Senior Pricing Data Scientist

Are you ready to drive change? Join AnyVan and transform the way we move anything, anywhere. Here, you can build a fast-paced career that matches our innovative approach to logistics.Founded in 2009 by our visionary CEO Angus, AnyVan was born from a simple observation: too many vans were on the road half-empty. We set out to revolutionize logistics technology, aiming to reduce wasted miles by efficiently filling those empty spaces.Today, we proudly serve over 5 million customers across the UK and Europe, supported by a dedicated team of 400 AnyVanners based in London, Cape Town, and Bogota. Together, we are committed to making a difference by saving 8,520 tonnes of carbon emissions annually.At the heart of our rapidly growing logistics marketplace is a dynamic interplay of supply, demand, and the customers eager to receive their belongings.This is where you come in.We are seeking a Senior Pricing Data Scientist—a professional who blends data science, economics, and storytelling to create models that elegantly manage complex systems.If you're passionate about transforming chaotic marketplaces into well-functioning systems, we want you to shape our pricing engines, conduct adaptive experiments, develop new data science products, and articulate complex insights into impactful narratives for the business.If you're excited about driving impact through experimentation, refining state-of-the-art pricing models, and tackling high-stakes challenges, come take the wheel! Key Responsibilities: Develop and Enhance ML Pricing Engines Craft and implement innovative pricing models that empower AnyVan to make informed decisions and foster a thriving marketplace. Conduct Adaptive Experiments Deploy systems that learn dynamically from customer behaviors, ensuring our pricing adapts to the ever-evolving marketplace. Innovate Data Science Products Identify opportunities, devise solutions, and deliver tools that elevate business processes and make data indispensable. Communicate Complex Insights Clearly Transform intricate models into engaging, impactful narratives for stakeholders.

Role overview Marshmallow is looking for a Lead Pricing Data Scientist based in London. The position centers on building pricing strategies and applying data analytics to guide business choices. In this role, efforts will shape pricing models and have a direct impact on how Marshmallow competes in the market. The work supports key decisions that affect both immediate pricing and the company's long-term approach. Key responsibilities Develop pricing strategies informed by data analysis Use analytics to support business decision-making Influence and improve pricing models for market competitiveness Location This position is based in London.

About ZegoAt Zego, we believe that traditional motor insurance can be a barrier for exemplary drivers. It's often too complex, costly, and fails to accurately reflect real driving behavior.Since our inception in 2016, we've dedicated ourselves to transforming the insurance landscape. Our goal is to provide the most affordable insurance options for responsible drivers.Our diverse clientele, ranging from van drivers and gig economy workers to everyday car owners, is at the core of our operations.Having successfully sold tens of millions of policies and secured over $200 million in funding, we are just getting started on this exciting journey.Your RoleWe are in search of a Lead Data Scientist to join our Core Pricing team, reporting directly to the Head of Data Science. You will play a critical role in shaping and executing a high-performance data-science operating model, swiftly transforming concepts into production-ready pricing and risk models.Key ResponsibilitiesLead the development and enhancement of next-generation risk models, managing all aspects from innovative feature discovery and sophisticated modeling to dependable pipeline deployment and strategic R&D initiatives.Implement a robust Data Science workflow: ensuring clear guidelines, templates, and documentation throughout the project lifecycle.Accelerate the idea-to-production timeline: from initial data acquisition to live rate adjustments.Promote a culture of collaborative experimentation: integrating Pricing, Data Science, Machine Learning Engineering, and Systems Engineering.Team leadership and mentorship: oversee a team of 2 Data Scientists, guiding their professional growth and development.Establish coding standards and best practices, mapping common processes and creating playbooks.Assist in selecting tools utilized throughout the Data Science project lifecycle.

