At a Glance
- Tasks: Create demand models and forecasts using your analytical skills.
- Company: Leading analytics firm with a focus on innovation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make an impact by transforming data into actionable insights.
- Qualifications: 2+ years in analytics or Machine Learning and strong database experience.
- Other info: Collaborate with diverse teams in a dynamic remote environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading analytics firm is seeking an Applied Data Scientist to create demand models and forecasts. This role, ideal for individuals with strong analytical skills and 2+ years in analytics or Machine Learning, involves collaboration with Professional Services and Customer Success teams. Remote work is possible within the UK.
Applicants should have strong experience with databases and scripting, coupled with excellent communication skills for conveying complex data insights to varied audiences.
Applied Data Scientist — Demand Forecasting & Pricing (Remote) in London employer: Revionics
Contact Detail:
Revionics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Data Scientist — Demand Forecasting & Pricing (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the analytics field on LinkedIn or at industry events. A friendly chat can open doors and give you insights into the company culture.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your demand models and forecasts. This is your chance to demonstrate your analytical prowess and make a lasting impression.
✨Tip Number 3
Prepare for the interview by brushing up on your communication skills. Practice explaining complex data insights in simple terms, as you'll need to convey your findings to diverse audiences.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Applied Data Scientist — Demand Forecasting & Pricing (Remote) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in analytics and Machine Learning. We want to see how your skills align with the demand forecasting and pricing aspects of the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how your background makes you a perfect fit for our team. Remember, we love seeing your personality come through!
Showcase Your Communication Skills: Since you'll be conveying complex data insights, it's crucial to demonstrate your ability to communicate effectively. Use clear language and examples in your application to show us you can make data understandable for everyone.
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. Plus, it’s super easy!
How to prepare for a job interview at Revionics
✨Know Your Data Inside Out
Make sure you’re well-versed in the data models and forecasting techniques relevant to demand forecasting. Brush up on your analytical skills and be ready to discuss specific projects where you've applied these methods.
✨Showcase Your Communication Skills
Since this role involves conveying complex insights, practice explaining your past projects in simple terms. Think about how you can make technical details accessible to non-technical audiences, as this will be crucial in your collaboration with Professional Services and Customer Success teams.
✨Familiarise Yourself with Databases and Scripting
Be prepared to discuss your experience with databases and scripting languages. Have examples ready that demonstrate your proficiency and how you’ve used these skills to solve real-world problems in analytics or machine learning.
✨Research the Company Culture
Understanding the company’s values and culture can give you an edge. Look into their approach to analytics and customer success, and think about how your personal values align with theirs. This will help you articulate why you’re a great fit for the team.