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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, marketing mix modelling, and proficiency in Python.
- Other info: Collaborative team environment with exciting projects and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
LeadingpharmaceuticalclientnowrequiresaSeniorDataScientisttodrivemarketingeffectivenessviamarketingmixmodellingandothermodels.
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 working in data science or at the company you're eyeing. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Bayesian methods and Python. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common data science questions and be ready to discuss your experience with marketing mix modelling. Confidence is key!
✨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 the attention it deserves.
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 a 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: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Ventula Consulting Limited
✨Know Your Bayesian Basics
Make sure you brush up on your Bayesian statistics before the interview. Be ready to discuss how you’ve applied these concepts in past projects, especially in marketing mix modelling. This will show that you not only understand the theory but can also implement it practically.
✨Showcase Your Python Skills
Prepare to demonstrate your proficiency in Python, particularly with libraries like PyMC. You might be asked to solve a problem on the spot, so practice coding challenges related to data manipulation and analysis. This will help us see your technical skills in action.
✨Data Handling is Key
Since the role involves data collection and validation, be ready to discuss your experience with data extraction and manipulation. Bring examples of how you've ensured data quality in previous roles, as this will highlight your attention to detail and analytical mindset.
✨Collaborative Spirit
This position requires working closely with the Data Science team, so be prepared to talk about your teamwork experiences. Share specific instances where collaboration led to successful outcomes, demonstrating that you can communicate effectively and contribute positively to a team environment.
