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- Tasks: Design and evolve dynamic pricing systems for our innovative marketplace.
- Company: Join a forward-thinking tech company focused on cutting-edge pricing strategies.
- Benefits: Enjoy a stable salary, remote work, flexible hours, and access to professional support.
- Other info: Opportunities for diverse training and career growth in a dynamic environment.
- Why this job: Make a real impact by shaping pricing models in a unique bid-based marketplace.
- Qualifications: 3+ years in Data Science or Applied Research with strong statistical skills.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for a Senior Applied Scientist (Pricing) to design and evolve dynamic pricing systems for our marketplace. You will develop pricing as a feedback-driven decision system, balancing supply, demand, and business outcomes under uncertainty and delayed signals. Unlike traditional surge-based pricing, our marketplace operates on a unique bid-based pricing model, where prices are shaped through direct negotiation between riders and drivers. This creates a fundamentally different optimization problem, requiring advanced approaches to modeling user behavior, incentives, and marketplace dynamics.
Key Responsibilities
- Design and improve dynamic pricing policies, including elasticity and supply/demand response modeling
- Frame pricing as a decision system under uncertainty and delayed feedback
- Develop, test, and deploy real-time pricing algorithms
- Design and analyze A/B experiments to evaluate pricing impact
- Productionize models in collaboration with engineering, ensuring scalability and robustness
- Monitor system performance, including stability, feedback effects, and long-term behavior
- Contribute to methodological choices (e.g., optimization, control, RL-inspired approaches)
Skills, Knowledge and Expertise
- 3+ years of experience in Data Science, Applied Research, or algorithmic product optimization, preferably in marketplaces or pricing systems
- Strong background in statistics, optimization, and causal inference
- Proven ability to move from problem formulation to production-grade solutions
- Proficiency in Python, SQL, and experience with production ML systems
Nice to Have
- Experience with economic modeling (elasticity, auctions, policy design)
- Familiarity with control systems, RL, or online optimization
- Experience working with real-time, high-load systems
Conditions
- Stable salary, official employment
- Remote work mode and flexible schedule
- Access to professional counseling services, including psychological, financial, and legal support
- Diverse internal training programs
- Partially or fully paid additional training courses
- All necessary work equipment
Senior Applied Scientist (Researcher) – Pricing Fully remote - Full Time - Technology United Kingdom in London employer: InDrive Group
Contact Detail:
InDrive Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied Scientist (Researcher) – Pricing Fully remote - Full Time - Technology United Kingdom in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect with professionals on LinkedIn. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Prepare for interviews by practising common questions related to pricing systems and data science. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your experience and skills.
✨Tip Number 3
Showcase your projects! If you’ve worked on relevant pricing models or algorithms, make sure to have them ready to discuss. We love seeing real-world applications of your skills, so bring your A-game!
✨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’re always looking for passionate candidates who are eager to innovate in the pricing space.
We think you need these skills to ace Senior Applied Scientist (Researcher) – Pricing Fully remote - Full Time - Technology United Kingdom in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Applied Scientist role. Highlight your experience in data science, applied research, and any relevant projects that showcase your skills in dynamic pricing systems.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about pricing systems and how your background aligns with our unique bid-based model. Keep it engaging and personal.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python, SQL, and any experience with production ML systems. We want to see how you can bring your technical expertise to our team!
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at InDrive Group
✨Know Your Pricing Models
Make sure you understand the unique bid-based pricing model mentioned in the job description. Brush up on dynamic pricing systems and be ready to discuss how you would approach designing and evolving these systems.
✨Showcase Your Technical Skills
Be prepared to demonstrate your proficiency in Python and SQL. You might be asked to solve a problem or explain how you've used these tools in past projects, so have some examples ready that highlight your experience with production ML systems.
✨Discuss Real-Time Systems
Since the role involves working with real-time, high-load systems, think of specific instances where you've dealt with similar challenges. Be ready to talk about how you monitored system performance and ensured stability in your previous roles.
✨Prepare for Methodological Questions
Expect questions around optimization, control systems, and reinforcement learning. Familiarise yourself with these concepts and be ready to discuss how they apply to pricing strategies, as well as any relevant experiences you have in these areas.