Data Scientist

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As a Data Scientist at Monks, you will work on designing, developing, and deploying Machine Learning (ML) and Generative AI (GenAI) models aimed at optimising marketing effectiveness.  You will collaborate closely with senior data scientists to build scalable solutions, leveraging public cloud platforms such as GCP, AWS, or Azure.

You should have a strong foundation in data literacy and the ability to interpret technical concepts into practical business insights. Ideally, you have some experience in marketing or product data science, coupled with a strong foundation 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 region 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:

• Assist in designing, developing, and deploying Machine Learning (ML) and Generative AI (GenAI) models on cloud platforms such as AWS and GCP.
• Support the development and implementation of predictive models, such as propensity and churn models, to drive predictive insights and enhance decision-making.
• Contribute to the design of GenAI architectures using APIs like ChatGPT and Gemini, integrated with LangChain libraries.
• Write SQL queries to extract insights from large datasets
• Conduct statistical analysis, including A/B testing. 
• Support in API authentication and automating ETL processes for data integration and transformation in cloud environments.
• Contribute in implementing and managing data models using tools like dbt and Dataform to convert raw data into structured formats for data warehousing and machine learning applications.
• Learn to navigate the lifecycle of a data science project, understanding trade-offs between model accuracy, deployment cost, and data availability.
• Follow and contribute to the documentation and best practices for building and deploying machine learning models to ensure consistency and scalability.
• Communicate basic technical concepts and results to both technical and non-technical stakeholders, including clients.

About YouThe essentials:

• Bachelor or Masters in a quantitative subject such as Data Science, Computer Science, Mathematics, Statistics, or a related field.
• 1+ years of working experience in data science or data engineering or a related field.
• Familiarity in designing and deploying cloud solutions on platforms such as GCP or AWS.
• Associate Cloud Certification such as GCP Cloud Architect, Data Engineer or any equivalent.  
• Strong proficiency in Python and SQL. 
• Solid understanding of statistics, machine learning algorithms and Gen-AI applications, with a strong interest in learning more.
• Good understanding of APIs, including authentication methods (e.g., API keys, OAuth), with a curiosity to explore and troubleshoot.
• Awareness of data modelling tools such as dbt or Dataform.
• Good understanding of data warehousing and ETL concepts, with exposure to tools like Amazon Redshift or Google BigQuery being beneficial.
• Fluent English communication and written skills.
• Strong analytical and problem-solving skills with the ability to work independently and in a team environment.

Not a must, but a plus:

• Bachelor or Masters Degree in Data Science. 
• Previous agency or consultancy experience is a plus.
• Professional Cloud Certification.
• Familiarity with marketing analytics tools and data (e.g. Google Analytics, Adobe Analytics).
• Awareness of MLOps, CI/CD and version control tools.
• Familiarity with social data  (e.g. Instagram, Facebook, Tiktok).
• Knowledge of digital advertising industry practices and client verticals (retail, finance, etc.) is a plus.
• Experience with Looker Studio or any visualisation tool.

Please submit your CV & Application in English.

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.

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About Monks

Monks is the global, purely digital, unitary operating brand of S4Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. Its integration of systems and workflows delivers unfettered content production, scaled experiences, enterprise-grade technology and data science fueled by AI—managed by the industry’s best and most diverse digital talent—to help the world’s trailblazing companies outmaneuver and outpace their competition.

Monks was named a Contender in The Forrester Wave™: Global Marketing Services. It has remained a constant presence on Adweek’s Fastest Growing lists (2019-23), ranks among Cannes Lions' Top 10 Creative Companies (2022-23) and is the only partner to have been placed in AdExchanger’s Programmatic Power Players list every year (2020-24). In addition to being named Adweek’s first AI Agency of the Year (2023), Monks has been recognized by Business Intelligence in its 2024 Excellence in Artificial Intelligence Awards program in three categories: the Individual category, Organizational Winner in AI Strategic Planning and AI Product for its service Monks.Flow. Monks has also garnered the title of Webby Production Company of the Year (2021-24), won a record number of FWAs and has earned a spot on Newsweek’s Top 100 Global Most Loved Workplaces 2023.

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.