Data Scientist - Pricing
Role details
Job location
Tech stack
Job description
more predictably. Someone who gets a kick out of experimenting, iterating, and turning data into decisions that actually move the needle. If improving ML-driven pricing engines, uncovering insights through clever experimentation, and shaping data-powered products sounds like your perfect day at work… buckle up. What you'll be doing: Level up our ML pricing models Help design, evaluate, and productionise the next iterations of the models that power our pricing decisions-boosting performance, robustness, and impact on the business. Experiment your way to smarter decisions Support the development of adaptive experimentation systems that learn from how customers respond, keeping our pricing tuned to a marketplace that refuses to sit still. ️ Build data science products that matter Spot opportunities, collaborate across teams, and help turn data-driven ideas into tools and workflows that make the whole business run better. Make the complex sound simple Translate model behaviour, Christmas Eve on us, Long-service perks capped at 30 days. Health & Wellbeing - On-site gym, Membership with Vitality, Enhanced sick pay Future Ready - The People's Pension (5% you, 3% us) Family Support - Enhanced maternity pay Easy Travel - 2 minutes' walk from the tube, Octopus Electric Vehicles, a Cycle to Work Scheme with Showers and towels on site. Daily Perks - In-house barista coffee, free breakfast every day and local discounts Culture & Community - Weekly drinks, fun socials, and rewards that take you places (literally - last winners hit the Alps) Career Growth - Join a disruptive technology leader and fast forward your career move Our company values are: Have fun, get it done (work hard play hard, satisfaction in results, do the right thing) Progress over perfection (Innovate and disrupt, Curious and adaptable, Work quick, learn quicker) One team thinking big (Collaborate and communicate, Celebrate wins , Embrace challenges) DE&I We are committed to building an inclusive and diverse workplace where every voice is heard, every perspective is valued, and every individual has the opportunity to thrive. We welcome applicants from all backgrounds to be part of our mission and contribute to our vibrant culture. Responsibilities The role involves leveling up Machine Learning pricing models by designing, evaluating, and productionizing next iterations to boost business impact. Responsibilities also include supporting adaptive experimentation systems and building data science products that turn data-driven ideas into actionable tools.
Requirements
Python, Pandas, Scikit-learn, SQL, Model Building, Experimentation, Data Science Products, Communication, Analytical Chops, Problem Solving, Causal Modelling, Uplift Modelling, Policy Evaluation, ML Pricing Engines, Data-Driven Ideas, findings, and tricky technical concepts into clear stories that non-technical teammates can understand and act on. What you'll bring: 3+ years in a data science (or closely related) role Strong Python skills (pandas, scikit-learn or similar) and confidence in SQL A problem-solving mindset with serious analytical chops and attention to detail Creativity and pragmatism when facing knotty business problems Communication skills that land with both engineers and non-technical stakeholders Bonus points for: Experience in pricing, marketplaces, logistics, e-commerce, or other revenue-focused spaces A track record of contributing to ML solutions used in real products or operations Some familiarity with causal modelling, uplift modelling, or policy evaluation Comfort working with autonomy in a fast-paced, occasionally chaotic, always interesting environment What We Offer: Competitive Salary - Highly competitive salaries Generous Time Off - 25 days +public holidays