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- Tasks: Lead marketing effectiveness through data collection, analysis, and modelling.
- Company: Join a leading pharmaceutical client making waves in the industry.
- Benefits: Enjoy a hybrid work model with one day in the office and a competitive daily rate.
- Why this job: Be part of a dynamic team driving impactful marketing strategies with cutting-edge techniques.
- Qualifications: Expertise in Python, Pymc, and marketing mix models is essential.
- Other info: This is a 6-month contract role offering £688 per day (Inside IR35).
The predicted salary is between 60000 - 72000 £ 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.
Requirements:
- Strong experience developing and implementing marketing mix models.
- Expert in Python and previous experience with R programming for 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.
Contact Detail:
Ventula Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (Marketing Mix Modelling/Python/Pymc) - £688 (Inside IR35) - London (City of London)
✨Tip Number 1
Make sure to showcase your experience with marketing mix modelling in your conversations. Be prepared to discuss specific projects where you've successfully implemented these models and the impact they had on marketing effectiveness.
✨Tip Number 2
Brush up on your Python and Pymc skills before the interview. You might be asked to solve a problem or explain your approach to building models, so being able to demonstrate your technical expertise will set you apart.
✨Tip Number 3
Familiarise yourself with the latest trends in statistical modelling and machine learning techniques relevant to marketing. Being able to discuss how these can be applied in a practical context will show your depth of knowledge and enthusiasm for the role.
✨Tip Number 4
Network with professionals in the data science and marketing fields. Engaging with others who have similar roles can provide insights into the company culture and expectations, which can be invaluable during your application process.
We think you need these skills to ace Senior Data Scientist (Marketing Mix Modelling/Python/Pymc) - £688 (Inside IR35) - London (City of London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with marketing mix modelling, Python, and Pymc. Use specific examples from your past work to demonstrate your expertise in these areas.
Craft a Compelling Cover Letter: In your cover letter, explain why you are the perfect fit for this role. Mention your strong background in statistical modelling and machine learning techniques, and how they relate to the requirements of the position.
Showcase Relevant Projects: If you have worked on projects involving regression-based models or Bayesian methods, be sure to include these in your application. Detail your role and the impact of your contributions.
Highlight Cloud Experience: Since the role requires knowledge of cloud-based data science frameworks, mention any relevant experience you have with these technologies. This will show that you are well-prepared for the hybrid working structure.
How to prepare for a job interview at Ventula Consulting
✨Showcase Your Technical Skills
Make sure to highlight your expertise in Python and Pymc during the interview. Be prepared to discuss specific projects where you've implemented marketing mix models and how you approached data manipulation and analysis.
✨Demonstrate Your Understanding of MMM
Be ready to explain the principles of marketing mix modelling and how it applies to the pharmaceutical industry. Discuss any relevant experience you have with regression-based models and Bayesian methods, as this will be crucial for the role.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would handle data validation and ensure model robustness, and be ready to share examples from your past work.
✨Familiarise Yourself with Cloud-Based Frameworks
Since the role requires knowledge of cloud-based data science frameworks, brush up on your experience with these tools. Be prepared to discuss how you've used them in previous projects and how they can enhance data analysis and modelling.
