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- Tasks: Enhance algorithms and innovate AI-powered media optimization solutions.
- Company: Join Choreograph, WPP’s global data products and tech company transforming marketing.
- Benefits: Collaborate with a diverse team and access cutting-edge technology in a dynamic environment.
- Why this job: Work on impactful projects that drive innovation and improve client performance.
- Qualifications: Bachelor's or master's in Data Science or related field; hands-on experience with ML and cloud tech.
- Other info: UK-based role; right to work in the UK is required.
The predicted salary is between 43200 - 72000 £ per year.
Location: London
Reporting to: VP, Data Science, Optimization
Who we are: 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 is over 1,000 strong, across 20 markets around the world.
About the Media Optimization product: The Media Optimization product is an AI-powered platform that enables media traders to deploy complex buying strategies and deliver better outcomes for our clients at scale. This platform manages hundreds of millions of media spend, utilizing proprietary algorithms developed in-house and refined over time to optimize campaign performance daily across global clients. Our ambition as a Data Science team is to extend this competitive advantage by innovating our algorithms and expanding into more digital advertising platforms.
About this role: We are seeking a Senior Data Scientist to enhance our proprietary algorithms and innovate the product with the latest advances in ML/AI. Reporting to the VP of Data Science, you will join a small but growing team of Data Scientists. The ideal candidate will have a background in optimization (algorithms or related ML disciplines), strong statistical knowledge, and hands-on cloud technology experience. The role requires technical competence to learn complex systems quickly, customize source code, and develop new features from scratch. Model deployment and software development experience are highly desirable, but support from our engineering team will be available. We value team players passionate about applying Data Science to solve complex problems and drive innovation. You will have the opportunity to work on cutting-edge challenges, improve client performance, and collaborate with experienced developers, product managers, and data scientists who have successfully built and deployed scalable, global products.
Key Responsibilities:
- Improve existing algorithms and develop new Data Science features
- Design and contribute to the end-to-end machine learning pipeline, including data collection, reprocessing, model training, simulation, evaluation, deployment, and testing
- Implement and interpret explainability frameworks for transparency and compliance
- Collaborate with stakeholders to translate business needs into technical solutions
- Conduct rigorous model testing and validation for robustness and accuracy
- Prepare documentation and reports to communicate complex model behaviors and insights
- Stay updated on academic research and industry advancements in optimization and AI/ML
- Share knowledge and support the wider team to foster innovation
Essential Qualifications:
- Bachelor's or master's degree in Data Science, Computer Science, Engineering, Statistics, or related field
- Hands-on experience with optimization algorithms or related ML disciplines, with practical problem-solving experience using real-world data (academic research alone is not sufficient)
- Proficiency in Python (and ML frameworks) and SQL
- Experience with cloud technologies (AWS or GCP)
- Exposure to model deployment and software development
- Strong statistical and machine learning knowledge
- Effective communication skills for collaboration across teams
- Team-oriented mindset
Highly Desirable Qualifications:
- Hands-on experience with Airflow
- Commercial software development experience
- ML Ops experience
Please note this is a UK-based role and requires individuals to have the right to work in this location.
Senior Data Scientist - Media Optimization London, England employer: Group M Worldwide Inc.
Contact Detail:
Group M Worldwide Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Media Optimization London, England
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning and AI, particularly in the context of media optimisation. This 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 professionals in the data science and media optimisation fields. Attend relevant meetups or webinars to connect with industry experts, which could provide insights into the company culture and expectations.
✨Tip Number 3
Showcase your hands-on experience with optimisation algorithms and cloud technologies in your discussions. Be prepared to discuss specific projects where you've applied these skills, as practical experience is highly valued.
✨Tip Number 4
Demonstrate your team-oriented mindset by sharing examples of successful collaborations in your previous roles. Highlight how you’ve worked with cross-functional teams to solve complex problems, as this aligns with the company's values.
We think you need these skills to ace Senior Data Scientist - Media Optimization London, England
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description for the Senior Data Scientist position. Pay attention to the key responsibilities and essential qualifications, ensuring you understand what the company is looking for in a candidate.
Tailor Your CV: Customise your CV to highlight relevant experience in data science, optimisation algorithms, and cloud technologies. Use specific examples from your past work that demonstrate your skills in these areas.
Craft a Compelling Cover Letter: Write a cover letter that connects your background and experiences to the role. Emphasise your passion for data science and how you can contribute to the Media Optimization product. Mention any relevant projects or achievements.
Showcase Technical Skills: In your application, clearly outline your proficiency in Python, SQL, and any ML frameworks you've used. If you have experience with cloud technologies like AWS or GCP, make sure to include that as well.
How to prepare for a job interview at Group M Worldwide Inc.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with optimization algorithms and machine learning frameworks. Highlight specific projects where you've applied these skills, especially in real-world scenarios, as this will demonstrate your practical problem-solving abilities.
✨Understand the Company and Product
Research Choreograph and their Media Optimization product thoroughly. Familiarise yourself with their AI-powered platform and how it impacts media trading. This knowledge will help you articulate how your skills align with their goals during the interview.
✨Prepare for Technical Questions
Expect technical questions related to data science, model deployment, and cloud technologies. Brush up on your Python and SQL skills, and be ready to explain your thought process when solving complex problems or designing machine learning pipelines.
✨Demonstrate Team Collaboration
Since the role requires collaboration with various stakeholders, prepare examples that showcase your ability to work in a team. Discuss how you've translated business needs into technical solutions and how you communicate complex ideas effectively.
