Data Scientist - Marketing Effectiveness (MMM) at ekimetrics | 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.

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.

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).

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.

Ekimetrics specializes in helping organizations strengthen their marketing and operations by applying AI and analytics. Since 2006, the company has brought together business knowledge and technology to support clients across four main areas: marketing and commercial effectiveness, customer analytics, operational excellence, and ESG & sustainability. With offices in Paris, London, New York, Hong Kong, and Shanghai, Ekimetrics develops custom solutions that turn data into practical business outcomes. Teams focus on adapting technology and services to fit each client’s specific needs. The company is dedicated to responsible AI, working to ensure its solutions create meaningful, scalable impact while upholding core values.

Join our dynamic team at Trainline as a Data Scientist, where you will leverage data to drive insights and influence strategic decisions. You will work with cross-functional teams to develop models that enhance our customer experience and optimize our operations. If you have a passion for data and want to make a real impact in the travel industry, this is the opportunity for you!

Join our dynamic team at Faculty as a Data Scientist, where your analytical prowess will help drive impactful decisions across various sectors. In this role, you'll leverage advanced statistical techniques and machine learning algorithms to extract insights from complex datasets, delivering actionable recommendations to stakeholders. Collaborate with cross-functional teams to innovate and optimize data-driven solutions that enhance our clients' operational efficiency.

Join Abound, a forward-thinking company dedicated to leveraging data to drive innovative solutions. As a Data Scientist, you will play a crucial role in analyzing complex datasets, developing predictive models, and transforming data into actionable insights. Collaborate with cross-functional teams to enhance our products and services, ensuring that data-driven decisions are at the forefront of our strategy.

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.

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.

Who We Are Dataseat, a proud member of the Verve Group since July 2022, was founded by industry pioneers David Philippson and Dr. Paul Hayton. Our mission is to revolutionize how app marketers manage their programmatic media campaigns. We offer a cutting-edge Bidder or DSP as a service, empowering app marketers to take control of user acquisition and re-engagement through in-house programmatic media buying. Our comprehensive analytics provide clients with crucial insights on fraud, attribution accuracy, and incrementality, supporting marketers in building their in-house business case and optimizing their media strategy. Discover more at www.dataseat.com.

Join Our Data & Science OrganizationAt Deliveroo, we pride ourselves on having a premier data science team dedicated to enhancing the quality of decision-making, both human and machine. Our data scientists collaborate across various departments, including product, business, and platform teams, employing techniques such as analysis, experimentation, causal inference, and machine learning. We leverage data to drive better decisions and enhance data literacy throughout the organization.As a Senior Data Scientist, you will be part of a vibrant community that fosters continuous learning through guest lectures, study groups, mentorship programs, and a rigorous technical review process. Our career paths allow data scientists to advance as technical leaders or people managers, depending on their aspirations.We welcome candidates from diverse backgrounds, all united by a commitment to excellence in data science. Our dedicated diversity committee ensures that we celebrate differences and promote inclusivity within our team.Your primary objective will be to maximize business impact in various areas, tackling critical questions such as:Which markets or cities should we expand into next?How can we encourage positive behavior among our riders?What effect do our exclusive restaurant deals have?How can we optimize our compensation policies to ensure customer satisfaction?What trade-offs should we consider between growth and profitability?How should our pricing strategy vary based on distance and market?What is the ideal selection and variety of restaurants in a specific area?How can we enhance our consumer app to better serve grocery shoppers?The work you do will have a tangible and direct influence on the company's bottom line.

About QuantiumQuantium stands as a global frontrunner in data science and artificial intelligence. Founded in Australia in 2002, our diverse team of over 1,200 professionals operates across 14 locations, combining innovative product and consulting services to empower businesses in extracting value from their data and analytics. We collaborate with some of the largest corporations worldwide to create a smarter, more efficient future.Our Quantium Health UK division specializes in delivering cutting-edge AI, analytics, and digital consulting services tailored for clients in Health, Life Sciences, and HealthTech. Our mission is to leverage data's potential to enhance health outcomes for patients and healthcare providers. As a Data Scientist, you will engage with clients to address their specific needs, develop impactful use cases, utilize advanced analytics and machine learning techniques, and spearhead AI product innovations. Join us during this exhilarating phase of growth and work on transformative projects that make a difference.

About the Role Utility Warehouse is looking for a Data Scientist to join the team in London. This position focuses on analyzing large and varied data sets to uncover insights that support business decisions. The Data Scientist will work closely with colleagues from different departments to build predictive models, run experiments, and strengthen the company’s analytics practice. What You Will Do Analyze complex data sets to identify trends and patterns Develop and refine predictive models Collaborate with teams across the business to support data-driven projects Design and conduct experiments to test hypotheses and improve outcomes Help advance Utility Warehouse’s overall data analytics capabilities Location This role is based in London.

