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For Companies At a Glance
- Tasks: Create demand forecasting models that drive real business impact.
- Company: Fast-growing data-driven business in the UK with a focus on collaboration.
- Benefits: Competitive salary, ownership of projects, and a culture prioritising speed and impact.
- Why this job: Join a high-performing team and make a tangible difference in the business.
- Qualifications: 1-3 years experience in forecasting, strong Python and SQL skills.
- Other info: Exciting opportunities for growth in a dynamic environment.
The predicted salary is between 30000 - 42000 £ per year.
A high-growth data-driven business in the UK seeks a Data Scientist to develop demand forecasting models. You will be part of a high-performing team and collaborate with departments including Sales and Marketing.
Ideal candidates have:
- 1-3 years of experience
- Strong skills in forecasting and time-series analysis
- Proficiency in Python and SQL
This role offers real ownership of business-critical models and a culture focused on speed and impact.
Demand Forecasting Scientist — Drive Real Business Impact employer: Omnis Partners
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Demand Forecasting Scientist — Drive Real Business Impact
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in demand forecasting or data science. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your forecasting models and time-series analysis projects. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss your past experiences and how they relate to the role. Practice common data science interview questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. It shows initiative and helps us get to know you better.
We think you need these skills to ace Demand Forecasting Scientist — Drive Real Business Impact
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with forecasting and time-series analysis in your application. We want to see how your skills in Python and SQL can drive real business impact!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Demand Forecasting Scientist role. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your key achievements and experiences shine through without any fluff!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Omnis Partners
✨Know Your Forecasting Models
Make sure you brush up on various demand forecasting models and time-series analysis techniques. Be ready to discuss how you've applied these in past roles, as well as any challenges you faced and how you overcame them.
✨Showcase Your Technical Skills
Since proficiency in Python and SQL is key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice writing clean, efficient code that showcases your understanding of data manipulation and analysis.
✨Understand the Business Impact
This role is all about driving real business impact, so come prepared with examples of how your work has influenced business decisions in the past. Think about metrics or outcomes that highlight your contributions and be ready to share them.
✨Collaborate and Communicate
As you'll be working closely with Sales and Marketing, it's important to demonstrate your ability to collaborate effectively. Prepare to discuss how you've worked in cross-functional teams before and how you communicate complex data insights to non-technical stakeholders.
