AI/Data Science Product Lead

Publicis Groupe Holdings B.V
London
3 weeks ago
Create job alert

Company description

Publicis Media helps clients drive sustainable business growth by harnessing the modern media landscape to drive one-to-one consumer connections at scale. Publicis Media UK is made up of 2000 people working across market-leading media agencies including Zenith, Starcom and Spark Foundry as well as specialist practices Publicis Media Exchange (PMX), Performics, Publicis Sport & Entertainment, Publicis Media Content and NextTECHnow. Together they combine deep expertise in media investment, strategy, insights and analytics, data and technology, commerce, performance marketing and content. Publicis Media is part of Publicis Groupe and is present in more than 100 countries with over 23,500 employees worldwide.

Our Commitment
Publicis Media is committed to building a culturally diverse workforce and therefore strongly encourages applications from underrepresented groups. We are committed to equality of opportunity and welcome applications from individuals, regardless of their background.

About Publicis Performics:
Are you ready to re-invent digital marketing? At Performics, we're accelerating the great missions of our clients in the ever-evolving world of Social engine marketing, programmatic, social media, Commerce and affiliates. If you're ready to move at the speed of Google, Facebook, and Amazon, have an entrepreneurial spirit, get excited about finding smarter ways to do things, and demand performance for your clients, we'd love to meet you. We'll give you the tools, support, and freedom to lead, innovate, and grow. We hire exceptional people for our global headquarters in the US alongside major cities across the world. Our international presence spans 57 markets (and growing) including regional hubs in London, Dubai, and Singapore.

Why Work with Us?
The Performics function strategizes and provides digital activation services for global advertisers in over 57+ markets around the world with the aim to deliver the optimal outcome. Our Performance Centre of Excellence drives performance solutions across several channels including social, social, programmatic, commerce and affiliates. We have 30 different nationalities in our teams and work closely with teams from Google, Meta, TradeDesk and Amazon to deliver innovative solutions that helps deliver business results to our clients.

Overview

We are seeking a highly motivated and experienced AI/Data Science Product Strategy Lead to spearhead the development and implementation of innovative AI-powered solutions that will revolutionize our performance marketing capabilities. This pivotal role will be responsible for envisioning, building, and scaling AI automations and measurement products that directly enhance campaign performance, drive efficiency, and unlock new opportunities for our clients.

You will be at the forefront of leveraging recent advancements in AI, particularly in the areas of Large Language Models (LLMs) and AI agent frameworks, to create truly game-changing solutions within a performance media context. This role demands a strategic thinker with strong technical acumen, a passion for innovation, and the ability to translate complex AI concepts into tangible and scalable product offerings.

Responsibilities

  1. Develop and own the AI product vision and strategy for performance marketing:Define a clear roadmap for AI-powered products and automations that address key challenges and opportunities within performance media, aligning with the agency's overall strategic objectives.
  2. Lead the ideation, development, and launch of AI-driven solutions:Conceptualize and build innovative AI products and automations focused on areas such as campaign optimization, audience segmentation, creative generation, bid management, reporting, and measurement.
  3. Develop and implement AI-powered measurement solutions:Create advanced attribution models, predictive analytics tools, and automated reporting dashboards that leverage AI to provide deeper insights into campaign performance and ROI.
  4. Build and deploy AI automations leveraging LLMs and AI agent frameworks:Design and implement solutions using cutting-edge technologies like LangChain, AutoGen, CrewAI, Semantic Kernel, LlamaIndex, and similar frameworks to automate tasks, enhance decision-making, and improve campaign performance.
  5. Stay ahead of the curve on emerging AI technologies:Continuously research and evaluate new advancements in AI, particularly in the areas of LLMs, generative AI, and agent frameworks, and identify opportunities for their application within performance marketing.
  6. Collaborate with cross-functional teams:Work closely with media buyers, analysts, data scientists, and engineering teams to define product requirements, manage development sprints, and ensure successful product launches and adoption.
  7. Drive the adoption and scaling of AI solutions:Develop and implement strategies to ensure the successful integration and adoption of AI products across the agency's client portfolio, focusing on measurable impact and scalability.
  8. Prototype and iterate rapidly:Develop MVPs and prototypes to test and validate AI solutions, iterating based on feedback and data.
  9. Write clean, efficient, and well-documented code:Contribute to the development of AI solutions through coding and scripting, ensuring maintainability and scalability.


