Senior Data Scientist

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About the Role

As a Senior Data Scientist at Monks, you will lead exciting projects focused on designing, developing, and deploying scalable Machine Learning (ML) and Generative AI (GenAI) models aimed at optimising marketing effectiveness. This role requires a data expert with proven experience in deploying production-grade models on public cloud platforms such as GCP, AWS, or Azure.

You should have strong data literacy with the ability to translate complex technical applications into meaningful business value. Ideally, you have a background in marketing or product data science, coupled with a deep understanding of machine learning, statistics, and cloud technologies. While the role mainly focuses on data science, it also offers opportunities to tap into data engineering projects.

This role spans across the EMEA and MENA regions and involves close collaboration with our Analytics, Strategy, and Solutions Engineering teams. We offer a dynamic and challenging work environment at the forefront of AI-driven innovation in marketing. If you're passionate about pushing the boundaries of what’s possible, we encourage you to apply!

Responsibilities:

• Provide technical mentorship and guidance to junior team members.
• Upskill the wider team on the best practices of using AI and data.
• Design, develop, deploy, and manage scalable Machine Learning (ML) and Generative AI (GenAI) models across multiple cloud platforms, including AWS and GCP.
• Build and deploy advanced machine learning models, such as propensity, churn, and attribution models, to drive predictive insights and enhance decision-making.
• Design and implement scalable GenAI architectures using APIs like ChatGPT and Gemini, integrated with LangChain libraries.
• Write optimised SQL queries to extract insights from large, complex datasets, leveraging advanced techniques such as window functions and DDL statements.
• Conduct and interpret statistical tests, causal inference, or ITS models to validate hypotheses and evaluate the impact of tests.
• Authenticate through multiple platform APIs and manage an end-to-end automation of ETL processes for data integration and transformation in the cloud.
• Implement efficient data models using tools like dbt and Dataform to convert raw data into structured formats for data warehousing and machine learning applications.
• Collaborate with internal and external stakeholders to understand their business challenges and support them in building tailored AI solutions and roadmaps.  
• Navigate and lead the complexities of a data science project, demonstrating the ability to differentiate between various solutions and apply the most suitable approach based on trade-offs between model accuracy, deployment cost, and data requirements.
• Create detailed documentation and establish best practices for building and deploying machine learning models to ensure consistency and scalability.
• Communicate complex technical concepts and results to both technical and non-technical stakeholders, including clients.

About You

The essentials:

• Bachelor's or Master's in a quantitative subject such as Data Science, Computer Science, Mathematics, Statistics, or a related field.
• 3+ years of working experience in data science, data engineering, or a related field.
• Experience in designing and deploying cloud solutions on platforms such as GCP or AWS.
• Professional Cloud Certification such as GCP Cloud Architect, Data Engineer, Machine Learning Engineer, or any equivalent.  
• Strong proficiency in Python and SQL. 
• Solid understanding of statistics, machine learning algorithms, and Gen-AI applications.
• Expertise in authenticating and authorising API requests using methods such as OAuth and API keys, and troubleshooting common API-related challenges.
• Familiarity with data modelling tools such as dbt or Dataform.
• Expertise with data warehousing and ETL tools such as Amazon Redshift and Google BigQuery.
• Experience with building machine learning models or/and Gen-AI applications in production environments.
• Familiarity with data privacy principles and best practices, including compliance with relevant regulations and standards.
• Fluent English communication and written skills.
• Strong analytical and problem-solving skills with the ability to work independently and in a team environment.

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants from all backgrounds who are excited to contribute to our mission.  

#LI-RE1 #LI-Hybrid

About Monks 

Monks is the global, digital-first, data-driven, unitary operating brand of S4 Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global Marketing and Technology Services to redefine how brands interact with the world. Through Monks.Flow, its flagship AI ecosystem for marketing orchestration, Monks transforms marketing into a growth engine, collapsing timelines and connecting brands to culture in real time. By deploying bespoke intelligent agents across disciplines and delivering culturally relevant, high-impact creative and digital solutions, Monks solves key critical business challenges across the entire brand enterprise to help brands sustain long-term impact.

Monks was named a Contender in The Forrester Wave™: Global Marketing Services, ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger’s Programmatic Power Players list every year (2020-24). Named Adweek’s first AI Agency of the Year (2023) and The One Show’s inaugural AI Pioneer Organization, Monks was also awarded Business Intelligence Group’s 2025 Excellence in Artificial Intelligence Award in both the Organizational and AI Product categories. As a trusted partner to cutting-edge innovators in tech, Monks earned titles such as Optimizely Experimentation Partner of the Year (2025), runner-up for the Adobe Firefly Partner Award (2024), and Workato’s AI Visionary Customer Impact Award (2024). Additionally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner.

We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.