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- Tasks: Drive marketing effectiveness through data collection, analysis, and model building.
- Company: Leading pharmaceutical client focused on innovative marketing solutions.
- Benefits: Competitive daily rate, hybrid work structure, and a dynamic team environment.
- Why this job: Make a real impact in marketing with cutting-edge data science techniques.
- Qualifications: Expertise in Python, PyMC, and experience with marketing mix models required.
- Other info: 6-month contract with excellent career growth opportunities.
The predicted salary is between 50000 - 84000 £ per year.
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.
Responsibilities
- Oversee data collection, extraction, manipulation, analysis and validation to ensure data is ready for modelling.
- Collaborate with the Data Science team to build base models according to project specifications.
- Ensure robustness and validity of models used for marketing effectiveness analysis.
Requirements
- Strong experience developing and implementing marketing mix models.
- Expert in Python and experience with R programming and ideally MMM models.
- Strong experience with PyMC is essential.
- Experience with regression-based models in an MMM context.
- Strong understanding of statistical modelling and machine learning techniques.
- Experience with probabilistic programming and Bayesian methods.
- Good working knowledge of cloud-based data science frameworks.
Contract and Structure
This is a 6 month contract position with 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.
Seniority and Employment Type
Seniority level: Director
Employment type: Full-time
Industries
Marketing Services
Pharmaceutical Manufacturing
MMM Data Scientist, Bayesian, Python, Pymc in England employer: Ventula Consulting
Contact Detail:
Ventula Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MMM Data Scientist, Bayesian, Python, Pymc in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the pharmaceutical and data science fields. Attend industry meetups or webinars to make new contacts. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with marketing mix models, Python projects, and any relevant analyses. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Bayesian methods and statistical modelling techniques. Be ready to discuss your experience with PyMC and how you've applied it 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 MMM Data Scientist, Bayesian, Python, Pymc in England
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 makes you a perfect fit for this role. Let us know what excites you about working with our team.
Showcase Your Technical Skills: Since we’re looking for expertise in PyMC and Bayesian methods, make sure to mention any specific projects or experiences that demonstrate your proficiency. We love seeing real-world applications of your skills!
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 Ventula Consulting
✨Know Your Models Inside Out
Make sure you can discuss your experience with marketing mix models in detail. Be prepared to explain how you've developed and implemented these models, especially using Python and PyMC. Highlight specific projects where you've ensured the robustness and validity of your models.
✨Brush Up on Bayesian Methods
Since this role requires a strong understanding of Bayesian methods, take some time to review key concepts and applications. Be ready to discuss how you've applied probabilistic programming in your previous work and how it relates to marketing effectiveness.
✨Showcase Your Collaboration Skills
This position involves working closely with a Data Science team, so be prepared to share examples of how you've successfully collaborated on projects. Discuss how you’ve contributed to building base models and how you ensure data readiness for modelling.
✨Familiarise Yourself with Cloud Frameworks
As the job mentions a good working knowledge of cloud-based data science frameworks, make sure you can talk about your experience with these tools. Whether it's AWS, Google Cloud, or Azure, be ready to explain how you've used them in your data science projects.