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Senior Data Scientist - Creative Optimization London, England

Group M Worldwide Inc.
London
2 weeks ago
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Senior Data Scientist, Creative Optimization
Who we are:
Choreograph is WPP’s global data products and technology company.We’reon 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,dataand analytics capabilities. We deliver this through the Open Media Studio, an AI-enabledmediaand data platform for the next era of advertising.
We’reendlessly curious. Our team of thinkers, builders,creatorsand problem solvers are over1,000 strong, across 20 markets around the world.
About theCreativeOptimisationproduct:
TheCreativeOptimisationproductis a DCO (Dynamic Creative Optimization) applicationthat is built andmaintainedin-houseat Choreograph, by theOptimizationteam.
The productenablespersonalization ofcreative content at scale, across multiple channels such as digital display, mobile apps, CTV, YouTube, video and social.
This is no start up.The application isalreadyservingtens of millions of adsand terabytes’ worth of media,everydayin real-time,across theglobe.
About this role:
We are on the lookout for aSeniorData Scientisttojoin our team toco-develop astep-change feature:AlgorithmicContentOpitmization(ACO).Our vision is toleaveragedata signals to algorithmically servethe most relevant creative to the right audience in the right moment that maximises performance, continuously.
The role will report to VP DataScience, andbe part ofasmall (but growing!) team of Data Scientists.
The ideal candidate willhave a background in Reinforcement Learning(or related disciplines), with hands-on cloud technology experience.
Whilst commercial experience is highly desirable,giventhedeployment ofRLat scaleremainsrelativelynasant,we’rehappy to consider candidates with academic researchas well as commercialbackground.
The candidate though does have to be truly, technically competent.Forthe scale and complexity at which our productoperates,off-the-shelf solutions areoften notfit-for-purpose.The ideal candidatehas tohave the ability tocustomisesource code,addinnewfeaturesand code from scratch.
Whilst model deployment/ software developmentexperience is highly desirable,we do have a team of engineers to support so exposurein thisspacewill be sufficient.
Culture-wise,we’relooking fora great teamplayerwho ispassionate about applying Data Science techniques to solve complex problems and drive innovation.
In return, you will get the opportunity tosolvecutting-edgeproblems,anddrive measurable performance improvement for our clients.Not tomention, working witha team ofsupportive,seasoneddeverlopers, productmanagersand datascientistswho have successfully builtand deployedscalable, global products.
Key Responsibilities:
Develop and optimize theACOalgorithm(s) and related Data Science components for the product
Design andcontribute tothe end-to-end machine learning pipeline from data collection, reprocessing to model training,simulation,evaluation,deploymentand experimentation / testing
Implement and interpret explainability frameworks toprovideclear insights into model decisions, ensuring transparency and compliance withWPPstandards
Collaborate with stakeholders toidentifybusiness needs and translate these requirements into technical solutions that are scalable and impactful
Conduct rigorous model testing and validation to ensure robustness and accuracy
Prepare detailed documentation and reports that communicate complex model behaviours, predictions, and insights in a manner accessible to both technical and non-technical audiences
Stay abreast ofacademic researchandindustry advancements inRL, plusAI/ML in general.
Knowledge-share and support the wider team and Data Science community todriveinnovationsbased onyour work
Essential qualifications:
Bachelor's ormaster's degree inDataScience, Computer Science, Engineering, Statistics, or a related quantitative field
Hands-on(academic/commercial)experience inimplementingReinforcement Learning (or a relateddisplicine).Pleasenote:
Weuse the termReinforcementLearningasanumbrella termrather than a specialist term for state-dependent action set frameworks
Completing a module/ thesis on this topic as part of bachelor’s degree is notconsidered assufficientacademic experience.We’reprimarily thinkingaboutthe experience of conducting an original piece of research as part of anMRes, PhD, fellowship, etc
Proficiencyin PythonandSQL
Experience of using Cloud technologies. GCP will be ideal, but other mainstream ones are fine as well
Experienceof/exposuretomodel deploymentand/orsoftware development
Demonstrablestatisticalandmachine learningknowledge
Effective communication skills toworkwith different stakeholders / team members with varying degrees of knowledge in Data Science
A collaborative team player
Highly Desirable qualifications:
Research degree (MResorPhD)with a thesis on Reinforcement Learning or related discipline
Knowledge / experience in Causal Inference
Commercial experience in implementing and deployment RL or a similar personalisation system
Commercial experience in softwaredevelopment
CommercialML Opsexperience
(Please note this is a UK based role and requires individuals to have the right to work in this location)

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