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- Tasks: Lead the design and deployment of impactful machine learning solutions.
- Company: Join a high-growth tech start-up redefining e-commerce with AI.
- Benefits: Competitive salary, equity options, and hybrid working model.
- Other info: Opportunity for career growth in a talent-dense, fast-scaling team.
- Why this job: Shape the future of a disruptive, sustainability-focused product in a dynamic environment.
- Qualifications: Degree in a quantitative field and strong Python skills required.
The predicted salary is between 90000 - 122000 £ per year.
High-Growth Series A Technology Company
£90k – £122k + equity & benefits
Location: London (Hybrid working)
AI-first organisation with a collaborative, innovation-led culture.
Visionary leadership driving a genuinely disruptive, sustainability-focused product.
Equity upside with a clear path toward scale, exit, and IPO.
About the Company:
Omnis Partners are working exclusively with a venture-backed start-up redefining the e-commerce landscape through advanced AI and machine learning. Following a successful Series A raise, the business is entering a rapid growth phase and investing heavily in its data science and AI capability.
Built by experienced founders, the company develops machine learning-driven software for e-commerce optimisation, helping clients reduce operational costs and improve performance at scale. With strong financial backing, they are scaling both their platform and technical teams at pace.
You’ll join a high-performing data science team working closely with an accomplished Data Science Director, contributing to the design and deployment of impactful ML solutions in production.
This role is suited to a well-rounded Senior / Lead Data Scientist with strong modelling expertise—particularly in forecasting, time series analysis, and optimisation problems—who can drive insights that improve complex systems and predict demand accurately.
You’ll be part of a talent-dense, fast-scaling environment where data science sits at the core of business strategy. The role offers strong ownership, technical challenge, and the opportunity to grow your career within an AI-led organisation.
What They’re Looking For:
- Degree in a quantitative or technical field (e.g. Computer Science, AI, Mathematics, Statistics, Physics, Engineering)
- Strong Python skills with experience building machine learning models and scalable algorithms
- Proven experience working with large, complex datasets to optimise performance and decision-making
- Commercial experience applying data science in real-world environments, ideally within fast-paced or high-growth businesses
- Ability to engage with stakeholders, translating technical outputs into business impact and value
- Curious, proactive mindset with the adaptability to thrive in a rapidly evolving tech environment
If you’re looking to step into a high-impact role within an AI-driven scale-up, this is one of those opportunities where you’re not just building models—you’re shaping the future of a business.
Lead Data Scientist in Slough employer: Omnis Partners
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist in Slough
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at a company you admire. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience—show it! Create a portfolio of your projects, especially those involving machine learning and data optimisation. This will give potential employers a taste of what you can do and how you think.
✨Ace the Interview
Prepare for interviews by practising common data science questions and case studies. Be ready to discuss your past projects in detail, focusing on the impact they had. Remember, it’s not just about the technical skills; they want to see how you can drive business value.
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It shows you're genuinely interested and gives us a chance to see your application first-hand. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Lead Data Scientist in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Scientist role. Highlight your experience with machine learning models and any relevant projects that showcase your skills in forecasting and optimisation. We want to see how you can drive insights and make an impact!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about joining an AI-first organisation like ours. Share specific examples of how you've applied data science in real-world scenarios, especially in fast-paced environments.
Showcase Your Technical Skills: Don’t forget to highlight your strong Python skills and experience with large datasets. We’re looking for someone who can build scalable algorithms, so include any relevant technical achievements or projects that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Omnis Partners
✨Know Your Stuff
Make sure you brush up on your Python skills and be ready to discuss your experience with machine learning models. Be prepared to explain your approach to forecasting and optimisation problems, as these are key areas for the role.
✨Showcase Real-World Impact
Prepare examples of how you've applied data science in real-world scenarios, especially in fast-paced environments. Highlight specific projects where your insights led to tangible business improvements or cost reductions.
✨Engage with Stakeholders
Think about how you can translate complex technical concepts into business value. During the interview, demonstrate your ability to communicate effectively with non-technical stakeholders, showcasing your collaborative mindset.
✨Embrace Curiosity
Exhibit your proactive nature by discussing how you stay updated with the latest trends in AI and data science. Share any personal projects or learning experiences that reflect your curiosity and adaptability in a rapidly evolving tech landscape.