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- 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 is essential.
- Other info: This is a 6-month contract role offering £688 daily.
The predicted salary is between 50000 - 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
✨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. Attend relevant meetups or webinars to connect with others who may have insights into the role or the company, which could be beneficial for your application.
✨Tip Number 3
Brush up on your Python and Pymc skills by working on personal projects or contributing to open-source projects. This hands-on experience will not only enhance your skills but also provide you with concrete examples to discuss in interviews.
✨Tip Number 4
Prepare to discuss your experience with regression-based models and Bayesian methods in detail. Be ready to explain your thought process and the impact of your work in previous roles, as this will demonstrate your expertise and suitability for the position.
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 previous 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 that showcase your skills in regression-based models and Bayesian methods.
Showcase Relevant Projects: If you have worked on specific projects involving marketing mix modelling or cloud-based data science frameworks, be sure to include these in your application. Detail your contributions and the outcomes of these projects.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a data-driven role.
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 your experience with regression-based models and how you've used them to drive marketing effectiveness.
✨Prepare for Statistical Questions
Expect questions related to statistical modelling and machine learning techniques. Brush up on Bayesian methods and probabilistic programming, as these are crucial for the role. Providing examples from your past work can help illustrate your knowledge.
✨Discuss Cloud-Based Frameworks
Since the role requires knowledge of cloud-based data science frameworks, be prepared to talk about your experience with these technologies. Mention any specific platforms you've worked with and how they have enhanced your data science projects.