Qualifications

  1. Extensive experience in product roles within the performance marketing or advertising technology space, with a strong focus on AI and automation.
  2. Proven experience building and launching AI-powered products and automations specifically within a performance media context. This includes hands-on experience with campaign optimization, bidding algorithms, audience segmentation, and reporting solutions.
  3. Deep understanding of AI/ML concepts and techniques, with practical experience in applying them to real-world marketing challenges.
  4. Experience building products and automations leveraging Large Language Models (LLMs) and AI agent frameworks.
  5. Familiarity and practical experience with tools like LangChain, AutoGen, CrewAI, Semantic Kernel, LlamaIndex, or similar.
  6. Demonstrated ability to identify innovative AI solutions and successfully scale them within an organization.
  7. Strong coding skills in Python or similar languages, with experience in developing and deploying AI/ML models.
  8. Proficiency in working with data and analytics platforms, including experience with data manipulation, analysis, and visualization.
  9. Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
  10. Strong communication, presentation, and interpersonal skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.
  11. Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Marketing, or a related field.


Bonus Points:

  1. Experience working in or with performance media agencies.
  2. Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure).
  3. Familiarity with marketing automation platforms and APIs.
  4. Contributions to open-source AI projects or publications.


Additional information

Publicis Mediahas fantastic benefits on offer to all of our employees. In addition to the classics, Pension, Life Assurance, Private Medical and Income Protection Plans we also offer;

  • WORK YOUR WORLDopportunity to work anywhere in the world, where there is a Publicis office, for up to 6 weeks a year.
  • REFLECTION DAYS- Two additional days of paid leave to step away from your usual day-to-day work and create time to focus on your well-being and self-care.
  • HELP@HAND BENEFITS24/7 helpline to support you on a personal and professional level. Access to remote GPs, mental health support and CBT. Wellbeing content and lifestyle coaching.
  • FAMILY FRIENDLY POLICIESWe provide 26 weeks of full pay for the following family milestones: Maternity, Adoption, Surrogacy and Shared Parental Leave.
  • FLEXIBLE WORKING, BANK HOLIDAY SWAP&BIRTHDAY DAY OFFYou are entitled to an additional day off for your birthday, from your first day of employment.
  • GREAT LOCAL DISCOUNTSThis includes membership discounts with Soho Friends, local restaurants and retailers in Westfield White City and Television Centre.

Full details of our benefits will be shared when you join us!

Publicis Groupe operates a hybrid working pattern with full time employees being office-based three days during the working week.

We are supportive of all candidates and are committed to providing a fair assessment process. If you have any circumstances (such as neurodiversity, physical or mental impairments or a medical condition) that may affect your assessment, please inform your Talent Acquisition Partner. We will discuss possible adjustments to ensure fairness. Rest assured, disclosing this information will not impact your treatment in our process.

Please make sure you check out the Publicis Career Page which showcases our Inclusive Benefits and our EAG's (Employee Action Groups).#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Product Manager - AI, ML & Data Science

Data Science Lead

Data Scientist, Product Analytics

Head of Data Science and Architecture

Distinguished Engineer - AI & Data Science

Senior Data Scientist

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.

Contract vs Permanent AI Jobs: Which Pays Better in 2025?

n the ever-evolving world of technology, the competition for top talent in artificial intelligence (AI) is intense—and the rewards are significant. By 2025, AI roles in machine learning, natural language processing, data science, and robotics are expected to be among the highest-paid professions within the UK technology sector. As an AI professional, deciding between contracting (either as a day‑rate contractor or via fixed-term contracts) and permanent employment could drastically impact your take‑home pay, job security, and career trajectory. In this article, we will delve into the various types of AI roles in 2025—particularly focusing on day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions. We will compare the earning potential across these three employment types, discuss the key pros and cons, and provide practical examples of how your annual take‑home pay might differ under each scenario. Whether you are already working in AI or looking to break into this booming field, understanding these employment options will help you make an informed decision on your next move.