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- Tasks: Drive marketing effectiveness through advanced data modelling and analysis.
- Company: Leading pharmaceutical client with a focus on innovation.
- Benefits: Competitive daily rate, hybrid work model, and contract flexibility.
- Other info: 6-month contract with opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the pharmaceutical industry.
- Qualifications: Expertise in Python, Pymc, and marketing mix models required.
Leading pharmaceutical client now requires a Senior 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 and implementing marketing mix models.
- Expert in Python and previous experience with R programming and ideally with MMM models.
- Strong experience with Pymc is essential.
- Experience with Regression based models in an MMM context.
- 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 6 month contract position which provides a daily rate of £688 (Inside IR35). In terms of working structure, this role is hybrid with one day per week in their London office and the rest remote.
MMM, Bayesian, PyMC Data Scientist in London employer: Energy Jobline ZR
Contact Detail:
Energy Jobline ZR Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MMM, Bayesian, PyMC Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with marketing mix models or Bayesian methods. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your experience with Python, R, and PyMC. Include examples of your marketing mix models and any cool projects you've worked on. This will make you stand out when we’re looking for candidates.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical modelling and machine learning techniques. Be ready to discuss how you’ve applied these in real-world scenarios, especially in an MMM context. We love seeing practical applications!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team and contributing to exciting projects.
We think you need these skills to ace MMM, Bayesian, PyMC Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with marketing mix models and Python. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
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 your background in Bayesian methods and PyMC makes you a perfect fit for us.
Showcase Your Technical Skills: Since this role requires strong expertise in statistical modelling and machine learning, make sure to mention specific projects or experiences where you’ve successfully applied these techniques. We love seeing real-world applications!
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 from our team!
How to prepare for a job interview at Energy Jobline ZR
✨Know Your Models Inside Out
Make sure you can discuss your experience with marketing mix models and Bayesian methods in detail. Be prepared to explain how you've implemented these models in past projects, as well as the challenges you faced and how you overcame them.
✨Show Off Your Python Skills
Since expertise in Python is crucial for this role, brush up on your coding skills. Be ready to demonstrate your proficiency by discussing specific libraries or frameworks you've used, and maybe even solve a coding challenge during the interview.
✨Prepare for Technical Questions
Expect questions about statistical modelling and machine learning techniques. Review key concepts and be ready to explain how you've applied them in real-world scenarios, especially in relation to regression-based models.
✨Understand the Company’s Needs
Research the pharmaceutical client and their marketing strategies. Tailor your responses to show how your skills can directly contribute to their goals, particularly in driving marketing effectiveness through data science.