About Checkout.com Checkout.com helps businesses process payments smoothly, supporting companies such as eBay, ASOS, Klarna, Uber Eats, and Sony. The company operates behind the scenes to make global transactions efficient and reliable. Headquartered in London, Checkout.com maintains 19 offices on six continents. Teams focus on performance and innovation, aiming to shape the future of digital payments. Role Overview: Product Data Scientist The Product Data Scientist works within a cross-functional group that includes product managers, designers, and engineers. Insights from data help guide product strategy and define success metrics. Responsibilities include designing dashboards and reports, conducting analyses to spot opportunities for product improvements, and collaborating closely with the team to deliver on product goals. Data Analytics at Checkout.com supports business objectives at every level. In this role, a network of Analytics Engineers and Data Product Managers provides support to help drive growth and impact. Main Responsibilities Lead analytics for a product area: define, measure, and present key metrics, delivering insights that inform decisions. Use data to recommend updates to product roadmaps and identify opportunities for meaningful improvements. Work with Data Analytics and Software Engineering teams to ensure data is collected and modeled to support business insights. Promote a strong data culture within product teams, encouraging innovation and data literacy. Location This position is based in London.

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is the defining technology of our era. We have partnered with over 350 clients globally to revolutionize their operations through human-centered AI. Discover our tangible impacts here.We prioritize innovation over trends, developing and implementing responsible AI solutions that drive significant results. Our expertise spans technical, product, and delivery domains, serving clients in government, finance, retail, energy, life sciences, and defense sectors.As our company and reputation rapidly expand, we seek individuals who possess intellectual curiosity and aim to forge a positive technological legacy.Join us and explore the transformative potential of AI, empowered to realize its most impactful applications.About Our TeamOur Retail and Consumer specialists are committed to assisting clients in an industry undergoing rapid technological advancements and shifting consumer expectations. With over a decade of experience in Applied AI, we merge exceptional technical skills with delivery expertise, empowering businesses to adapt and excel.About the RoleIn the role of Lead Data Scientist, you will take on a crucial, entrepreneurial position as a technical expert who excels in navigating complexity and driving commercial impact. You will set the technical vision and guarantee the effective, scalable delivery of our most challenging, high-stakes projects. This role combines profound machine learning knowledge with strategic oversight, allowing you to define project roadmaps, manage technical risks, and architect dependable solutions. Your mission will be to spur innovation, mentor cross-functional teams, and actively influence our technical standards and long-term client relationships.Your Responsibilities:Establishing the technical direction for intricate, business-critical projects while adeptly managing trade-offs between speed, innovation, and reliability.Designing and executing robust, production-ready technical solutions.

CoreWeave is The Essential Cloud for AI™. Constructed for innovators by innovators, CoreWeave offers a cutting-edge platform filled with technology, tools, and expert teams that empower visionaries to create and expand AI solutions confidently. Renowned by top AI labs, startups, and global enterprises, CoreWeave merges exceptional infrastructure performance with profound technical knowledge to propel advancements and convert computational power into actionable capabilities. Established in 2017, CoreWeave became a publicly traded entity (Nasdaq: CRWV) in March 2025. Discover more at www.coreweave.com. We take pride in being a Living Wage accredited employer. What You’ll Do:The Monolith Data Science team is on a mission to develop a layered reliability platform that transitions CoreWeave from reactive troubleshooting to proactive reliability engineering. This platform encompasses telemetry ingestion, feature engineering, anomaly detection, failure prediction, and distributed straggler detection, alongside agentic root cause analysis. We work closely with Fleet, Infrastructure, and AI Platform teams to enhance cluster reliability, boost effective utilization (MFU), minimize MTTR, and safeguard uptime and revenue.About the role:As a Data Scientist, you will create sophisticated statistical models and machine learning strategies to maximize GPU utilization, optimize workload scheduling, and enhance infrastructure efficiency. You will design experiments, analyze extensive system telemetry data, and prototype predictive and optimization algorithms that directly influence production systems. This position marries rigorous research with tangible impact, transforming complex infrastructure data into quantifiable enhancements in performance and cost. You will work collaboratively across teams to convert research insights into applicable solutions.Who You Are:MS or PhD in Computer Science, Statistics, Applied Mathematics, Machine Learning, or a related quantitative field8+ years (or equivalent research experience) in implementing statistical modeling or machine learning on large-scale datasetsStrong proficiency in Python and scientific computing libraries (NumPy, pandas, SciPy, scikit-learn, PyTorch or TensorFlow)Proven experience designing and analyzing controlled experiments (A/B testing, causal inference, hypothesis testing)