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- Tasks: Develop advanced pricing and marketing models using statistics and Python.
- Company: Leading global digital services provider based in Newcastle upon Tyne.
- Benefits: Medical insurance, learning opportunities, and a competitive pension plan.
- Why this job: Make a real impact by delivering business insights and optimising models.
- Qualifications: Masters degree and 5+ years in data science required.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading global digital services provider is seeking a Senior Data Science Consultant in Newcastle upon Tyne. The role focuses on developing advanced pricing and marketing optimization models, leveraging expertise in statistics and Python.
Candidates should possess a Masters degree and a minimum of 5 years in data science. The successful candidate will work cross-functionally to deliver business insights and optimize models for production.
Great benefits include medical insurance, learning opportunities, and a competitive pension plan.
Senior Data Science Consultant: Bayesian Pricing & Marketing Optimization in Newcastle upon Tyne employer: EPAM
Contact Detail:
EPAM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Science Consultant: Bayesian Pricing & Marketing Optimization in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field, especially those who work in pricing and marketing optimisation. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in statistics and Python. This is your chance to demonstrate your expertise in developing advanced models. Make sure to highlight any cross-functional work you've done to deliver business insights.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience in data science and how it relates to pricing and marketing optimisation. Practice common interview questions and think of examples that showcase your problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people. Let’s get you that Senior Data Science Consultant role!
We think you need these skills to ace Senior Data Science Consultant: Bayesian Pricing & Marketing Optimization in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially with Bayesian methods and Python. We want to see how your skills align with 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 pricing and marketing optimisation. We love seeing candidates who can connect their personal experiences to our mission.
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled complex data challenges in the past. We’re looking for someone who can think critically and deliver actionable insights, so let us know how you’ve done this before!
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’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at EPAM
✨Know Your Stats
Brush up on your statistical knowledge, especially around Bayesian methods. Be ready to discuss how you've applied these techniques in past projects, as this will show your depth of understanding and practical experience.
✨Showcase Your Python Skills
Prepare to demonstrate your proficiency in Python. Bring examples of code or projects where you've used Python for data analysis or model optimisation. This will help the interviewers see your technical capabilities in action.
✨Cross-Functional Collaboration
Think of examples where you've worked with different teams to deliver insights. Be ready to explain how you communicated complex data findings to non-technical stakeholders, as this is crucial for the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to pricing and marketing optimisation. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.