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For Companies At a Glance
- Tasks: Create market analysis and forecasts to drive pricing decisions using data science.
- Company: Global consumer business with a focus on innovation and collaboration.
- Benefits: Competitive salary, excellent benefits, and hybrid working model.
- Why this job: Make an impact by developing pricing systems and algorithms in a dynamic environment.
- Qualifications: 5+ years in statistical modelling with R, Python, or similar tools.
- Other info: Join a fast-paced team that values continuous improvement and learning.
The predicted salary is between 36000 - 60000 £ per year.
Our client, a global consumer business, are currently hiring for a Data Scientist to create market analysis and forecasts to drive pricing decisions. The primary responsibility is to develop, test and operate pricing systems and algorithms using SQL, Python, data analysis and statistics.
Responsibilities
- Design and develop methodology, algorithmic pricing actions and tests
- Revenue management research
- Analyse and present results to subject matter experts
- Forecasting and demand modelling
- Liaising with stakeholders in Commercial, IT and Operations to explore ideas and develop solutions
- Maintaining codebase and documentation
Requirements
- Minimum 5 years' experience with applied statistical modelling with R, Python, Julia, SAS, Stata, SPSS, JMP, Minitab or other software
- Willingness to work in Python and SQL
- Experience in C is an advantage
- Experience in pricing / revenue management forecasting and inventory management
- Results-oriented
- Collaborative
- Continuous improvement and continuous learning
- Comfortable in a fast-paced and challenging environment
- High tolerance for ambiguity and change
This is a full time, permanent position working on a hybrid basis, with the requirement to be in the office in Luton, Beds 2-3 days per week. Our client offers excellent remuneration and benefits package.
Data Scientist employer: MarkJames Search
Contact Detail:
MarkJames Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, algorithms, and any relevant work you've done. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with SQL, Python, and statistical modelling. Practice common interview questions and think about how you can demonstrate your results-oriented mindset.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for talented individuals like you to join our team!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with SQL, Python, and any statistical modelling tools you've used. We want to see how your skills match what we're looking for!
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 previous experiences have prepared you for this role. Let us know what excites you about working with us!
Showcase Your Projects: If you've worked on relevant projects, make sure to mention them! Whether it's algorithmic pricing actions or demand modelling, we love seeing real-world applications of your skills. Share links or summaries if possible!
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. We can’t wait to hear from you!
How to prepare for a job interview at MarkJames Search
✨Know Your Algorithms
Brush up on your knowledge of algorithmic pricing and statistical modelling. Be ready to discuss specific algorithms you've developed or worked with, and how they impacted pricing decisions in your previous roles.
✨Showcase Your Coding Skills
Since Python and SQL are 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 and be ready to explain your thought process.
✨Prepare for Stakeholder Scenarios
Think about past experiences where you collaborated with stakeholders from different departments. Be prepared to share examples of how you communicated complex data insights to non-technical team members and how you contributed to cross-functional projects.
✨Embrace the Ambiguity
This role requires a high tolerance for ambiguity and change. Prepare to discuss how you've navigated uncertain situations in your previous jobs, and highlight your adaptability and problem-solving skills in fast-paced environments.