About GoCardlessGoCardless is a pioneering global bank payment platform that empowers over 100,000 businesses, ranging from innovative startups to established brands, to seamlessly collect and send payments through direct debit, real-time payments, and open banking.With an impressive annual processing volume exceeding US$130bn across more than 30 countries, we facilitate both recurring and one-off payments, alleviating the burdens of follow-ups, stress, and high fees. Our AI-driven solutions enhance payment success rates and minimize fraud risks. Additionally, our open banking integration with over 2,500 banks enables our customers to make faster and more informed financial decisions.Headquartered in the UK, with offices in London and Leeds, we also have a presence in Australia, France, Ireland, Latvia, Portugal, and the United States.At GoCardless, we prioritize support and are dedicated to making our hiring process inclusive and accessible. If you require any adjustments or additional support, please reach out to your Talent Partner — we are here to assist you!Remember, we do not expect you to meet every single requirement. If you are enthusiastic about this role, we encourage you to apply!The RoleData is at the heart of our mission. We utilize bank account information to deliver intelligent payment solutions, enhancing payment success rates and preventing payer fraud.As a Senior Data Scientist in our Payment Intelligence team, you will collaborate with Software Engineers, Product Managers, and Designers to transform innovative concepts into reality. You will be responsible for the complete lifecycle of our algorithms, from the initial idea to the production-ready code that drives our global payment network.Our tech stack is centered around Google Cloud Platform and Vertex AI, creating a high-performance environment for innovation. Our Data Scientists work at the intersection of Python, SQL, and BigQuery to develop and deploy high-performance models at scale.Key ResponsibilitiesLead the comprehensive delivery of models at scale, from initial discovery and feature engineering to production, A/B testing, and ongoing monitoring.Collaborate with cross-functional teams to design and implement advanced data-driven solutions.

Join DeepL as a Senior Data ScientistDeepL is a pioneering AI product and research organization dedicated to crafting secure, intelligent solutions to tackle complex business challenges. With a clientele of over 200,000 businesses and millions of users in 228 global markets, our Language AI platform is relied upon for its human-like translations, enhanced writing capabilities, and real-time voice translation.Founded in 2017 by CEO Jarek Kutylowski, DeepL now boasts a talented team of over 1,000 individuals and backing from esteemed investors like Benchmark, IVP, and Index Ventures. Our mission is to lead the global AI technology space by developing products that enhance communication, foster connections, and make a significant impact on society. We seek passionate professionals ready to innovate and grow their careers in a dynamic and purpose-driven environment.What Makes DeepL UniqueAt DeepL, we blend cutting-edge AI technology with meaningful work in a culture that champions individual growth. Our team of innovators, researchers, and creators shares a vision to unlock human potential by making work more efficient, smarter, and interconnected.Our employees frequently express positive sentiments about their experiences at DeepL, attributing it to our impactful technology and the values of trust, curiosity, and care that permeate our culture.Joining DeepL means becoming part of a dedicated team committed to innovation, growth, and employee well-being. Explore more about life at DeepL on our LinkedIn, Instagram, and Blog.

Join our dynamic team at Intercom as a Senior Data Scientist, where you will leverage your analytical expertise to drive data-driven decisions and contribute to our innovative product development. In this role, you will collaborate with cross-functional teams to build models that enhance user experiences and optimize our services.

At Zego, we understand that conventional motor insurance can hinder good drivers. The complexities and high costs often overshadow the true driving capabilities.Since our inception in 2016, our mission has been to revolutionize motor insurance by offering affordable rates for responsible drivers.Our diverse clientele, ranging from van drivers and gig economy workers to everyday car owners, drives our commitment to innovation and excellence.Having successfully sold millions of policies and secured over $200 million in funding, we are just beginning our journey...Role OverviewAs a Senior Pricing Analyst at Zego, you will be pivotal in shaping the company’s pricing strategy with a significant impact on our growth trajectory. You will oversee the complete retail pricing process for various motor products, ensuring alignment with our cutting-edge, data-driven approach. In your senior role, you will spearhead the development of innovative retail pricing models, collaborate with cross-functional teams, and champion advanced techniques in the pricing domain. Your contributions will be vital as we expand our presence in the UK and European markets.Key ResponsibilitiesPartner with Pricing Leadership to execute strategic pricing initiatives for both new and existing motor products.Foster the implementation of advanced pricing methodologies, incorporating telematics and data science, while promoting innovation within the retail pricing team.Evaluate and monitor performance metrics, ensuring alignment with business objectives and providing data-driven recommendations for enhancements.Collaborate across departments including sales, product, data science, and management to share insights and drive business success.Mentor junior team members, helping to cultivate a culture of collaboration and high performance.Qualifications for Success3 to 5+ years of experience in personal lines pricing, with a focus on motor pricing considered a plus.Proven experience in managing personal lines pricing strategies, possessing a creative outlook and a readiness to innovate.Strong analytical and technical skills; proficiency in SQL, Python, R, or similar tools is essential, alongside experience in model development.Exceptional communication skills, with an ability to clarify complex technical concepts to non-technical audiences and influence key stakeholders.A strong balance between commercial goals and pricing integrity, coupled with rigorous analytical standards.Experience in mentoring or coaching junior colleagues, contributing to a supportive workplace culture.

