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- Tasks: Tackle demand forecasting and pricing strategy challenges using data science.
- Company: Leading data science recruitment firm in Leeds with a collaborative culture.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a vibrant environment with excellent career advancement opportunities.
- Why this job: Make a real impact on data-driven projects in a dynamic team.
- Qualifications: Strong background in statistics, data analysis, and programming skills in Python, R, or Julia.
The predicted salary is between 40000 - 50000 £ per year.
A leading data science recruitment firm in Leeds is looking for a Data Scientist to tackle challenges in demand forecasting and pricing strategy. The ideal candidate will have a strong background in statistics and data analysis, with experience in programming languages such as Python, R, or Julia. This role offers an opportunity to contribute to impactful data science projects in a collaborative environment.
Applied Data Scientist: Forecasting, Pricing & Insights employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Data Scientist: Forecasting, Pricing & Insights
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or at local meetups. Building connections can lead to job opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in demand forecasting and pricing strategies. Use platforms like GitHub to share your code and analyses, making it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your statistics and programming knowledge. Practice common data science interview questions and be ready to discuss your past projects in detail. We want you to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Applied Data Scientist: Forecasting, Pricing & Insights
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in statistics and data analysis. We want to see how your skills in Python, R, or Julia can tackle the challenges mentioned in the job description.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about demand forecasting and pricing strategy, and how you can contribute to our collaborative environment.
Showcase Relevant Projects: If you've worked on any projects related to data science, especially in forecasting or pricing, make sure to include them. We love seeing real-world applications of your skills!
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 us!
How to prepare for a job interview at Harnham
✨Know Your Stats
Brush up on your statistics knowledge! Be prepared to discuss key concepts and how they apply to demand forecasting and pricing strategies. Having real-world examples ready can really impress the interviewers.
✨Show Off Your Coding Skills
Make sure you’re comfortable with Python, R, or Julia. You might be asked to solve a coding problem or explain your previous projects. Practising common data manipulation tasks in these languages will help you shine.
✨Understand the Business Context
Research the company and its industry. Knowing how data science impacts their pricing strategy and demand forecasting will show that you’re not just a techie but also understand the bigger picture.
✨Prepare for Collaboration Questions
Since this role is in a collaborative environment, be ready to discuss your experience working in teams. Think of examples where you contributed to a project and how you handled any challenges that arose.