Senior Data Scientist - Media Optimisation London, England
Senior Data Scientist - Media Optimisation London, England

Senior Data Scientist - Media Optimisation London, England

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join our team to enhance AI algorithms and develop innovative data solutions.
  • Company: WPP Media is a global leader in creative transformation, driving growth through data and technology.
  • Benefits: Enjoy competitive pay, flexible work options, and a supportive culture focused on growth and well-being.
  • Why this job: Work on cutting-edge projects that impact global clients while collaborating with a passionate team.
  • Qualifications: A degree in Data Science or related field, plus hands-on experience with optimisation algorithms and cloud tech.
  • Other info: This role is hybrid, requiring UK residency and the right to work in the UK.

The predicted salary is between 43200 - 72000 £ per year.

About WPP Media

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities.

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.

About Choreograph: A Leading WPP Media Brand

Choreograph 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 Impact

The Media Optimisation product is an AI-powered optimization platform that enables media traders to deploy complex buying strategies and deliver better outcomes for our clients, at scale.

This is no start-up. We’re already trusted by our clients to manage hundreds of millions of media spend.

At the heart of the product is our proprietary algorithms, developed in-house and refined by the team over time. These algorithms enable the platform to make budget and targeting adjustments that improve campaign performance, every day, for everyone of our clients across the globe.

Our ambition as a Data Science team is to further extend such competitive advantage by innovating our algorithms and expanding into more digital advertising platforms.

We are on the lookout for a Senior Data Scientist to join our team to further improve our proprietary algorithms, as well as to innovate the product with latest advances in ML / AI. 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 optimisation (algorithms, or related ML disciplines), strong statistical knowledge and hands-on cloud technology experience.

As our algorithms are all proprietary and built on in-house team, the candidate needs to be truly, technically competent, to be able to quickly learn a complex system, customise source code, add in new features and code from scratch.

Whilst model deployment/ software development experience is very, 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.

Skills and Experience

At 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.

Key Responsibilities:

  • Further improve existing algorithms and develop net new DS features.
  • Design and contribute to the end-to-end machine learning pipeline from data collection, reprocessing to model training, simulation, evaluation, deployment and experimentation / testing.
  • Implement and interpret explainability frameworks to provide clear insights into model decisions, ensuring transparency and compliance with WPP standards.
  • Collaborate with stakeholders to identify business 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 of academic research and industry advancements in optimisation, plus AI/ML in general. Knowledge-share and support the wider team and Data Science community to drive innovations based on your work.

Essential qualifications:

  • Bachelor's or master's degree in Data Science, Computer Science, Engineering, Statistics, or a related quantitative field.
  • Hands-on experience in optimisation algorithms (or a related discipline). Please note: - Whilst we’d consider candidates with relevant academic background, we’d prefer those with hands-on, commercial experience solving practical problems with real-world data.
  • Proficiency in Python (and key ML frameworks) and SQL.
  • Experience of using cloud technologies. - We’re AWS-based but migrating to GCP soon. Experience in any of these two, or another mainstream service is fine.
  • Experience of/exposure to model deployment and/or software development.
  • Strong, demonstrable statistical and machine learning knowledge.
  • Effective communication skills to work with different stakeholders / team members with varying degrees of knowledge in Data Science.
  • A collaborative team player.

Highly Desirable qualifications:

  • Hands-on experience in Airflow.
  • Commercial experience in software development.
  • Commercial ML Ops experience.

Life at WPP Media & Benefits

Our 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 location.

Senior Data Scientist - Media Optimisation London, England employer: Group M Worldwide Inc.

WPP Media is an exceptional employer that prioritises creativity, collaboration, and employee growth. With a strong commitment to fostering a supportive work culture, employees benefit from competitive medical and retirement plans, significant paid time off, and opportunities for professional development within a global network. Located in London, the company embraces a hybrid work model, allowing team members to thrive both in the office and remotely while working on cutting-edge projects that drive innovation in the media landscape.
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Contact Detail:

Group M Worldwide Inc. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Scientist - Media Optimisation London, England

✨Tip Number 1

Familiarise yourself with the latest advancements in AI and machine learning, particularly in optimisation algorithms. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.

✨Tip Number 2

Network with current employees or alumni from WPP Media to gain insights into the company culture and expectations for the Senior Data Scientist role. This can provide you with valuable information that may not be available in the job description.

✨Tip Number 3

Prepare to discuss your hands-on experience with cloud technologies, especially AWS and GCP. Be ready to share specific examples of how you've used these platforms in previous projects, as this is a key requirement for the position.

✨Tip Number 4

Showcase your collaborative skills by preparing examples of past teamwork experiences. Highlight how you’ve worked with diverse stakeholders to solve complex problems, as this aligns with the team-oriented culture at WPP Media.

We think you need these skills to ace Senior Data Scientist - Media Optimisation London, England

Optimisation Algorithms
Machine Learning Techniques
Statistical Analysis
Python Programming
SQL Proficiency
Cloud Technology Experience (AWS/GCP)
Model Deployment
Software Development Exposure
Data Collection and Processing
Model Training and Evaluation
Explainability Frameworks
Collaboration with Stakeholders
Rigorous Model Testing
Effective Communication Skills
Documentation and Reporting

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data science, optimisation algorithms, and cloud technologies. Use keywords from the job description to demonstrate that you meet the specific requirements of the Senior Data Scientist role.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how it can drive innovation in media optimisation. Mention specific projects or experiences that showcase your skills in machine learning and collaboration with stakeholders.

Showcase Technical Skills: Clearly outline your proficiency in Python, SQL, and any relevant machine learning frameworks. If you have experience with cloud technologies like AWS or GCP, be sure to include that as well, as it's highly relevant to the role.

Demonstrate Problem-Solving Ability: Provide examples of how you've tackled complex problems using data science techniques. Highlight any experience with model testing, validation, and the implementation of explainability frameworks to show your understanding of the importance of transparency in AI.

How to prepare for a job interview at Group M Worldwide Inc.

✨Showcase Your Technical Skills

As a Senior Data Scientist, you'll need to demonstrate your proficiency in optimisation algorithms and machine learning frameworks. Be prepared to discuss specific projects where you've applied these skills, particularly in Python and SQL, and how they relate to the role.

✨Understand the Company’s Mission

Familiarise yourself with WPP Media and Choreograph's goals and values. Understanding their mission to transform marketing through data will help you align your answers with their objectives and show that you're genuinely interested in contributing to their success.

✨Prepare for Problem-Solving Questions

Expect to face questions that assess your problem-solving abilities. Think of examples where you've tackled complex data challenges or improved algorithms. Be ready to explain your thought process and the impact of your solutions on previous projects.

✨Emphasise Collaboration and Communication

WPP Media values teamwork and effective communication. Highlight your experience working with diverse teams and stakeholders. Share examples of how you've translated technical concepts into accessible language for non-technical audiences, showcasing your ability to bridge gaps.

Senior Data Scientist - Media Optimisation London, England
Group M Worldwide Inc.
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  • Senior Data Scientist - Media Optimisation London, England

    London
    Full-Time
    43200 - 72000 £ / year (est.)

    Application deadline: 2027-06-25

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    Group M Worldwide Inc.

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