Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead marketing effectiveness through data collection, analysis, and modelling.
- Company: Join a leading pharmaceutical client making waves in data science.
- Benefits: Enjoy a hybrid work model with one day in the office and competitive pay.
- 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 required.
- Other info: This is a 6-month contract role offering £688 daily.
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.
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.
Senior Data Scientist (Marketing Mix Modelling/Python/Pymc) - £688 (Inside IR35) - London employer: Ventula Consulting
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
✨Tip Number 1
Familiarise yourself with the latest trends in marketing mix modelling. Understanding how companies are currently leveraging these models can give you an edge in discussions during interviews.
✨Tip Number 2
Network with professionals in the data science and marketing fields. Engaging with others who have experience in marketing mix modelling can provide insights and potentially lead to referrals.
✨Tip Number 3
Brush up on your Python and Pymc skills by working on relevant projects or contributing to open-source initiatives. Demonstrating your practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss specific examples of your past work with regression-based models and Bayesian methods. Being able to articulate your hands-on experience will showcase your expertise effectively.
We think you need these skills to ace Senior Data Scientist (Marketing Mix Modelling/Python/Pymc) - £688 (Inside IR35) - 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 roles 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 Senior Data Scientist role. Mention your strong background in statistical modelling and any relevant projects you've worked on that align with the job description.
Showcase Relevant Skills: Clearly outline your skills in regression-based models and Bayesian methods. Provide concrete examples of how you've applied these techniques in previous positions to drive marketing effectiveness.
Proofread Your Application: Before submitting, carefully proofread your application materials. Ensure there are no typos or grammatical errors, as attention to detail is crucial in data science roles.
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 scenario-based questions that assess your problem-solving skills in real-world situations. Think about challenges you've faced in previous roles and how you overcame them, particularly in relation to data validation and model robustness.
✨Familiarise Yourself with Cloud-Based Frameworks
Since the role requires knowledge of cloud-based data science frameworks, brush up on your understanding of these technologies. Be prepared to discuss how you've used them in past projects and how they can enhance data collection and analysis.
