Data Engineering and Science Platformer (entry level)

• Data Science & Engineering Platformer www. havasmedianetwork. com
• Agency: Havas Media
• 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

• 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 visualization 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
• HR Benefits
• Free breakfast in the office
• Wellbeing and mental health support
• Yulife - wellbeing app
• Gym discount
• Eye care
• Cycle to workscheme
• 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.

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