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- Tasks: Drive marketing effectiveness through Bayesian modelling and data analysis.
- Company: Leading pharmaceutical client with a focus on innovation.
- Benefits: Competitive daily rate, hybrid work structure, and contract flexibility.
- Other info: 12-month contract with excellent opportunities for professional growth.
- Why this job: Make a real impact in marketing strategies using advanced data science techniques.
- Qualifications: Strong experience in Bayesian models, Python, and Pymc required.
The predicted salary is between 130000 - 130000 £ 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:
- Strong experience developing Bayesian models
- 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) in Stoke-on-Trent employer: Ventula Consulting LTd
Contact Detail:
Ventula Consulting LTd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Bayesian Data Scientist (PyMC) in Stoke-on-Trent
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work with Bayesian models. 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 work with PyMC and Bayesian models. This could be a GitHub repo or a personal website where you share projects that highlight your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical modelling knowledge. Be ready to discuss your experience with regression models and how you've applied Bayesian methods in real-world scenarios.
✨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 get noticed by our hiring team.
We think you need these skills to ace Bayesian Data Scientist (PyMC) in Stoke-on-Trent
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Bayesian models and Python. We want to see how your skills align with the job description, so don’t be shy about showcasing your expertise in PyMC and statistical modelling.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. We love seeing enthusiasm for data science and how you can drive marketing effectiveness through your work.
Showcase Relevant Projects: If you've worked on projects involving regression-based models or probabilistic programming, make sure to mention them. We’re keen to see real-world applications of your skills, so include any relevant examples that demonstrate your capabilities.
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Ventula Consulting LTd
✨Know Your Bayesian Basics
Make sure you brush up on your Bayesian modelling concepts before the interview. Be ready to discuss how you've applied these techniques in past projects, especially using PyMC. This will show that you not only understand the theory but can also implement it effectively.
✨Showcase Your Python Skills
Since expertise in Python is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain your code. Practise writing clean, efficient code and be ready to discuss your thought process while coding.
✨Discuss Data Handling Experience
Be prepared to talk about your experience with data collection, extraction, and manipulation. Highlight specific tools or frameworks you've used, especially in cloud-based environments. This will help illustrate your ability to manage data effectively for modelling.
✨Prepare for Statistical Questions
Expect questions on statistical modelling and machine learning techniques. Brush up on regression models and probabilistic programming. Being able to explain these concepts clearly will demonstrate your depth of knowledge and confidence in the subject matter.