Lead Data Scientist

WHO WE ARE

Choreographis WPPs global data products and technology company.We serve as the data and AI engine for WPP Media on a mission to transform marketing by creating data-driven technology and solutions that bridge marketing strategy toscaledactivation.

This role sits within Choreograph Services where we work directly with agencies and clients to transform the value of data. Rather than just offering off-the-shelf products we build bespoke data-driven technology solutions that empower teams accelerate performance and drive clientgrowth.

Wereendlessly team of thinkers builderscreatorsand problem solversareover 1000 strong across 20 markets around the world.

WHO WE ARE LOOKING FOR

Choreograph is seeking a Lead Data Scientist to join ourEMEA Data Science teamdedicated toa global technology individual will work in the field of creative analytics developing andutilisingcutting-edgeGenAI ideal candidate combines strong technicalexpertisein Python and Cloud environments with the ability to communicate the results of complex analyses to stakeholders.

For this client you will work alongside the data scienceteamleadto drive thetechnical execution of data scienceworkstreams ranging from prototyping predictive models toGenAI solutions. You willassistin providingmentorship and technical guidance to a small team of data scientists designingtasksand ensuringhigh standardsof code quality tofacilitatesmooth hand-offs to other teams. You will serve as a key link between Data Science Data Engineering and Product teams ensuring our work is robust reproducible and aligned with business goals.

You are client-centric an innovative problem solver and always looking for creative approaches to solve complex challenges. You thrive in collaborative environments building strong relationships acrossteamsand aligning with common goals. You are a high-agency operator who is comfortable navigating ambiguity and proactivelyidentifyingsolutions to keep projects moving forward.

Team Management

• Work with the team lead to plan and organise workstreams helping to manage priorities andensure the team delivers projects on time on budget and aligned withobjectives.

• Provide technical mentorship and guidance to a team of data scientists collaborating on task design and code reviews to ensure high-quality output

Client and Stakeholder Engagement

• Establish trust with internal and client stakeholders by producing high-quality technical documentation and clear specifications for all models and solutions.

• Effectivelydisseminatework to diverse audiences translating complex data science concepts into clear narratives for business stakeholders.

SolutionsDevelopment

• Develop and implementcutting-edgecreative analytics data science solutions ranging from predictive models to GenAI workflows.

• Overseethe solution lifecycle from design to prototype to delivery ensuring solutions arevalidated defensible and meet the strict requirements of the client.

• Championhigh standardsof code quality and reproducibility ensuring that prototypes are structured effectively for handoff.

Innovation and Best Practices

• Identifyand share best practices and learningswith the wider team contributing to the continuousevolution ofour data science capabilities.

• Support ethical AI practices and responsible data management ensuring that all solutions meet the highest standards of transparency and accountability.

• Stay informed on emerging trends and technologies helping to design innovativenew solutionsor improve existing methodologies to drive higher efficiency.

Cross-functional Collaboration

• Partner closely with data engineeringproductand engineering teams toidentifydependencies and deliver integrated data science solutions.

• Foster collaboration between technical and non-technical teams helping to translate business requirements into precise technical tasks for execution.

• Proactivelyidentifyand resolve technical or organisational blockers navigating ambiguity to find solutions rather than just reporting issues.

WHAT YOU WILL NEED

• Experience in a role within data science advanced analytics or AI ideally in a client-facing consultancy or professional services environment.

• Demonstrable success in managing large-scale data science or analytics projects thatdeliver significant business impact.

• Demonstrated ability to balance long-term strategic goals with immediate client needs driving both growth and operational excellence.

• Deepexpertisein data science methodologies including machine learning statisticalmodelling predictive analytics and data visualization. A strongproficiencyin Python is essential along with experience in cloud-based data platforms ideally GCP.

• Hands-on experience with Generative AI including working with LLM APIs (e.g. Gemini OpenAI) and prompt engineering. Experience working with unstructured data (text video or audio) is highly desirable.

• Exceptional communication and interpersonal skills with a proven ability to manage and influence senior client stakeholders. Experience in explaining complex data science concepts in business terms and helping clients adopt data-driven strategies.

• Proven ability to lead mentor and inspire a team of data scientists.A track recordof developing team members and fostering a collaborative high-performance culture.

Bonus Points

• Familiarity with the WPPMediaecosystem or experience working within a global marketing or media agency network.

• Experience working with advertising media planning or marketing technologies.

• Experience with or a keen interest in Creative Analytics specifically applying data science to measure the effectiveness of creative assets (video image text).

If you are ready to be at the forefront of the AdTech industry shaping its future and driving success for both Choreograph and our clients we encourage you to apply and join our team.

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