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- Tasks: Drive pricing strategy using advanced statistical modelling and probabilistic methods.
- Company: Leading consumer goods client with a remote-first culture.
- Benefits: Flexible remote work, competitive pay, and a chance to shape pricing strategies.
- Why this job: Make a real impact on pricing optimisation and revenue growth.
- Qualifications: Strong experience in Bayesian models and Python; expertise in PyMC required.
- Other info: Join a dynamic team with opportunities for professional growth.
The predicted salary is between 48000 - 72000 £ per year.
Leading consumer goods client requires a Senior Bayesian Data Scientist to drive pricing strategy and price optimisation through advanced statistical modeling and probabilistic methods. Remote first with flexibility for occasional presence in their London office. This role will own the end‑to‑end data pipeline – collection, extraction, manipulation, analysis and validation – ensuring data is ready for modelling, with a specific focus on pricing dynamics, demand elasticity and revenue optimisation. You will work closely with the Data Science team to build and refine pricing models, ensuring robustness, validity and commercial impact.
Requirements:
- Strong experience developing Bayesian models in a pricing or commercial analytics context
- Expert in Python
- Strong experience with PyMC is essential
- Experience building regression‑based models for price elasticity and demand forecasting
- Strong understanding of statistical modelling and machine learning techniques applied to pricing optimisation
- Experience with probabilistic programming and Bayesian inference
- Familiarity with price sensitivity analysis, willingness‑to‑pay modelling or revenue management is a strong advantage
- Good working knowledge of cloud‑based data science frameworks
Bayesian Data Scientist employer: ECM Talent
Contact Detail:
ECM Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Bayesian Data Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who have experience with Bayesian models. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with Bayesian models and pricing strategies. Use platforms like GitHub to share your projects, and don’t forget to highlight your Python and PyMC expertise!
✨Tip Number 3
Prepare for interviews by brushing up on your statistical modelling knowledge. Be ready to discuss your experience with price elasticity and demand forecasting, as well as how you’ve applied these concepts in real-world scenarios.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you’re serious about joining our team and helps us keep track of your application.
We think you need these skills to ace Bayesian Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Bayesian models and pricing strategies. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about pricing optimisation and how your background in Python and PyMC makes you the perfect fit for our team.
Showcase Your Technical Skills: We love seeing technical expertise! Be sure to mention your experience with regression-based models and any cloud-based frameworks you’ve worked with. This will help us understand your capabilities right off the bat.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at ECM Talent
✨Know Your Bayesian Basics
Make sure you brush up on your Bayesian modelling concepts. Be ready to discuss how you've applied these techniques in pricing or commercial analytics. Having specific examples from your past work will show that you not only understand the theory but can also implement it effectively.
✨Showcase Your Python Skills
Since expertise in Python is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice writing clean, efficient code. Familiarise yourself with libraries like PyMC and be ready to discuss how you've used them in your projects.
✨Discuss Data Pipeline Ownership
This role involves owning the end-to-end data pipeline, so be prepared to talk about your experience with data collection, extraction, manipulation, and validation. Highlight any specific projects where you ensured data readiness for modelling, especially in relation to pricing dynamics and demand elasticity.
✨Understand Commercial Impact
Employers want to see that you grasp the commercial implications of your work. Be ready to discuss how your models have driven pricing strategies and revenue optimisation in previous roles. Use metrics and outcomes to illustrate the impact of your contributions.