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- Tasks: Drive marketing effectiveness through data analysis and modelling.
- Company: Leading pharmaceutical client focused on innovation.
- Benefits: Competitive daily rate, hybrid work structure, and contract flexibility.
- Other info: 6-month contract with strong potential for career growth.
- Why this job: Make a real impact in marketing with advanced data science techniques.
- Qualifications: Expertise in Python, R, 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.
Marketing Mix Modelling (MMM) Data Scientist in City of London employer: Ventula Consulting Limited
Contact Detail:
Ventula Consulting Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Mix Modelling (MMM) Data Scientist in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in data science or marketing. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous work with marketing mix models and any relevant projects. 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 technical skills. Be ready to discuss your experience with Python, R, and regression models. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect 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 Marketing Mix Modelling (MMM) Data Scientist in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Marketing Mix Modelling role. Highlight your experience with Python, R, and any MMM models you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've developed marketing mix models or used regression-based techniques. This gives us a clear picture of your hands-on experience and how you can contribute to our team.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for key achievements and avoid jargon unless it's relevant. We appreciate straightforward communication!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to see what you bring to the table!
How to prepare for a job interview at Ventula Consulting Limited
✨Know Your Models Inside Out
Make sure you’re well-versed in marketing mix models and can discuss your previous experiences with them. Be ready to explain how you've developed and implemented these models, as well as the impact they had on marketing effectiveness.
✨Show Off Your Technical Skills
Since this role requires expertise in Python and R, brush up on your coding skills before the interview. Prepare to demonstrate your proficiency by discussing specific projects where you used these languages, especially in the context of MMM.
✨Understand Statistical Techniques
Be prepared to talk about statistical modelling and machine learning techniques. You might be asked to explain regression-based models or Bayesian methods, so having clear examples from your past work will help you stand out.
✨Familiarise Yourself with Cloud Frameworks
As cloud-based data science frameworks are part of the job, make sure you know which ones you’ve worked with. Discuss how you’ve leveraged these tools in your previous roles to enhance data collection and analysis.