Senior Data Scientist Marketing Effectiveness jobs in London – Browse 3,897 openings on RoboApply Jobs

Senior Data Scientist Marketing Effectiveness jobs in London

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companyEkimetrics logo
Full-time|On-site|London

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).

Dec 9, 2025
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companyekimetrics logo
Full-time|On-site|London

Join ekimetrics, a leader in data science and marketing effectiveness, as a Data Scientist specializing in Marketing Mix Modeling (MMM). In this role, you will leverage data analytics to optimize marketing strategies, enhance decision-making, and drive business growth for our diverse clients.Your responsibilities will include analyzing complex datasets, developing predictive models, and providing actionable insights that significantly improve marketing ROI. Collaborate with cross-functional teams to implement data-driven solutions that align with client objectives.

Mar 4, 2026
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companyDeliveroo logo
Full-time|On-site|London - The River Building HQ

Marketing Effectiveness – Strategy & Enablement ManagerJoin us at Deliveroo as we revolutionize the shopping and dining experience, fueled by innovation, impact, and growth. Our Brand & Experience team forges emotional connections with customers, riders, and partners, breathing life into our brand through creativity and insight. Whether it’s through push notifications, social campaigns, or packaging design, we create engaging experiences that cultivate loyalty and elevate Deliveroo to a globally beloved brand.We are on the lookout for a Senior Manager of Marketing Effectiveness to join our vibrant London team. In this pivotal role, you’ll champion data-driven decision-making throughout our marketing ecosystem, ensuring that every creative and media initiative accelerates growth and maximizes efficiency.Your ResponsibilitiesAs a member of the Marketing Effectiveness team within the Global Marketing Organization, you will work towards establishing a comprehensive understanding of how our campaigns, channels, and tactics influence customer behavior and business results.Your daily responsibilities will include:Strategic Partnership: Collaborate with Brand and Planning teams to integrate effectiveness principles into the campaign development and planning phases.Insight Translation: Transform complex insights from marketing mix models (MMM), external studies, and experimental results into straightforward, actionable recommendations for senior stakeholders.Test & Learn Frameworks: Design and implement a robust Test & Learn agenda, partnering with Data Science and media teams to scale insights across the organization.Best Practice Advocacy: Advocate for marketing effectiveness best practices to guide creative development and media planning on a global scale.Measurement Enablement: Create tools and communication frameworks that assist marketing teams in consistently applying data insights.Performance Culture: Foster a culture of continuous improvement by identifying opportunities to enhance marketing performance and integration of learning.What You’ll Need to SucceedWe seek an ideal candidate who possesses extensive expertise in the following areas, with a passion for further growth:Deep Expertise in Marketing Effectiveness: Proven experience in developing marketing strategies that leverage data and insights.Analytical Skills: Strong analytical skills with the ability to interpret complex data into actionable strategies.Collaboration and Communication: Excellent interpersonal and communication skills, with a track record of building relationships across departments.

Mar 2, 2026
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companyEkimetrics logo
Full-time|On-site|London

Join Ekimetrics as a Manager in Data Science & Marketing EffectivenessAs a global frontrunner in Marketing Effectiveness and AI-driven solutions, Ekimetrics has empowered businesses since 2006 to optimize their marketing strategies and operational efficiency. We uniquely blend AI with business and technology expertise across four key domains: Marketing Effectiveness, Customer Analytics, Operational Excellence, and ESG & Sustainability.With fully equipped in-house teams located in Paris, London, New York, Hong Kong, and Shanghai, we craft bespoke solutions that convert data into tangible positive outcomes. Our commitment is to leverage our distinctive technology and services to deliver AI impact at scale, addressing some of the world's most pressing challenges responsibly.Your Role:In your capacity as a Manager focusing on Marketing Mix Modeling (MMM) and Marketing Effectiveness, you will spearhead high-impact MMM initiatives for a diverse portfolio of international clients spanning various industries, including Automotive, Beauty, Retail, and Financial Services. You will be responsible for managing multiple teams and accounts, ensuring comprehensive project delivery, and providing actionable insights that drive client satisfaction and business growth.Key Responsibilities:· Lead end-to-end MMM and marketing effectiveness projects, from initial scoping and data strategy to modeling, insights generation, and activation.· Ensure rigorous project governance, focusing on data integrity, model reliability, and actionable insights that enhance client outcomes and support business growth.· Transform complex analytical findings into strategic narratives and clear recommendations for senior stakeholders and executive-level clients.· Establish, guide, and track project roadmaps in alignment with Ekimetrics’ methodologies, ensuring project delivery meets client objectives, profitability benchmarks, and timelines.· Offer strategic insights to clients aimed at optimizing marketing budgets, improving campaign effectiveness, and enhancing customer segmentation and ROI.· Collaborate with partners and senior managers in client engagement, delivering strategic insights, shaping proposals, and contributing to RFPs and pitches.

Dec 9, 2025
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companyGoCardless logo
Full-time|On-site|London, UK

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.

Jan 9, 2026
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companyDeepL SE logo
Full-time|On-site|London

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.

Feb 5, 2026
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companyIntercom logo
Full-time|On-site|London, England

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.

Mar 26, 2026
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companyDeliveroo logo
Full-time|Hybrid|London - The River Building HQ

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.

Apr 7, 2026
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companyravio logo
Full-time|On-site|London

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.

