Data Engineering and Science Platformer (entry level) in London

• Agentur : Havas Stellenbeschreibung : Data Science & Engineering Platformer
• Agency: Havas Media

Data Science & Engineering Platformer About Havas Media Havas is one of the world’s largest global communications groups, employing over 20,000 people in over 100 countries around the world.

Our ambition is to be the UK’s most integrated, agile media and marketing services group with data, content, and entertainment at our core.

It’s an exciting time for Havas Group in the UK, based in the Havas Village, known as HKX, in King’s Cross, London.

This sees all UK agencies and 1,700 people come together under one roof, with one common purpose to further our #Havas Together mantra, bringing media and creative together.

Havas agencies stretch across media, creative, CRM, PR, healthcare, entertainment, and include among others Havas Media, Havas London, Havas Sports & Entertainment and Havas Helia.

Havas Media have also recently launched CSA - a global consultancy, data science and analytics brand.

This role sits under the CSA brand in Havas Media Groups Data and Analytics (DNA) team.

The

Team: Our DNA team is at the core of the Havas Media proposition, providing marketing analytics, data science & engineering, consumer insight and Martech consultancy.

Working closely together with our account teams, the DNA team’s work allows clients to understand their customers, optimise their marketing investment plans and grow their brands.

Within the Havas Data Science and Engineering team, we build the in-house tools and services that power data-driven marketing across the group.

We work primarily in Python and SQL, on Google Cloud Platform, developing everything from data pipelines to analytics platforms.

As an agency, our work directly supports the strategies and campaigns behind some of the world's best-known brands, so what we build has real, visible impact.

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, Num Py, or visualisation libraries) is a bonus, not a requirement.
• Comfort with Excel for quick data analysis and Power Point 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

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 Vertragsart : Intern

In der Havas Gruppe sind wir stolz darauf, allen potenziellen Mitarbeitern gleiche Chancen bieten zu können und keine Diskriminierung zu tolerieren.

Wir sind ein Arbeitgeber, der sich für Chancengleichheit einsetzt und begrüßen Bewerber unabhängig von Alter, Geschlecht, ethnischer Zugehörigkeit, Behinderung und anderen Faktoren, die keinen Einfluss auf die Fähigkeit einer Person haben, ihre Arbeit zu erledigen.

Havas Group Die Havas Group ist eine der weltweit größten globalen Kommunikationsgruppen.

Die 1835 in Paris gegründete Gruppe beschäftigt 20.000 Mitarbeitenden in mehr als 100 Ländern.

Die Havas Group ist bestrebt, das weltweit beste Unternehmen zu sein, um durch Kreativität, Medien und Innovation sinnvolle Verbindungen zwischen Menschen und Marken herzustellen.

Havas Media Havas Media Netzwerke definieren die Art und Weise, wie Marken mit Menschen in Kontakt treten.

Unsere Mediaagenturen decken alle Bereiche der modernen Kommunikation ab und bieten integrierte Lösungen aus einer Hand an.

Das umfasst alle klassischen Medien, Social Media, Programmatic Media, Search, Performance, E-Commerce, Kreation sowie Lösungen rund um Data Intelligence, Ad Tech, Consumer Insights, Modelling und die Umsetzung von maßgeschneiderten Forschungsprojekten.

Arbeiten bei der Havas Wir sind sehr stolz auf unsere Havas Familie .

Sie bringet viele einzigartige Persönlichkeiten, Perspektiven, und Leidenschaften in die Arbeit ein.

Zusammenarbeit ist der Kern unserer Arbeitsweise.

Wir ermutigen unsere Mitarbeitenden, die vielfältigen Wachstumschancen zu nutzen - sei es ein Training vor Ort, ein spezielles Projekt oder eines unserer einzigartigen globalen Entwicklungsprogramme.

Wir glauben, dass wir am besten sind, wenn wir eine positive Feedbackkultur pflegen, die es uns ermöglichst uns gegenseitig zu unterstützen.

Bei Havas geht es darum, gemeinsam großartige Arbeit zu schaffen.

Wir sind #Havas Together.

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