JUNIOR DATA Scientist Data, Product and Technology · Shoreditch

JUNIOR DATA SCIENTIST

We Realise Potential in Your Story

Based in the heart of Shoreditch, we are a multi-platform production company, social media agency, and digital media network who are currently on a quest to find a Junior Data Scientist to join our Data, Product and Technology team - Is this your next opportunity?

As a Junior Data Scientist, you will contribute to the development and delivery of data science products, working alongside senior data scientists. You will be involved in implementing and refining supervised learning, bandit algorithms, and generative AI models, as well as supporting experimentation and analysis.

You will write production-quality Python code, collaborate on cloud-based deployments, and help translate data insights into actionable recommendations that drive business impact. This role provides hands‑on experience while allowing you to take ownership of well‑scoped components within larger projects.

This is a fantastic opportunity for an early‑career data scientist with an analytical background to join and grow within a market leading digital content agency and media network.

We are proud to be an award winning, B Corp™ Certified workplace with employee wellbeing at the heart of everything we do. We offer hybrid and flexi‑time working, mental health and wellbeing programmes, enhanced gender neutral parental leave, interest‑free financial support and a digital nomad policy that allows you to work from abroad in two one‑week blocks a year. Plus all the usuals such as pension contributions, annual leave and office perks like free lunches, socials, and health treatments!

• Model Development: Assist in developing, testing, and improving machine learning models, with a focus on bandit algorithms and experimentation frameworks.
• Experimentation: Support the set‑up, execution, and analysis of A/B tests and online experiments to evaluate the impact of our generative AI‑driven products.
• Production Support: Assist with deploying and monitoring models and experiments on GCP (Airflow, Docker, Cloud Run, SQL databases, etc.), following existing patterns and CI/CD workflows.
• Data Analysis: Perform exploratory data analysis, data validation, and basic feature engineering to support modelling and experimentation efforts.
• Collaboration: Work closely with senior data scientists, engineers, and product stakeholders to understand business problems and translate them into actionable tasks.

Skills matter, experience is useful, attitude is everything.

• Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field teamed with some relevant work experience.
• Solid foundation in SQL and Python, including experience with common libraries such as Pandas, Num Py, Scikit‑learn, Matplotlib, and Stats models.
• Basic understanding of supervised learning, experimentation, causal inference, and concepts in reinforcement learning and multi‑armed bandits.
• Foundational knowledge of probability, statistics, and linear algebra.
• Working knowledge of Git, including version control and collaboration through pull requests and code reviews.
• Ability to write good documentation and ability to explain analysis results clearly to technical and non‑technical audiences.
• Familiarity with deploying machine learning models in production cloud environments (GCP or AWS).

We’re probably the biggest studio you didn’t know was fuelling your favourite content. We’ve been one of the top dogs in the digital content space since 2013 (some would say, before its potential was even fully realised). We're proud to work with some of the hottest TV and movie studios, distributors, rights holders, sports federations and brands in the business.

We are committed to fostering a diverse, inclusive, and equitable workplace at Little Dot that reflects our diverse digital audiences and communities we work and live in. We are committed to ensuring every employee feels valued and empowered to contribute their unique perspectives. We welcome candidates of all backgrounds, experiences, and identities to apply to our vacancies, and we strive to create an environment where differences are celebrated, and everyone has equal opportunity to thrive.

Learn more about us, our values and our commitments please visit our website  for more information.