Senior Data Scientist - ExperimentationBecome a pivotal part of our journey to revolutionize how people shop and dine, with a focus on impact, innovation, and growth. Our Analytics team is central to Deliveroo, enabling informed decision-making across product, commercial, and operational aspects through rigorous experimentation, causal inference, and advanced machine learning techniques.We nurture a vibrant Analytics community, featuring guest lectures, study groups, mentorship programs, and a comprehensive technical review process.Our data scientists come from diverse backgrounds but share a commitment to excellence.We are on the lookout for a Senior Data Scientist to join our London team, with a hybrid work model requiring 3 days in the office. In this capacity, you will empower high-quality, human-led decision-making to maximize our impact.Your ResponsibilitiesAs a Senior Data Scientist at Deliveroo, your primary objective will be to optimize business impact within one of our product domains. A significant aspect of your role will involve designing, executing, and interpreting experiments, along with utilizing causal inference to inform product decisions in complex real-world environments.You will delve deeper than merely answering whether a feature was successful; your focus will be on uncovering the genuine impact, understanding the reasons behind the outcomes, and how results can be applied across various users, markets, and timelines.Here’s a glimpse into your day-to-day activities:Strategic Insights through Experimentation: Spearheading the design of both straightforward and intricate experiments, proactively translating insights into strategic initiatives.Expertise in Causal Inference: Employing sophisticated techniques to assess long-term and varied treatment effects.Deriving Trustworthy Conclusions: Navigating settings with selection bias or imperfect randomization.Generating In-depth Product Insights: Identifying fundamental factors influencing experiment performance, understanding why features thrive, and how results can be generalized across different users, markets, and timelines.Utilizing insights from previous experiments to enhance future decision-making.Your QualificationsProven experience in designing, implementing, and interpreting A/B experiments within production environments.Robust understanding of causal inference concepts.Capacity to apply statistical reasoning to complex real-world product challenges.

Join ravio as a Senior Data Scientist and lead innovative projects to harness the potential of big data. You will work closely with cross-functional teams to extract valuable insights, develop predictive models, and enhance data-driven decision-making processes. This role offers an exciting opportunity to impact our data strategy and drive meaningful change.

Join Entain, a global leader in sports betting and gaming entertainment, as a Senior Data Scientist. In this pivotal role, you will leverage cutting-edge analytics and machine learning techniques to drive data-driven decisions that enhance our customer experience and optimize business operations.Your expertise will be critical in developing predictive models, conducting complex data analyses, and collaborating with cross-functional teams to implement data strategies that support our ambitious growth objectives.

Why Join Faculty?Founded in 2014, Faculty is at the forefront of artificial intelligence, believing it to be the defining technology of our era. With a proven track record, we have partnered with over 350 global clients to enhance their performance through human-centric AI solutions. Discover our impact here.We prioritize genuine innovation over fleeting trends. Our commitment to responsible AI enables us to deliver solutions that drive significant results. Our extensive expertise spans across various sectors, including government, finance, retail, energy, life sciences, and defense.As our business continues to expand rapidly, we seek individuals who possess intellectual curiosity and a passion for leveraging technology to create a lasting positive impact.Join us in harnessing the power of AI to redefine its applications and make a tangible difference.About Our TeamThe Frontier TM product represents our bold ambition to create an enterprise-grade platform that integrates decision intelligence and AI Agents, optimizing critical processes in large organizations. You will tackle complex challenges within the real economy, focusing especially on healthcare and life sciences.Your RoleAs a Senior Data Scientist on the Frontier team, you will shape the future of our Decision Intelligence Platform by developing AI-powered digital twins that enhance organizational decision-making. This entrepreneurial role involves solving intricate problems while enabling enterprise users to leverage state-of-the-art AI technologies. You will combine scientific rigor with a business-oriented mindset to advance our AI Agent and Decision Hub capabilities.Key Responsibilities:Designing and Building: Create agents for high-stakes environments, ensuring that outputs meet rigorous validation standards.Data Analysis: Conduct exploratory data analysis, model development, validation, and performance monitoring.Leadership: Guide data science initiatives within cross-functional delivery teams, collaborating with engineers, designers, and business stakeholders.

