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- 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 London employer: Omnis Partners
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your forecasting models and data analysis projects. We recommend using platforms like GitHub to share your work; it’s a great way to demonstrate your hands-on experience with Python and SQL.
✨Tip Number 3
Prepare for those interviews! Brush up on your time-series analysis and be ready to discuss how you’ve used it in real-world scenarios. We suggest practising common interview questions related to demand forecasting and data science to boost your confidence.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented Data Scientists. By applying directly, you’ll have a better chance of getting noticed by our hiring team, so don’t hesitate to take that step!
We think you need these skills to ace Data Scientist in 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!
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 real-world applications of your skills, so don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Omnis Partners
✨Know Your Forecasting Models
Make sure you brush up on your knowledge of demand forecasting models, especially time-series methods like ARIMA and Prophet. Be ready to discuss how you've used these in past projects and the impact they had on business decisions.
✨Showcase Your Technical Skills
Since this role requires hands-on experience with Python and SQL, prepare to demonstrate your proficiency. You might be asked to solve a problem on the spot, so practice coding challenges that involve data manipulation and analysis using libraries like Pandas and NumPy.
✨Communicate Clearly
This position involves translating complex data insights into actionable recommendations for various stakeholders. Practice explaining your past projects in simple terms, focusing on the commercial implications of your findings. This will show your ability to bridge the gap between technical and non-technical teams.
✨Prepare for Scenario Modelling Questions
Expect questions around scenario modelling, especially related to promotions and seasonality. Think of examples where you've successfully predicted demand fluctuations and be ready to discuss your thought process and the outcomes of your models.
