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- Tasks: Design dynamic pricing systems and develop real-time algorithms for our unique marketplace.
- Company: Innovative tech company focused on advanced pricing strategies.
- Benefits: Stable salary, remote work, flexible schedule, and professional development support.
- Other info: Access to diverse training programs and professional counselling services.
- Why this job: Join a cutting-edge team and shape the future of pricing in a dynamic environment.
- 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 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
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just 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 with your responses.
✨Tip Number 3
Showcase your skills through projects! Create a portfolio that highlights your experience with dynamic pricing models or any relevant algorithms. This will make you stand out and demonstrate your hands-on 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 are proactive about their job search!
We think you need these skills to ace Senior Applied Scientist (Researcher) – Pricing Fully remote - Full Time - Technology United Kingdom
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 and algorithmic product optimisation, especially in marketplaces or pricing systems. We want to see how your skills align with our unique bid-based pricing model!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about dynamic pricing and how your background in statistics and optimization makes you a perfect fit for our team. Let us know what excites you about working with us at StudySmarter.
Showcase Relevant Projects: If you've worked on projects related to pricing algorithms or marketplace dynamics, make sure to showcase them. We love seeing real-world applications of your skills, so include any A/B experiments or production-grade solutions you've developed.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
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 improving these models.
✨Showcase Your Technical Skills
Since proficiency in Python and SQL is crucial, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common data science algorithms and be ready to explain your thought process.
✨Prepare for Scenario Questions
Expect questions that assess your ability to handle uncertainty and delayed feedback in pricing decisions. Think of examples from your past experience where you successfully navigated similar challenges and be ready to share them.
✨Discuss Collaboration and Productionisation
Highlight your experience working with engineering teams to productionise models. Be prepared to discuss how you ensure scalability and robustness in your solutions, as this is key for the role.