Senior Data Scientist - Creative Optimization

Senior Data Scientist – Creative OptimizationJoin to apply for the Senior Data Scientist – Creative Optimization role at GroupMSenior Data Scientist – Creative Optimization1 day ago Be among the first 25 applicantsJoin to apply for the Senior Data Scientist – Creative Optimization role at GroupMGet AI-powered advice on this job and more exclusive features.About WPP MediaWPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.About WPP MediaWPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.comAbout Choreograph: A Leading WPP Media BrandChoreograph is WPP’s global data products and technology company. We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation.We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising.We’re endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across 20 markets around the world.Role Summary And ImpactThe Creative Optimisation product is a DCO (Dynamic Creative Optimization) application that is built and maintained in-house at Choreograph, by the Optimization team.The product enables personalization of creative content at scale, across multiple channels such as digital display, mobile apps, CTV, YouTube, video and social.This is no start up. The application is already serving tens of millions of ads and terabytes’ worth of media, everyday in real-time, across the globe.We are on the lookout for a Senior Data Scientist to join our team to co-develop a step-change feature: Algorithmic Content Opitmization (ACO). Our vision is to leverage data signals to algorithmically serve the most relevant creative to the right audience in the right moment that maximises performance, continuously.The role will report to VP Data Science and be part of a small (but growing!) team of Data Scientists. The ideal candidate will have a background in Reinforcement Learning (or related disciplines), with hands-on cloud technology experience. Whilst commercial experience is highly desirable, given the deployment of RL at scale remains relatively nasant, we’re happy to consider candidates with academic research as well as commercial background.The candidate though does have to be truly, technically competent. For the scale and complexity at which our product operates, off-the-shelf solutions are often not fit-for-purpose. The ideal candidate has to have the ability to customise source code, add in new features and code from scratch.Whilst model deployment / software development experience is highly desirable, we do have a team of engineers to support so exposure in this space will be sufficient.Culture-wise, we’re looking for a great team player who is passionate about applying Data Science techniques to solve complex problems and drive innovation.In return, you will get the opportunity to solve cutting-edge problems and drive measurable performance improvement for our clients. Not to mention, working with a team of supportive, seasoned developers, product managers and data scientists who have successfully built and deployed scalable, global products.Key Responsibilities:Develop and optimize the ACO algorithm(s) and related Data Science components for the productDesign and contribute to the end-to-end machine learning pipeline from data collection, reprocessing to model training, simulation, evaluation, deployment and experimentation / testingImplement and interpret explainability frameworks to provide clear insights into model decisions, ensuring transparency and compliance with WPP standardsCollaborate with stakeholders to identify business needs and translate these requirements into technical solutions that are scalable and impactfulConduct rigorous model testing and validation to ensure robustness and accuracyPrepare detailed documentation and reports that communicate complex model behaviours, predictions, and insights in a manner accessible to both technical and non-technical audiencesStay abreast of academic research and industry advancements in RL, plus AI/ML in general.Knowledge-share and support the wider team and Data Science community to drive innovations based on your workSkills And ExperienceAt WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:Be Extraordinary by Leading Collectively to Inspire transformational Creativity.Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.Essential qualifications:Bachelor\’s or master\’s degree in Data Science, Computer Science, Engineering, Statistics, or a related quantitative fieldHands-on (academic/commercial) experience in implementing Reinforcement Learning (or a related displicine). Please note:We use the term Reinforcement Learning as an umbrella term rather than a specialist term for state-dependent action set frameworksCompleting a module / thesis on this topic as part of bachelor’s degree is not considered as sufficient academic experience. We’re primarily thinking about the experience of conducting an original piece of research as part of an MRes, PhD, fellowship, etcProficiency in Python and SQLExperience of using Cloud technologies. GCP will be ideal, but other mainstream ones are fine as wellExperience of / exposure to model deployment and/or software developmentDemonstrable statistical and machine learning knowledgeEffective communication skills to work with different stakeholders / team members with varying degrees of knowledge in Data ScienceA collaborative team playerHighly Desirable qualifications:Research degree (MRes or PhD) with a thesis on Reinforcement Learning or related disciplineKnowledge / experience in Causal InferenceCommercial experience in implementing and deployment RL or a similar personalisation systemCommercial experience in software developmentCommercial ML Ops experienceLife At WPP Media & BenefitsOur passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.We believe the best work happens when we\’re together, fostering creativity, collaboration, and connection. That\’s why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.Please note this is a UK based role and requires individuals to have the right to work in this locationPlease read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide.While we appreciate all applications received, only those candidates selected for an interview will be contacted.Seniority levelSeniority levelMid-Senior levelEmployment typeEmployment typeFull-timeJob functionJob functionEngineering and Information TechnologyIndustriesMarket Research, Advertising Services, and Online Audio and Video MediaReferrals increase your chances of interviewing at GroupM by 2xSign in to set job alerts for “Senior Data Scientist” roles.London, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 2 days agoDeputy Director, Data Engineering, Data Science and AILondon, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 3 days agoLondon, England, United Kingdom 2 months agoEMEA ML Practice – Sr. Data Science ManagerLondon, England, United Kingdom 2 weeks agoMachine Learning Scientists and Engineers: AI for QuantumLondon, England, United Kingdom 1 month agoEMEA ML Practice – Sr. Data Science ManagerGreater London, England, United Kingdom 1 week agoLondon, England, United Kingdom 17 hours agoLondon, England, United Kingdom 1 week agoCity Of London, England, United Kingdom 4 weeks agoSenior Marketing Data Scientist – Strategic Growth PartnerLondon, England, United Kingdom 2 weeks agoGreater London, England, United Kingdom £60,000.00-£70,000.00 1 month agoSVP/Senior Director of Data Science – GenAI (relocate to UAE, tax free)Research Scientist (Quantum Chemistry and Machine Learning), LondonLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 1 day agoLondon, England, United Kingdom 6 days agoLondon, England, United Kingdom 3 days agoLondon, England, United Kingdom 3 days agoQuantitative Researcher (Machine Learning)London, England, United Kingdom 3 months agoWe’re unlocking community knowledge in a new way. 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