Bayesian MMM Data Scientist (Python, PyMC) Hybrid/Remote

Bayesian MMM Data Scientist (Python, PyMC) Hybrid/Remote

Temporary 100000 - 100000 € / year (est.) Home office (partial)
Ventula Consulting

At a Glance

  • Tasks: Drive marketing effectiveness through data modelling and collaborate with the Data Science team.
  • Company: Ventula Consulting, a leading player in the pharmaceutical industry.
  • Benefits: Competitive daily rate of £688, hybrid work setup, and contract for 6 months.
  • Other info: Work in a dynamic environment with opportunities for professional growth.
  • Why this job: Make a real impact on marketing strategies using your data science skills.
  • Qualifications: Strong Python and R programming skills, plus experience with marketing mix models.

The predicted salary is between 100000 - 100000 € per year.

Ventula Consulting, a leading pharmaceutical client, seeks a Senior Data Scientist based in London. This role involves driving marketing effectiveness through data modeling and working with the Data Science team to ensure robust model development.

Requires strong skills in Python, R programming, and experience with marketing mix models.

The contract is for 6 months with a daily rate of £688 (Inside IR35) and a hybrid work setup, requiring one day per week in the London office.

Bayesian MMM Data Scientist (Python, PyMC) Hybrid/Remote employer: Ventula Consulting

Ventula Consulting is an exceptional employer that fosters a collaborative and innovative work culture, ideal for data scientists looking to make a significant impact in the pharmaceutical sector. With a hybrid work model that promotes flexibility and a commitment to employee growth through continuous learning opportunities, you will thrive in an environment that values your expertise in Python and R programming. Join us in London, where you can contribute to meaningful projects while enjoying competitive compensation and a supportive team atmosphere.

Ventula Consulting

Contact Detail:

Ventula Consulting Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Bayesian MMM Data Scientist (Python, PyMC) Hybrid/Remote

Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can sometimes lead to opportunities that aren’t even advertised.

Tip Number 2

Show off your skills! Create a portfolio showcasing your data models and projects, especially those using Python and PyMC. This gives potential employers a taste of what you can do.

Tip Number 3

Prepare for interviews by brushing up on marketing mix models and relevant case studies. We want you to be ready to discuss how you can drive marketing effectiveness with your expertise.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!

We think you need these skills to ace Bayesian MMM Data Scientist (Python, PyMC) Hybrid/Remote

Python
R programming
Data Modelling
Marketing Mix Models
Statistical Analysis
Data Science
Model Development

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with Python, R, and marketing mix models. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can drive marketing effectiveness for our client. Keep it engaging and personal.

Showcase Your Projects:If you've worked on any interesting data modelling projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they relate to marketing effectiveness.

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 us!

How to prepare for a job interview at Ventula Consulting

Know Your Data Models

Make sure you brush up on your knowledge of marketing mix models and how they apply to the pharmaceutical industry. Be ready to discuss specific examples of how you've used data modelling in past projects, especially with Python and R.

Showcase Your Technical Skills

Prepare to demonstrate your proficiency in Python and PyMC during the interview. You might be asked to solve a problem or explain your approach to model development, so practice coding challenges and be ready to articulate your thought process.

Understand the Company’s Needs

Research Ventula Consulting and their work in the pharmaceutical sector. Tailor your responses to show how your skills can drive marketing effectiveness for them. Highlight any relevant experience that aligns with their goals.

Ask Insightful Questions

Prepare thoughtful questions about the role and the team dynamics. This shows your genuine interest in the position and helps you gauge if the company culture is a good fit for you. Consider asking about their current projects or challenges they face in data science.