Why Join Faculty?Founded in 2014, Faculty believes that AI is the defining technology of our era. We have successfully partnered with over 350 global clients to enhance performance through human-centric AI solutions. Discover our real-world impact here.We prioritize innovation over hype, focusing on creating and implementing responsible AI that truly makes a difference. Our extensive expertise spans various sectors, including government, finance, retail, energy, life sciences, and defense.As our business and reputation continue to expand rapidly, we are eager to recruit individuals who are intellectually curious and passionate about building a positive legacy through technology.Join us in leveraging AI’s transformative power to revolutionize decision-making processes in critical fields.About the TeamThe Faculty Frontier™ product represents our ambitious goal of developing the first enterprise-grade platform that integrates decision intelligence with AI agents to optimize key processes in large organizations. You will tackle complex challenges with a focus on healthcare and life sciences.Role OverviewAs a Senior Data Scientist, you will play a pivotal role in shaping our Frontier Decision Intelligence Platform. You will lead the design and implementation of AI-powered digital twins that redefine organizational decision-making. Working within cross-functional teams, you will blend technical prowess with commercial insight to address intricate customer challenges. This is also an opportunity to mentor emerging talent while delivering impactful, production-grade AI solutions in a dynamic and entrepreneurial setting.

Why join loveholidays?At loveholidays, we believe in collective innovation. Our mission is to make travel accessible to everyone, providing our customers with endless choices, unparalleled convenience, and exceptional value for their next adventure. Our dedicated team serves as our customers' personal holiday advisors, offering the smartest way to plan their getaways.We leverage cutting-edge technology to drive transformative innovation and broaden access to travel. In our Commercial and Support teams, you will find opportunities to accelerate your professional development by actively pursuing learning experiences and defining your career trajectory. You will shape our future by taking ownership of projects and influencing business strategies to achieve common objectives within our vibrant international community of enthusiastic and collaborative teams.Team Overview:The Revenue Management team is focused on optimizing final margins and fostering sustainable growth by strategically managing crucial commercial factors such as pricing, payment options, and cancellation policies.Your Contributions:Reporting to the Head of Pricing & Revenue Management, you will craft and execute data-driven strategies that balance growth and profitability across an extensive array of package combinations. You will also aid in developing scalable revenue management capabilities to ensure long-term commercial success. Daily Responsibilities:Extract actionable insights from internal performance trends across key metrics (such as Margin Per Transaction, Conversion Rate, and Trading Margin), identifying root causes.Analyze competitor offerings and market trends to enhance our competitive position in terms of pricing, payment structures, and cancellation policies.Identify and quantify new opportunities for sustainable top-line growth and margin enhancement.Design and implement sophisticated experiments to optimize revenue management strategies.Collaborate with other commercial teams to recognize and leverage broader trading opportunities, including merchandising.Work alongside Product, Engineering, and Data Science teams to design and develop top-tier, flexible pricing and packaging systems.Effectively communicate performance updates and strategic insights to senior stakeholders.

Role Overview Deliveroo is looking for a Senior Data Scientist to join the team in London at The River Building HQ. This role focuses on using data analytics to guide decisions and improve our platforms. The work directly supports how we shape the future of food delivery. What You Will Do Work alongside cross-functional teams to develop predictive models Analyze large datasets to find insights that inform business strategy Translate complex data into clear, actionable recommendations Location This position is based in London at The River Building HQ.

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is the defining technology of our era. With over 350 global clients, we have successfully transformed performance through human-centric AI solutions. Explore our real-world impact here.We prioritize substance over hype. Our commitment lies in innovating, developing, and implementing responsible AI that genuinely makes a difference. Our expertise spans across various sectors, including government, finance, retail, energy, life sciences, and defense.As our business grows rapidly, we seek individuals who share our intellectual curiosity and aim to create a meaningful legacy through technology.Join us in harnessing the power of AI and realizing its most impactful applications.About the TeamThe Defence team is dedicated to creating and integrating human-centered AI solutions that enhance national security. We work closely with our clients to deliver ethical, reliable, and advanced AI solutions in critical situations, ensuring a balance of global power crucial for our freedom.Due to the sensitive nature of our work, candidates must be eligible for UK Security Clearance (SC) and should be prepared to work onsite with clients 2 to 4 days a week, which may involve travel across the UK. When not on client sites, you can choose to work from our London office or remotely within the UK.About the RoleAs a Senior Data Scientist, you will spearhead high-impact AI initiatives and guide the technical direction of customized solutions. This position demands both hands-on technical proficiency and strong leadership skills. You will establish data science methodologies, design resilient software architectures, mentor junior team members, and ensure robust project delivery while fostering deep client relationships and reinforcing our standing as a leader in practical, impactful AI.Your Responsibilities Include:Mapping the end-to-end data science approach...

