working with large, messy, complex data sets to model optimised process and performance.
- A deep background in applied data science within a commercial context, comfortable with fast paced, rapid growth culture.
- Experience of working in a client or business-facing environment, demonstrable skills in building trust and commercial discourse around leveraging ML and AI to solve real-world business problems.
- A proactive mindset, intellectual curiosity, and the ability to thrive in a fast-changing environment.
Lead Data Scientist employer: Omnis Partners
Join a dynamic and innovative start-up in London that champions a collaborative culture driven by AI, where your contributions as a Lead Data Scientist will directly influence commercial decisions. With opportunities for equity ownership and a focus on impactful green initiatives, this role offers a unique chance to thrive in a fast-paced environment while enjoying robust professional growth and the excitement of being part of a scaling organisation heading towards an IPO.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving Python and SQL. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do and how you think.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. Think about how you can explain complex concepts in simple terms, as you'll need to bridge the gap between technical and commercial insights.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who thrive in fast-paced environments. Your next big opportunity could be just a click away!
We think you need these skills to ace Lead Data Scientist
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for data science and AI shine through. We want to see that you’re not just looking for a job, but that you’re genuinely excited about the impact your work can have in a fast-paced environment like ours.
Tailor Your Experience:Make sure to highlight your relevant experience in forecasting, predictive modelling, and using Python and SQL. We’re looking for someone who can bridge the gap between complex data analysis and clear commercial insights, so be specific about how your skills align with our needs.
Be Clear and Concise:In a high-velocity environment, clarity is key. Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your qualifications and achievements at a glance.
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 to join our innovative team!
How to prepare for a job interview at Omnis Partners
✨Know Your Data Science Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss your experience with forecasting and predictive modelling, as well as how you've tackled complex data sets in the past. They’ll want to see that you can translate technical jargon into clear insights.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've navigated ambiguity and made decisions under pressure. Think of specific instances where your models influenced commercial outcomes. This role is all about accountability, so demonstrate how you’ve thrived in fast-paced environments.
✨Understand the Business Context
Familiarise yourself with the company’s mission and how they leverage AI for commercial success. Be ready to discuss how your work can directly impact revenue and strategic planning. Showing that you understand their business model will set you apart from other candidates.
✨Build Rapport with Stakeholders
Since this role involves working closely with finance leaders and engineers, think about how you can build trust and communicate effectively. Prepare to discuss how you've successfully collaborated with different teams in the past, especially in a client-facing environment.
