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- Tasks: Drive marketing effectiveness through advanced data modelling and analysis.
- Company: Leading pharmaceutical client focused on innovative data solutions.
- Benefits: Competitive daily rate, hybrid work structure, and contract flexibility.
- Other info: 6-month contract with opportunities for professional growth.
- Why this job: Join a dynamic team to shape marketing strategies with cutting-edge data science.
- Qualifications: Expertise in Python, R, and strong experience with marketing mix models.
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.
MMM, Bayesian, PyMC Data Scientist in City of London employer: Ventula Consulting
Contact Detail:
Ventula Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MMM, Bayesian, PyMC Data Scientist in City of London
✨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 meet potential employers and showcase your skills. Remember, it’s all about who you know!
✨Tip Number 2
Prepare for those interviews! Brush up on your knowledge of marketing mix models and Bayesian methods. Be ready to discuss your experience with Python and PyMC in detail. We want to see you shine, so practice common interview questions and have your own ready too!
✨Tip Number 3
Showcase your projects! If you’ve worked on relevant projects, create a portfolio that highlights your expertise in statistical modelling and machine learning techniques. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Don’t hesitate to submit your application directly, and keep an eye on new opportunities that pop up. Let’s land that dream job together!
We think you need these skills to ace MMM, Bayesian, PyMC Data Scientist in City of London
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 expertise in Bayesian methods and Pymc!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Senior Data Scientist role. We love seeing enthusiasm for data science and how you can drive marketing effectiveness.
Showcase Relevant Projects: If you've worked on projects involving regression-based models or probabilistic programming, make sure to mention them. We’re keen to see real-world applications of your skills, so share those success stories!
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 and Bayesian methods in detail. Be prepared to explain how you've implemented these models in past projects, including any challenges you faced and how you overcame them.
✨Show Off Your Python Skills
Since expertise in Python is crucial for this role, brush up on your coding skills. Be ready to demonstrate your proficiency by discussing specific libraries or frameworks you've used, especially in the context of data manipulation and analysis.
✨Prepare for Technical Questions
Expect questions that dive deep into statistical modelling and machine learning techniques. Review key concepts and be ready to solve problems on the spot, as this will showcase your analytical thinking and problem-solving abilities.
✨Understand the Company’s Needs
Research the pharmaceutical client and their marketing strategies. Tailor your responses to show how your skills can directly contribute to their goals, particularly in driving marketing effectiveness through data-driven insights.