Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and improve demand forecasting models using Python and SQL.
- Company: Join a high-growth global e-commerce retailer with a data-driven culture.
- Benefits: Competitive salary of £50k plus benefits, hybrid work model.
- Why this job: Make a real impact by turning data into actionable forecasts.
- Qualifications: Degree in relevant field and 1-3 years of data science experience.
- Other info: Dynamic environment with opportunities for learning and leadership.
The predicted salary is between 36000 - 60000 £ per year.
We’re hiring for a Data Scientist to join a high-growth, data-driven business where forecasting directly shapes commercial and operational decisions. This is a hands-on role for someone who thrives in pace, ambiguity and impact.
You’ll be embedded with a small, high-performing team in the heart of the business, partnering with Sales, Marketing, Supply Chain and Finance to turn data into forecasts people actually rely on.
What you’ll be doing:- Building and improving demand forecasting models across fast-moving product lines
- Using time-series methods, regression and applied ML to predict real-world demand
- Running scenario modelling around promotions, pricing and seasonality
- Analysing customer behaviour and commercial drivers to improve forecast accuracy
- Owning forecast performance — accuracy, bias, variance — and fixing what breaks
- Translating complex analysis into clear, commercial insights for planning and S&OP
- Working closely with Data & Platform Engineering to ship production-ready models
- Educated to at least degree level in a relevant subject; Mathematics, Statistics, Machine Learning, Computer Science, Physics, Chemistry, Economics, Engineering etc.
- 1–3 years’ experience as a Data Scientist in a D2C, ecommerce or consumer environment
- Strong foundations in forecasting and time-series analysis
- Hands-on with Python & SQL (Pandas, NumPy, Scikit-learn, Statsmodels)
- Experience with Prophet, ARIMA and/or Gradient Boosting (XGBoost)
- Comfortable working in fast-changing environments with imperfect data
- Clear communicator — able to influence both technical and commercial stakeholders
- Real ownership of models used in live business decisions
- Exposure to end-to-end forecasting, not just analysis in isolation
- A culture that values speed, learning and practical impact
Data Scientist in City of London employer: Omnis Partners
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving forecasting and time-series analysis. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss your experience with models like ARIMA or XGBoost, and how you've used them in real-world scenarios.
✨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 Data Scientist in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, SQL, and forecasting methods. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data science and how you can contribute to our high-growth environment. Let us know why you’re excited about this opportunity at StudySmarter.
Showcase Relevant Projects: If you've worked on any projects related to demand forecasting or time-series analysis, make sure to mention them. We love seeing practical examples of your work that demonstrate your skills in action!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Omnis Partners
✨Know Your Forecasting Techniques
Make sure you brush up on your knowledge of time-series methods and regression techniques. Be ready to discuss how you've applied these in past roles, especially with tools like Prophet or ARIMA. This will show that you can hit the ground running in a fast-paced environment.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python and SQL. Have examples ready where you've used libraries like Pandas or Scikit-learn to solve real-world problems. Being hands-on is key, so don’t shy away from discussing specific projects you've worked on.
✨Communicate Clearly
Since you'll be working with various teams, practice explaining complex data insights in simple terms. Think about how you can influence both technical and commercial stakeholders with your findings. Clear communication can set you apart from other candidates.
✨Embrace the Ambiguity
This role thrives in a high-growth, ambiguous environment. Prepare to discuss how you've navigated uncertainty in previous positions. Share examples of how you adapted your forecasting models when faced with imperfect data or changing business needs.
