Data Scientist

Posted 9 Days Ago
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London, Greater London, England
Hybrid
3-5 Years Experience
AdTech • Digital Media • Marketing Tech
Marketing built on proof, not promises.
The Role
Passionate Data Scientist needed to shape the future of Machine Learning & Generative AI applied to creative marketing technology. Responsibilities include developing datasets, building innovative models, and automating video delivery and optimization within programmatic demand side platforms. Collaborate with stakeholders to drive business growth through valuable insights and data-driven solutions.
Summary Generated by Built In

Company Description

Publicis Groupe is one of the largest advertising agencies holding companies globally, renowned for its leadership in marketing, communications, and digital transformation. Operating under the Power of One model, we integrate and develop competencies to increase business value for our clients.

Publicis Production leverages the entire global production capabilities of Publicis Groupe, alongside access to best-in-class technology worldwide. Within Publicis Production, the Dynamic Content Engine (DCE) team manages a leading digital media platform empowering business to create, distribute, and optimise dynamic content for effective audience engagement, committed to delivering cutting-edge solutions driving measurable results for our clients.

Job Description

DCE is a proprietary platform built to deliver effective, personalised communications at scale. It brings together an innovative approach to the ideation and development of dynamic creative, a tech platform to automate delivery and optimisation in social and programmatic platforms to deliver both effectiveness (more positive outcomes) and efficiency (positive outcomes that cost less).
Role

We're seeking a passionate Data Scientist to join our team and shape the future of Machine Learning & Generative AI applied to creative marketing technology. Leveraging expertise in MarTech and AdTech, you'll build high-quality datasets, power innovative models, and develop robust marketing analytics tools for our DCE platform, automating video delivery and optimization within programmatic demand side platforms.

Collaborate with the Product Owner to design and execute Proof of Concept tests advancing the functionality of the ecosystem. Utilise strong analytical and problem-solving skills to synthesize complex data, translate insights into actionable recommendations, and clearly communicate findings to diverse stakeholders.

Responsibilities include conducting experiments, developing models, and generating valuable insights to identify opportunities, evaluate marketing strategies, and drive business growth. We seek a candidate thriving in a fast-paced environment, passionate about innovation, and committed to delivering data-driven solutions.

Key tasks

  • Own end-to-end delivery of actionable model outputs, data products, and insights for the Dynamic Content Engine (DCE), involving data extraction, cleaning, preprocessing, and development of AI & machine learning algorithms.
  • Automate data products and model outputs to enable DCE to consistently drive measurable results and effective insights at scale.
  • Design, measure and refine campaign studies backed by data intelligence across multiple data sources and objectives. 
  • Collaborate with stakeholders to share outputs and contribute to the design and delivery of new features leveraging models and data. Handle data imperfections and validate data integrity for modelling purposes.
  • Report to the Head of Product, supporting the rollout of new data products and machine learning models, and transformation of data, reporting, and analytics.
  • Utilise various programming paradigms (imperative, object-oriented, functional, declarative) and work in multi-threaded, concurrent, non-blocking, and event-based systems.
  • Apply Software Design Patterns and Enterprise Architecture Patterns.
  • Utilise continuous integration, version control systems, and cloud-based services (e.g., Windows Azure, Amazon AWS, Docker, Kubernetes).
  • Employ rapid application development approaches and techniques for mission-critical solutions.
  • Focus on delivering and optimizing projects on Facebook and Google's DV360.
  • Report and present findings and developments clearly and efficiently, verbally and in writing.
  • Support the core DCE development team on additional work streams.

Qualifications

  • Possess a bachelor’s or master’s degree (or equivalent) in Data Science, Computer Science, Mathematics, or a related quantitative field.
  • Experience using SQL to extract data from internal databases and leverage Python for data acquisition from external sources (APIs/web scraping).
  • Skilled in data visualization tools (e.g., Tableau) and creating clear, concise data summaries (e.g., PowerPoint) for diverse audiences, including senior leadership.
  • Proficient in Python and familiar with machine learning frameworks.
  • Possess an intermediate to advanced understanding of Artificial Intelligence and Machine Learning concepts. (Bonus: Deep understanding and hands-on experience with optimization, data mining, machine learning, deep learning, and computer vision analysis)
  • Demonstrate strong analytical and quantitative abilities for effective data analysis and client presentations.
  • Experience translating data insights into business value and a proactive approach to problem-solving.
  • Possess excellent verbal, written, and interpersonal skills for clear communication across all levels.
  • Thrive in a dynamic environment, manage multiple workstreams efficiently, and readily embrace new concepts.
  • Be proficient in all MS Office applications with advanced Excel skills. (Bonus: Knowledge of authorization/authentication processing)
  • Experience mining unstructured data and ingesting data from various sources (REST/SOAP frameworks).
  • Professional experience in a data scientist or a related software engineering role. (Bonus: Experience creating business value from data and exposure to working in an insight delivery environment)
  • Up to date with latest Generative AI research in the field to compliment and suggest better solutioning frameworks.

Additional Information

TRUST

Trust is the cornerstone upon which we build our relationships. We hold ourselves to the highest standards of how a partner should behave.

We treat our people and our clients with respect, transparency and honesty.

TALENT

This is first and foremost a people business. We are committed to ensuring Publicis Media a destination for the best talent in our industry. We value people as individuals, growing ourselves as we grow our client’s business.

TRANSFORMATION

True transformation comes when we stop managing change, and instead initiate change. We believe in our purpose to be the admired force for business transformation. We believe that focusing on performance and results has the power to transform client business.

Top Skills

Python
The Company
London
8,000 Employees
Hybrid Workplace
Year Founded: 1969

What We Do

When you’re one of us, you get to run with the best. For decades, we’ve been helping marketers from the world’s top brands personalize experiences for millions of people with our cutting-edge technology, solutions and services. Epsilon’s best-in-class identity gives brands a clear, privacy-safe view of their customers, which they can use across our suite of digital media, messaging and loyalty solutions. We process 400+ billion consumer actions each day and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Positioned at the core of Publicis Groupe, Epsilon is a global company with more than 8,000 employees around the world.

Why Work With Us

Check out these resources to learn more about what makes Epsilon EPIC:
• Culture: https://www.epsilon.com/us/about-us/our-culture-epsilon
• DE&I: https://www.epsilon.com/us/about-us/diversity-equity-inclusion
• CSR: https://www.epsilon.com/us/about-us/corporate-social-responsibility
• Life at Epsilon: https://www.epsilon.com/us/about-us/epic-blog

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