Junior Data Science Engineer - 1 Year Data Placement

Medialab Group
London, GB
Hybrid

Why this role

Pace
Fast Paced
The job requires a fast-paced environment, as evidenced by the need to support the development of AI agents and rapid Proofs of Concept (POCs), indicating a dynamic and swiftly evolving work context.
Collaboration
High
Collaboration is a key aspect of this role, as the job description emphasizes working closely with data scientists and stakeholders to refine and enhance internal tools, highlighting the importance of teamwork and communication.
Autonomy
Medium
While collaboration is important, the role also allows for a significant degree of autonomy, as seen in the requirement to independently troubleshoot and improve internal tools based on user feedback.
Decision Impact
Team
Decisions made in this role can significantly impact the efficiency and accuracy of data analysis and modeling processes, as the engineer is responsible for implementing and improving machine learning workflows and supporting the deployment and monitoring of models.
Role Level
Individual Contributor
The complexity of the role is high, given the need to apply theoretical knowledge of machine learning and statistical techniques to practical applications, as well as the requirement to write clean, testable code and maintain clear technical documentation.

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Building Python tools and automated pipelines for data science
Typical background
Pursuing a degree in Data Science, Computer Science, or a related field

Transferable backgrounds

  • Coming from software developer at a tech startup
    software engineering · Python proficiency · problem-solving
    The experience of developing and maintaining software in a startup environment can be directly applied to the role of a Junior Data Science Engineer, where similar skills are used to support the development of data science tools.
  • Coming from data analyst at a marketing agency
    data analysis · SQL · statistical techniques
    A background in data analysis, particularly in a marketing context, provides the foundational skills needed to support the development and maintenance of data science tools and enhance internal modeling and data analysis tools.

Skills & requirements

Required

Data SciencePythonData InfrastructureEconometricsAutomation

Preferred

Media AdvertisingAI And Automation

Stack & domain

PythonPandasNumPySQLMachine LearningVersion ControlCommunicationTeamworkProblem-solvingData ScienceAIAutomation

About the role

As a Junior Data Science Engineer at Medialab, you'll play a pivotal role in developing and maintaining data science tools, working closely with data scientists and stakeholders to enhance the efficiency and scalability of the company's data infrastructure. This role is ideal for someone with a strong foundation in Python and a keen interest in applying their skills to real-world challenges in the media advertising industry.

Original posting from Medialab Group via Indeed

JOIN OUR JOURNEY

Medialab is the UK’s leading independent media agency, and one of the fastest growing in the industry. We’re a media agency that’s made differently: purpose-led, data-driven, founder-run and proudly independent.

Our entrepreneurial spirit means success is recognised and rewarded. There are no limits to what you can achieve here, which our employees agree with, evidenced by being a Campaign Best Place to Work for six consecutive years and one of The Sunday Times Best Places to Work 2025. As well as this, we’re Campaign’s Independent Agency of the Year 2024 and Media Week’s Independent Agency of the Year 2025.

We are IPA Effectiveness accredited, an IPA People-First agency, and All In Champions, with industry-leading work recognised by double-gold at the 2024 IPA Effectiveness Awards for our work with Laithwaites and a 2025 Effie for our work with Alzheimer’s Society.

Our independence means we can focus 100% on doing the right thing to secure success for our clients and our brilliant people. We work with a wide variety of clients including Hovis, IG, Sharps Bedrooms, SunLife, Standard Life, Ancestry, Laithwaites Wine, Save the Children, Guide Dogs, Alzheimer’s Society, RNLI and Clearscore.

OUR VALUES

  • Commit to Doing the Right Thing (Act with integrity and accountability)
  • Help People Flourish (Invest in people)
  • Dig Deeper to Understand Better (Data driven curiosity)

OUR COMMITMENT TO YOU

Working at Medialab comes with lots of perks including all the usual things you would expect, such as a competitive salary package, pension, season ticket loans, cycle to work scheme, weekly social events and big summer / end of year parties.

On top of that, we offer extra benefits, which make life at Medialab even more rewarding:

  • Time to Unwind – 22 days holiday (+ Christmas holiday closure), a day off for your birthday, holiday buying scheme, flexi-hours, and both a work abroad and cultural bank holiday swap scheme.
  • Hybrid Working – Balance between home and office. We welcome requests for flexible working arrangements from the commencement of employment.
  • Career Growth – A meritocratic approach to progression with quarterly reviews, CPD Platinum accredited training, mentoring and leadership support.
  • Health & Wellbeing – Private medical insurance, health cash plan, gym discounts, wellbeing apps Mental Health First Aiders and free professional counselling.
  • Supporting Families – Enhanced parental leave pay, flexible working and life assurance.
  • Giving Back – Paid charity days and sustainability initiatives.
  • Perks & Rewards – Retail discounts, long-service trips and an unforgettable team culture.

YOUR NEXT CHALLENGE

Are you interested in building the software and data infrastructure that powers advanced data science in the media advertising landscape? Does the world of AI and automation grab your attention?

If the answer to all the above is ‘YES!’ then look no further than Medialab.

As a Placement Data Science Engineer at Medialab, you will join the rapidly developing data team, acting as the engineering engine behind our modelling infrastructure. You will be responsible for building the Python tools, automated pipelines, and AI solutions that empower our econometricians to measure media investment, create compelling data stories, and automate insights with unprecedented speed and accuracy.

We are looking for practical, logical, detail-oriented and above-all, enthusiastic placement students to support in delivering robust infrastructure and building on the technical capabilities of our products.

We will help you apply your software engineering, Python, and problem-solving skills to practical real-world applications in the media advertising landscape.

HOW YOU WILL MAKE AN IMPACT

  • Support the development and maintenance of data science tools, improving automation, efficiency, and scalability.
  • Work closely with data scientists and stakeholders to refine and enhance our internal modelling and data analysis tools, transforming manual workflows into reliable infrastructure.
  • Support in the hands-on development of AI agents and rapid Proofs of Concept (POCs).
  • Implement and improve machine learning workflows, supporting the deployment and monitoring of models.
  • Act as frontline technical support, troubleshooting and applying user feedback to iteratively improve internal tools.
  • Write clean, testable code and maintain clear technical documentation.
  • Manage development tickets within an Agile environment.

WHAT YOU BRING TO THE TEAM

MUST HAVE SKILLS

  • Currently pursuing a degree in Computer Science, Software Engineering, Data Science
  • Proficiency in Python, specifically with popular libraries like Pandas and NumPy.
  • Highly capable with Microsoft Excel and the wider MS Office suite.
  • Exposure to SQL for querying and managing structured datasets.
  • Theoretical understanding of machine learning concepts and statistical techniques.
  • Foundational experience with version control (Gi

Source: Medialab Group careers (Indeed)

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