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- Tasks: Drive marketing effectiveness through data collection, analysis, and modelling.
- Company: Leading pharmaceutical client focused on innovative data solutions.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact in the pharmaceutical industry with your data science skills.
- Qualifications: Experience in data science, Python, and Bayesian modelling required.
- Other info: Collaborative team environment with exciting projects and career advancement.
The predicted salary is between 42000 - 60000 £ per year.
LeadingpharmaceuticalclientnowrequiresaSeniorDataScientisttodrivemarketingeffectivenessviamarketingmixmodellingandothermodels.
Apply (by clicking the relevant button) after checking through all the related job information below.
Thisrolewilloverseedatacollection,extraction,manipulation,analysisandvalidationensuringdataisreadyformodelling.
YouwillworkcloselywiththeDataScienceteamtobuildbasemodelsaccordingtoprojectspecificationsandensuretherobustnessandvalidityofthosemodels.
Requirements:
- Strongexperien…
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MMM Data Scientist, Bayesian, Python, Pymc employer: Ventula Consulting Limited
Contact Detail:
Ventula Consulting Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MMM Data Scientist, Bayesian, Python, Pymc
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Since this role involves Bayesian methods and Python, make sure you can confidently discuss your experience with these tools and how you've applied them in real-world scenarios.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, having tangible examples of your work can really set you apart. Make sure to highlight any marketing mix modelling projects you've tackled.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace MMM Data Scientist, Bayesian, Python, Pymc
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Data Scientist. Highlight your experience with marketing mix modelling and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Skills: Don’t forget to showcase your technical skills, especially in Python and Bayesian methods. Include specific examples of how you've used these skills in past roles. This will help us see your expertise in action!
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 you can contribute to our team. We love seeing enthusiasm and a good fit for our culture.
Apply Through Our Website: When you're ready to apply, make sure to do it through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to hear from you!
How to prepare for a job interview at Ventula Consulting Limited
✨Know Your Data
Make sure you’re well-versed in data collection, extraction, and manipulation techniques. Brush up on your experience with Python and Pymc, as these will be crucial for the role. Be ready to discuss specific projects where you've applied these skills.
✨Understand Marketing Mix Modelling
Familiarise yourself with marketing mix modelling concepts and how they drive marketing effectiveness. Prepare to explain how you’ve used these models in past roles and the impact they had on decision-making.
✨Showcase Your Analytical Skills
Be prepared to demonstrate your analytical thinking during the interview. You might be asked to solve a problem on the spot, so practice explaining your thought process clearly and logically.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategies and how the Data Science team collaborates with other departments. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
