Sobre esta vaga de Junior Data Scientist na Monks
Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).
About the Role
As a Data Scientist at Monks, you will support the design, development, and deployment of 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 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 simple statistical analysis and modeling.
- Support API authentication and automate ETL processes for data integration and transformation in cloud environments.
- Contribute to 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 You
The essentials:
- Bachelor's or Master's in a quantitative subject such as Data Science, Computer Science, Mathematics, Statistics, or a related field.
- 1+ years of work experience in data science, data engineering, or a related field.
- Familiarity with 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.
- Fluent English communication and writing 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's 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.
#LI-RE1 #LI-Hybrid
About Monks
Monks is the global, digital-first, data-driven, unitary operating brand of S4Capital plc, where our culture centers on how we show up for the work and for one another. That begins with the commitment to strive for mastery—taking deep pride in our craft and creating work that sets the bar. In everyday execution, we drive momentum by choosing bold action rather than waiting for certainty. Above all, our teams are stronger together, bringing diverse perspectives into a unified team that communicates with clarity, trust, and mutual respect.
This commitment to craft and innovation translates directly into widespread industry acclaim: Monks was named a Contender in The Forrester Wave™: Global Marketing Services and a leader in the 2026 Gartner® Magic Quadrant™ for Global Digital Marketing Agencies. It 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 (2025), Monks was also awarded Business Intelligence Group’s 2026 Excellence in Artificial Intelligence Award in the Human-Machine Interaction Team category. Additionally, Monks.Flow earned AI-based Marketing Solution of the Year at the 2026 AI Breakthrough Awards and a 2026 Global Generative AI Award in the Agentic Marketing Innovation category. Finally, 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.
