Data Engineering and Science Platformer (entry level)

The Data Science & Engineering Platformer should have these qualities:

• This role is open to anyone who can demonstrate real, genuine interest in data and technology - you don't need to come in as a finished technical expert, but you do need curiosity, drive, and a willingness to learn.
• Curiosity about data and technology
• A strong numerical and analytical mindset, whether developed through formal study or self-directed learning
• Enthusiasm for using data science and engineering to help drive smarter business decisions
• A keen interest in media and entertainment, as well as how data can shape audience insights and marketing strategies
• Interest in using Python and SQL for data manipulation, analysis, and automation (this can be through coursework, personal projects, or self-teaching - we're happy to help you build on it)
• Willingness to learn data engineering tools and workflows
• Experience with statistical or analytical tools (e.g. R, pandas, NumPy, or visualization libraries) is a bonus, not a requirement
• Comfort with Excel for quick data analysis and PowerPoint for communicating insights effectively

In this role you will:

• Contribute throughout the data product lifecycle, from data collection and transformation to analysis, modeling, and deployment.
• Be involved in designing and maintaining data pipelines to ensure reliable and efficient data flow across various systems and projects.
• Work to support model development for audience insights and media performance measurement.
• Collaborate with the team and contribute to developing data-driven tools or internal applications that enhance business decision-making.
• Work closely with Client Planning, Data Ops, Consumer Research & Insight, and Data Strategy teams to turn data into actionable recommendations and compelling stories for clients and stakeholders.
• Gain exposure to cloud platforms (such as AWS, GCP, or Azure); familiarity is helpful but not essential—curiosity and willingness to learn are key.

We don’t expect you to have deep experience yet, but we’re looking for someone eager to grow and learn. You’ll gain hands-on experience with real-world data, engineering workflows, and analytical techniques as part of your day-to-day work.

You will also:

• Extract, process, and transform large and varied datasets from multiple sources, ensuring data accuracy, consistency, and readiness for analysis.
• Conduct data analysis and exploration using tools such as Python, SQL, and Excel.
• Perform competitor and market analysis, identifying trends and providing data-driven recommendations based on findings.
• Create clear, insightful, and visually engaging presentations or dashboards to communicate analytical outcomes effectively to both technical and non-technical audiences.
• Apply analytical and statistical theory to real-world problems, learning to implement practical data science and engineering solutions.
• Interpret data to uncover key insights and communicate findings in both written and verbal form.

Does this sound like you?

• You love tackling business questions and think analytically.
• You’re also a curious, strategic problem solver, able to apply critical thinking at every stage of a media planning process.
• You’re a high energy, positive, can-do person, always looking for ways to improve what we do.
• You have strong communication skills with an interest in presenting data-driven stories to people who don’t work with data.
• You feel comfortable working in a fast-paced environment, collaboratively and independently.
• You have great attention to detail.
• You can communicate in fluent, professional verbal and written English.

On the Platform programme, you'll benefit from:

HR Benefits

• Free breakfast in the office
• Wellbeing and mental health support
• Yulife - wellbeing app
• Gym discount
• Eye care
• Cycle to work scheme
• Season ticket loan
• Employee assistance programme
• Workplace Nurseries

Training and Development sessions

• Communication
• Productivity
• Career Development
• Diversity, Equity & Inclusion
• Networking
• Industry Insights
• Group Projects

We work in a hybrid working model – in office and remotely.
Office Location: 3 Pancras Square, London N1C 4AG

This is a ‘hybrid’ role, which means that candidates will be required to work some of time in the office and some time working from home. The exact split of time across the office and home will be dependent on each team and the requirements of the tasks on any given week. However, Platformers should expect to be in the office up to 100% of the time, if required.

#LI-GT1

Contract Type: Intern

Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual’s ability to perform their job.