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- Tasks: Lead advanced analytics initiatives and develop data science models for revenue growth.
- Company: Dynamic consulting firm focused on innovative data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in the CPG/Retail sectors with cutting-edge data science.
- Qualifications: Advanced experience in Python, R, SQL, and leadership skills required.
- Other info: Collaborative environment with a focus on innovation and strategy.
The predicted salary is between 43200 - 72000 £ per year.
A consulting firm is looking for an experienced Senior Data Scientist to focus on Net Revenue Management and lead advanced analytics initiatives. You will develop and enhance data science models, implement machine learning solutions, and collaborate across teams.
Ideal candidates possess advanced experience in Python, R, and SQL, along with a relevant MS or PhD degree. This role requires strong leadership skills and a solid background in the CPG or Retail sectors, making impactful contributions to data science strategy.
Senior Data Scientist, Revenue Growth & NRM (CPG/Retail) employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, Revenue Growth & NRM (CPG/Retail)
✨Tip Number 1
Network like a pro! Reach out to folks in the CPG and Retail sectors on LinkedIn. A friendly chat can open doors and give you insights that might just land you that Senior Data Scientist role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those involving Python, R, and SQL. This will help us see your expertise in action during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your machine learning concepts and be ready to discuss how you've applied them in real-world scenarios. We want to hear about your impact on revenue growth!
✨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 the initiative to connect directly with us.
We think you need these skills to ace Senior Data Scientist, Revenue Growth & NRM (CPG/Retail)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, R, and SQL in your application. We want to see how you've used these tools in real-world scenarios, especially in the CPG or Retail sectors.
Tailor Your Application: Don’t just send a generic CV! We love it when candidates tailor their applications to the role. Mention specific projects or achievements that relate to Net Revenue Management and advanced analytics initiatives.
Leadership Matters: Since this role requires strong leadership skills, share examples of how you've led teams or projects in the past. We’re looking for someone who can inspire and guide others in data science strategies.
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!
How to prepare for a job interview at Lorien
✨Know Your Data Science Models
Make sure you brush up on the data science models you've worked with, especially those relevant to revenue growth and NRM. Be ready to discuss how you've developed or enhanced these models in past roles, as well as any machine learning solutions you've implemented.
✨Showcase Your Technical Skills
Since this role requires advanced experience in Python, R, and SQL, prepare to demonstrate your proficiency in these languages. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to ensure you're sharp and confident.
✨Highlight Leadership Experience
This position calls for strong leadership skills, so think of examples where you've led projects or teams. Be ready to discuss how you’ve collaborated across different teams and how your leadership has made a positive impact on data science strategy.
✨Understand the CPG/Retail Landscape
Familiarise yourself with current trends and challenges in the CPG and retail sectors. Being able to speak knowledgeably about industry-specific issues will show that you’re not just a data whiz but also understand the business context in which you'll be operating.