Mar 16, 2026
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companyEntain logo
Full-time|On-site|London

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.

Jan 30, 2026
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companyFaculty logo
Full-time|On-site|London

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.

Jan 21, 2026
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companyFaculty logo
Full-time|On-site|London

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.

Feb 18, 2026
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companyLendable logo
Full-time|On-site|London

About LendableAt Lendable, we are dedicated to revolutionizing the financial technology landscape to empower individuals with accessible credit solutions and savings opportunities. Our journey has positioned us as one of the leading fintech firms globally, and we are proud of our achievements:Recognized as one of the UK's newest unicorns, boasting a dynamic team of over 700 professionalsRanked among the fastest-growing tech enterprises in the UKAchieved profitability since 2017Supported by leading investors such as Balderton Capital and Goldman SachsHighly rated by customers, with an impressive 4.9 score across tens of thousands of reviews on TrustpilotWe have successfully redefined the traditional finance products, including loans, credit cards, and car finance, enabling our customers to receive funds within minutes instead of days.As we expand further, we are targeting the two largest Western markets (UK and US), where trillions of dollars in financial products are currently managed by large banks with outdated systems and cumbersome processes.Join Us If You Aspire ToTake ownership of a wide range of responsibilities. You will have the autonomy to make impactful decisions that shape the future and success of Lendable from day one.Collaborate within small teams of exceptional talent, who are committed to problem-solving and innovating beyond conventional methods.Develop top-tier technology in-house, leveraging new data sources, machine learning, and AI to streamline processes.About the RoleWe seek a seasoned Senior Marketing Scientist to spearhead marketing and growth analytics within our rapidly evolving multi-product application. As Lendable continues to scale its offerings across lending, engagement features, and additional financial services, the complexity and volume of data-driven decisions have surged. This pivotal role will unlock insights that enhance acquisition efficiency and drive product innovation, managing the full spectrum of digital and non-digital channels across various products.

Feb 11, 2026
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companyDeliveroo logo
Full-time|On-site|London - The River Building HQ

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.

Apr 16, 2026
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companyFaculty logo
Full-time|Hybrid|London

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...

Sep 9, 2025
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companyIntercom logo
Full-time|On-site|London, England

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.

Mar 26, 2026
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companyMarshmallow logo
Full-time|On-site|London

Are you a passionate data scientist looking to make a significant impact in a dynamic environment? Join Marshmallow as a Staff Data Scientist and leverage your expertise to drive innovative data solutions. In this role, you will work closely with cross-functional teams to analyze complex datasets, develop predictive models, and provide actionable insights that enhance our product offerings.

Mar 25, 2026
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companyRelay logo
Full-time|Hybrid|London - Hybrid

Join Relay, a pioneer in transforming the logistics landscape for the digital age. Supported by Europe’s largest logistics Series A funding of $35 million from visionary investors like Plural, our rapid growth puts us ahead of 99.98% of venture-backed startups. We are building an exceptionally skilled team that is set to revolutionize the logistics sector.Our Mission is to eliminate friction from commerce. In today's world, high delivery costs act as an invisible barrier to e-commerce, constricting the range of products available online and limiting participation. We envision a future where goods flow freely among people, creating a seamless and inclusive online shopping experience for all.About Our Team:• A dynamic group of ~110 individuals, over half of whom specialize in engineering, product, and data.• Our experts hold more than 45 advanced degrees in fields such as computer science, mathematics, and operations research.• We process thousands of data points for each parcel we manage, ensuring precision in our operations.• Our culture thrives on first-principles thinking, continuous feedback, and a commitment to innovation.Senior Data Scientist - Strategic FinancePosition OverviewAs our network expands rapidly, critical decisions regarding growth, pricing strategies, and investment areas hinge on sophisticated models that accurately simulate our network's behavior. Your role will be instrumental in designing these models.As a Senior Data Scientist focusing on Strategic Finance, you will be responsible for modeling Relay's network dynamics. You will create and manage a modular suite of models that encapsulates our unit economics from the initial collection stage to last-mile delivery. When questions arise regarding the impact of entering new regions, altering service types, or adjusting operational models, your models will provide swift and precise answers.Your modeling efforts will encompass the entire logistics network, from forecasting volumes to optimizing routes. However, your responsibilities extend beyond simply building models. You will possess a deep understanding of our network's economic components, identify deficiencies in current models, and systematically enhance them. When new operational approaches emerge, you will be the one to refine those elements.

Feb 10, 2026
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companyFunding Circle logo
Full-time|On-site|London

Join Funding Circle as a Senior Data Scientist specializing in Generative AI. In this pivotal role, you will leverage your expertise in machine learning and data analysis to drive innovative solutions and enhance our data-driven decision-making processes. Collaborate with cross-functional teams to develop models that transform complex data into actionable insights.

Mar 3, 2026
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companyFaculty logo
Full-time|On-site|London

Join Faculty as a Senior Data Scientist and play a pivotal role in driving data-driven decision-making across diverse projects. You will leverage your expertise in machine learning, statistical analysis, and data interpretation to deliver innovative solutions that support our clients’ strategic goals.Your responsibilities will include developing predictive models, analyzing complex datasets, and collaborating closely with cross-functional teams to implement data solutions that enhance performance and efficiency.

Mar 12, 2026

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