Join Ekimetrics as a Senior Data Scientist specializing in Marketing Effectiveness Ekimetrics is at the forefront of Marketing Effectiveness and AI-driven solutions. Since our inception in 2006, we have empowered businesses to enhance their marketing strategies and operational efficiencies by seamlessly integrating AI with deep industry expertise across four key domains: Marketing Effectiveness, Customer Analytics, Operational Excellence, and ESG & Sustainability. With our robust in-house talent and global presence, including offices in Paris, London, New York, Hong Kong, and Shanghai, we create tailor-made solutions that transform data into meaningful impacts, utilizing our distinct blend of technology and services. We are dedicated to harnessing AI's potential to address pressing global challenges. Our commitment to responsible AI practices, systematic impact at scale, and adherence to our core values is unwavering. Your RoleAs a Senior Data Scientist focusing on Marketing Effectiveness, you will spearhead the execution of impactful Marketing Mix Modeling (MMM) projects for our diverse international clientele, spanning the Automotive, Beauty, Retail, and Financial Services sectors. You will lead small teams, manage comprehensive project lifecycles, and ensure the delivery of actionable insights to our clients.Responsibilities:Oversee the complete MMM and marketing effectiveness initiatives for global clients, encompassing data strategy, collection, modeling, insights, and implementation.Employ econometric techniques, regression analysis, Bayesian statistics, and machine learning methodologies to interpret marketing and customer data.Collaborate with project managers to define project scopes, analytical methods, operations management, and ensure timely deliverables.Create dashboards and visualization tools to present actionable insights, utilizing proprietary Ekimetrics frameworks and best practices.Convey complex analytical findings into clear, business-oriented recommendations for senior stakeholders and executive clients.Assist clients in optimizing their marketing spend, comprehending campaign performance, enhancing customer segmentation, and maximizing return on investment (ROI).

Join our dynamic team at Intercom as a Senior Data Scientist specializing in Product Analytics. In this role, you will leverage data to drive meaningful insights that enhance user experience and product development. You will work closely with cross-functional teams to analyze trends, build predictive models, and develop metrics that inform strategic decisions.

The Senior Pricing Manager will spearhead the formulation, execution, and enhancement of pricing strategies for The Telegraph’s subscription offerings. By leveraging data analytics, market insights, and commercial acumen, this pivotal position will contribute significantly to subscriber expansion, revenue enhancement, and the maintenance of competitive and attractive pricing for our clientele.Key ResponsibilitiesDesign and implement pricing strategies for all subscription products, ensuring they align with business objectives and market competitiveness.Oversee pricing models, making informed recommendations to bolster revenue and profitability.Perform ongoing pricing analyses, including customer segmentation, price elasticity assessments, and A/B testing, to identify growth opportunities and optimize conversion and retention rates.Create and uphold pricing tools and dashboards that deliver real-time insights to stakeholders.Evaluate the effects of pricing adjustments and refine strategies to meet business goals.Remain informed about industry developments, competitor pricing strategies, and new technologies within the media and subscription sectors.

As Deliveroo continues to expand and evolve, we are seeking an enthusiastic and analytically-minded Senior Pricing Analyst to join our dynamic Consumer Pricing team. This is a 12-month fixed-term contract for maternity cover. Our central team plays a pivotal role in addressing exciting challenges related to monetizing our business while enhancing the perception of value for our consumers. Consumer pricing is crucial to the strategic vision of our global operations, and in this role, you will have the chance to lead projects from inception to completion and collaborate with diverse teams.In this position as a Senior Pricing Analyst, you will actively engage in various strategic initiatives as our business rapidly adapts: from refining pricing models for our current and new offerings to discovering ways to enhance consumer value. To thrive in this role, you must possess a strong sense of curiosity, a consumer-centric mindset, and exceptional analytical capabilities.You will be an essential member of our Pricing team, a cross-functional group comprising pricing business owners, product managers, engineers, and data scientists who collectively set objectives and collaborate to achieve them.Your Responsibilities:Price Optimization - Collaborate with Product, Data Science, and local markets to uncover opportunities for enhancing our Consumer Pricing processes and algorithms.Stakeholder Engagement - Manage interactions regarding pricing performance and work alongside Data Science, Product, and other teams.Planning - Assist with weekly and monthly reporting cycles and perform root cause analyses.

Wise is looking for a Lead Data Analyst focused on Pricing to help shape pricing strategies and support data-driven decisions. This position is based in London and works closely with teams across the company. Role overview This role centers on analyzing and optimizing pricing models. The Lead Data Analyst will review market trends, assess data, and recommend adjustments to support Wise’s business goals. Collaboration Working with cross-functional teams is a key part of this position. Expect to share insights, coordinate on projects, and ensure pricing strategies remain relevant and competitive. Requirements Strong analytical skills Experience with pricing models Ability to interpret market data and trends Comfort working with teams across different functions