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Junior Data Scientist

WPPCopenhagenTechnology & Innovation
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Salary
Not listed
Job type
Full-time
Posted
15 Sept 2026
Status
Open · checked 7d ago

About this role

WPP is hiring a Junior Data Scientist to join its Copenhagen office for an engineering-led team focused on building scalable data infrastructure. This opportunity is ideal for an early-career professional with around two years of experience who is eager to turn data into trustworthy insights under senior guidance.

Role Overview

The Junior Data Scientist will work within the Open Intelligence activation arm, helping to build foundational data infrastructure and high-performance edge services. Reporting to the Lead Engineer, this position involves supporting model development, defining business questions, and collaborating closely with product managers, analysts, and data engineers. The role centers on adopting team standards for exploratory analysis, experimentation, and reproducible work within a hybrid office environment.

Key Responsibilities

Learn and apply team standards for exploratory analysis, experimentation, and reproducible data science work.
Partner with product teams, analysts, and data engineers to deliver well-scoped analyses, metrics, and model-backed features.
Help define questions, validate assumptions, and document findings for stakeholders.
Support building and evaluating models or statistical approaches for defined problems, including basic monitoring after deployment.
Contribute to data quality checks, feature understanding, and lightweight governance to keep inputs and outputs reliable.
Investigate anomalies in metrics or model behavior, document root causes, and implement fixes or escalations with mentorship.
Ask questions, share learnings in stand-ups, and explore methods and tools to move faster and smarter.

Requirements

Up to approximately 2 years of experience in data science, analytics, applied statistics, or a related internship or graduate role.
Strong hands-on programming skills in Python or R, accompanied by solid SQL knowledge for querying and transforming data.
A solid grasp of statistics and core machine learning concepts such as regression, classification, evaluation metrics, train/test splits, and overfitting.
Experience producing clear analysis in notebooks or scripts using version control via Git and basic validation of analysis code.
Comfort working with structured and unstructured datasets, including cleaning, joining, and aggregating data.
Familiarity with visualization and storytelling tools like Matplotlib, Seaborn, Plotly, ggplot, or BI tools.
Clear communication skills to explain analysis, limitations, and recommendations to diverse audiences.

Nice to Have

Familiarity with AdTech or MarTech data, metrics, and terminology.
Experience with experiment design, A/B testing, or basic causal thinking.
Exposure to MLOps concepts such as model packaging, batch scoring, simple monitoring, or collaboration with data engineering.
Experience contributing in a monorepo or large shared codebase.
Awareness of data privacy basics and responsible handling of sensitive data.
A portfolio, Kaggle profile, coursework, or side projects demonstrating end-to-end analysis or modeling.

Skills and Tools

Python
R
SQL
Git
Matplotlib
Seaborn
Plotly
ggplot
Cloud platforms (GCP, AWS, Azure)
MLOps tools and concepts

About the Company

WPP is a trusted growth partner for leading global brands, uniting media intelligence, data solutions, creativity, production, and enterprise solutions. Operating in over 100 markets, the company uses its agentic marketing platform, WPP Open, to help clients navigate change and achieve transformational growth. The Copenhagen team operates in a hybrid model with approximately four days a week in the office, fostering a culture of creativity, collaboration, and continuous learning.

How to Apply

Interested candidates should visit the official WPP careers page to submit their application and review additional privacy information.

Skills and tech stack

Questions candidates ask

What is the location of this job?

This position is located in Copenhagen, Denmark, operating on a hybrid schedule with team members in the office approximately four days a week.

How much experience is required?

The role requires up to approximately two years of experience in data science, analytics, applied statistics, or a related internship or graduate role.

What technical skills are needed?

Candidates need strong hands-on skills in Python or R, solid SQL for data querying, a good grasp of statistics and core machine learning concepts, experience with Git and notebooks, and familiarity with data visualization tools.

Who will I report to?

You will report directly to the Lead Engineer within the Open Intelligence activation arm at WPP.

What kind of projects will I work on?

You will support building and evaluating models, performing exploratory data analysis, investigating metric anomalies, ensuring data quality, and contributing to privacy-preserving data products.

Ready to apply?

The application is on the official WPP careers page.

Apply on company site