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- Tasks: Drive marketing effectiveness through advanced Bayesian data modelling and analysis.
- Company: Leading pharmaceutical client focused on innovative data solutions.
- Benefits: Competitive daily rate, hybrid work structure, and contract flexibility.
- Why this job: Join a dynamic team and make a real impact in the pharmaceutical industry.
- Qualifications: Expertise in Python, PyMC, and statistical modelling required.
- Other info: 12-month contract with excellent opportunities for professional growth.
The predicted salary is between 50000 - 60000 £ per year.
Leading pharmaceutical client now requires a Senior Bayesian Data Scientist to drive marketing effectiveness via marketing mix modelling and other models. This role will oversee data collection, extraction, manipulation, analysis and validation ensuring data is ready for modelling. You will work closely with the Data Science team to build base models according to project specifications and ensure the robustness and validity of those models.
Requirements:
- Expert in Python
- Strong experience with Pymc is essential
- Experience with Regression based models
- Strong understanding of statistical modelling/Machine Learning techniques
- Experience with probabilistic programming and Bayesian methods
- Good working knowledge of cloud-based data science frameworks
This is a 12 month contract position which provides a daily rate of £725 (Inside IR35). In terms of working structure, this role is hybrid with one day per week in their London office and the rest remote.
Bayesian Data Scientist (PyMC) employer: Ventula Consulting
Contact Detail:
Ventula Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Bayesian Data Scientist (PyMC)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work with Bayesian methods. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving PyMC and regression models. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical modelling knowledge. Be ready to discuss your experience with Bayesian methods and how you've applied them in real-world scenarios. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Bayesian Data Scientist (PyMC)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your expertise in Python and PyMC, as these are crucial for the role. We want to see how your experience aligns with the requirements, so don’t be shy about showcasing your skills in statistical modelling and machine learning.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Bayesian Data Scientist position. Mention specific projects where you've successfully applied Bayesian methods or regression models, and how they relate to marketing effectiveness.
Showcase Your Projects: If you’ve worked on relevant projects, whether in a professional setting or as personal endeavours, include them in your application. We love seeing practical examples of your work with data collection, manipulation, and analysis that demonstrate your ability to drive marketing insights.
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 don’t miss out on any important updates regarding the hiring process. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Ventula Consulting
✨Know Your Bayesian Basics
Make sure you brush up on your Bayesian methods and probabilistic programming. Be ready to discuss how you've applied these techniques in past projects, especially using PyMC. This will show your expertise and confidence in the subject.
✨Showcase Your Python Skills
Prepare to demonstrate your Python proficiency. Have examples ready where you've used Python for data manipulation and analysis. If you can, bring a small project or code snippet that highlights your skills with regression models and statistical modelling.
✨Understand the Business Context
Since this role focuses on marketing effectiveness, do some research on marketing mix modelling. Be prepared to discuss how your work can impact marketing strategies and outcomes. This shows that you understand the bigger picture and can align your technical skills with business goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project expectations, and the tools they use. This not only demonstrates your interest in the role but also helps you gauge if the company culture and work style fit your preferences.